Kai-Wei Chang

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

The steerability of large language models toward data-driven personas.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Detecting Multimodal Situations with Insufficient Context and Abstaining from Baseless Predictions.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

MIRACLE: An Online, Explainable Multimodal Interactive Concept Learning System.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

On Prompt-Driven Safeguarding for Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Characterizing Truthfulness in Large Language Model Generations with Local Intrinsic Dimension.

[BibT_eX]

[DOI]

Fan Yin

Jayanth Srinivasa

Proceedings of the Forty-first International Conference on Machine Learning, 2024

ConTextual: Evaluating Context-Sensitive Text-Rich Visual Reasoning in Large Multimodal Models.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Position: TrustLLM: Trustworthiness in Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

CoBIT: A Contrastive Bi-directional Image-Text Generation Model.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Dynamic-Superb: Towards a Dynamic, Collaborative, and Comprehensive Instruction-Tuning Benchmark For Speech.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

Synchronous Faithfulness Monitoring for Trustworthy Retrieval-Augmented Generation.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

MACAROON: Training Vision-Language Models To Be Your Engaged Partners.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Data Advisor: Dynamic Data Curation for Safety Alignment of Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

The Factuality Tax of Diversity-Intervened Text-to-Image Generation: Benchmark and Fact-Augmented Intervention.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

QUDSELECT: Selective Decoding for Questions Under Discussion Parsing.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

SPEED++: A Multilingual Event Extraction Framework for Epidemic Prediction and Preparedness.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Attribute Controlled Fine-tuning for Large Language Models: A Case Study on Detoxification.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

LLM-A*: Large Language Model Enhanced Incremental Heuristic Search on Path Planning.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

FLIRT: Feedback Loop In-context Red Teaming.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Control Large Language Models via Divide and Conquer.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Re-ReST: Reflection-Reinforced Self-Training for Language Agents.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

MetaKP: On-Demand Keyphrase Generation.

[BibT_eX]

[DOI]

Xiaoxian Shen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

VDebugger: Harnessing Execution Feedback for Debugging Visual Programs.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

MATHVERSE: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Understanding and Mitigating Spurious Correlations in Text Classification with Neighborhood Analysis.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

VideoCon: Robust Video-Language Alignment via Contrast Captions.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Medical Vision-Language Pre-Training for Brain Abnormalities.

[BibT_eX]

[DOI]

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Can Small Language Models Help Large Language Models Reason Better?: LM-Guided Chain-of-Thought.

[BibT_eX]

[DOI]

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

On Leveraging Encoder-only Pre-trained Language Models for Effective Keyphrase Generation.

[BibT_eX]

[DOI]

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Agent Lumos: Unified and Modular Training for Open-Source Language Agents.

[BibT_eX]

[DOI]

Faeze Brahman

Abhilasha Ravichander

Khyathi Raghavi Chandu

Yejin Choi

Bill Yuchen Lin

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

KPEval: Towards Fine-Grained Semantic-Based Keyphrase Evaluation.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Codec-SUPERB: An In-Depth Analysis of Sound Codec Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Tree-of-Traversals: A Zero-Shot Reasoning Algorithm for Augmenting Black-box Language Models with Knowledge Graphs.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

TextEE: Benchmark, Reevaluation, Reflections, and Future Challenges in Event Extraction.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Semantic Loss Functions for Neuro-Symbolic Structured Prediction.

[BibT_eX]

[DOI]

Proceedings of the Compendium of Neurosymbolic Artificial Intelligence, 2023

Are you talking to ['xem'] or ['x', 'em']? On Tokenization and Addressing Misgendering in LLMs with Pronoun Tokenization Parity.

[BibT_eX]

[DOI]

CoRR, 2023

Planning as In-Painting: A Diffusion-Based Embodied Task Planning Framework for Environments under Uncertainty.

[BibT_eX]

[DOI]

CoRR, 2023

A Reevaluation of Event Extraction: Past, Present, and Future Challenges.

[BibT_eX]

[DOI]

CoRR, 2023

JAB: Joint Adversarial Prompting and Belief Augmentation.

[BibT_eX]

[DOI]

CoRR, 2023

Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs.

[BibT_eX]

[DOI]

Faeze Brahman

Abhilasha Ravichander

Khyathi Raghavi Chandu

Yejin Choi

Bill Yuchen Lin

CoRR, 2023

An Exploration of In-Context Learning for Speech Language Model.

[BibT_eX]

[DOI]

CoRR, 2023

Will the Prince Get True Love's Kiss? On the Model Sensitivity to Gender Perturbation over Fairytale Texts.

[BibT_eX]

[DOI]

CoRR, 2023

MathVista: Evaluating Math Reasoning in Visual Contexts with GPT-4V, Bard, and Other Large Multimodal Models.

[BibT_eX]

[DOI]

CoRR, 2023

Dynamic-SUPERB: Towards A Dynamic, Collaborative, and Comprehensive Instruction-Tuning Benchmark for Speech.

[BibT_eX]

[DOI]

CoRR, 2023

Contextual Label Projection for Cross-Lingual Structure Extraction.

[BibT_eX]

[DOI]

CoRR, 2023

AVIS: Autonomous Visual Information Seeking with Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

ChatGPT for Us: Preserving Data Privacy in ChatGPT via Dialogue Text Ambiguation to Expand Mental Health Care Delivery.

[BibT_eX]

[DOI]

CoRR, 2023

SpeechGen: Unlocking the Generative Power of Speech Language Models with Prompts.

[BibT_eX]

[DOI]

CoRR, 2023

Text encoders are performance bottlenecks in contrastive vision-language models.

[BibT_eX]

[DOI]

Amita Kamath

Jack Hessel

CoRR, 2023

Understanding and Mitigating Spurious Correlations in Text Classification.

[BibT_eX]

[DOI]

CoRR, 2023

KPEval: Towards Fine-grained Semantic-based Evaluation of Keyphrase Extraction and Generation Systems.

[BibT_eX]

[DOI]

CoRR, 2023

SpeechPrompt v2: Prompt Tuning for Speech Classification Tasks.

[BibT_eX]

[DOI]

CoRR, 2023

Incorporating Fairness in Large Scale NLU Systems.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DesCo: Learning Object Recognition with Rich Language Descriptions.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

AVIS: Autonomous Visual Information Seeking with Large Language Model Agent.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Pseudo-Semantic Loss for Autoregressive Models with Logical Constraints.

[BibT_eX]

[DOI]

Kareem Ahmed

Guy Van den Broeck

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ABC-KD: Attention-Based-Compression Knowledge Distillation for Deep Learning-Based Noise Suppression.

[BibT_eX]

[DOI]

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Self-Augmentation Improves Zero-Shot Cross-Lingual Transfer.

[BibT_eX]

[DOI]

Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

On the Paradox of Learning to Reason from Data.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Ensemble Knowledge Distillation of Self-Supervised Speech Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

"I'm fully who I am": Towards Centering Transgender and Non-Binary Voices to Measure Biases in Open Language Generation.

[BibT_eX]

[DOI]

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

IdealGPT: Iteratively Decomposing Vision and Language Reasoning via Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

LACMA: Language-Aligning Contrastive Learning with Meta-Actions for Embodied Instruction Following.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Rethinking Model Selection and Decoding for Keyphrase Generation with Pre-trained Sequence-to-Sequence Models.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Dataset Bias Mitigation in Multiple-Choice Visual Question Answering and Beyond.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Are Personalized Stochastic Parrots More Dangerous? Evaluating Persona Biases in Dialogue Systems.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

"Kelly is a Warm Person, Joseph is a Role Model": Gender Biases in LLM-Generated Reference Letters.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

What's "up" with vision-language models? Investigating their struggle with spatial reasoning.

[BibT_eX]

[DOI]

Amita Kamath

Jack Hessel

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Text encoders bottleneck compositionality in contrastive vision-language models.

[BibT_eX]

[DOI]

Amita Kamath

Jack Hessel

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Retrieval Enhanced Data Augmentation for Question Answering on Privacy Policies.

[BibT_eX]

[DOI]

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Summarize and Generate to Back-translate: Unsupervised Translation of Programming Languages.

[BibT_eX]

[DOI]

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

GIVL: Improving Geographical Inclusivity of Vision-Language Models with Pre-Training Methods.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Reveal: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge Memory.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Does BERT Exacerbate Gender or L1 Biases in Automated English Speaking Assessment?

[BibT_eX]

[DOI]

Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications, 2023

Minisuperb: Lightweight Benchmark for Self-Supervised Speech Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

Towards General-Purpose Text-Instruction-Guided Voice Conversion.

[BibT_eX]

[DOI]

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

Prompting and Adapter Tuning For Self-Supervised Encoder-Decoder Speech Model.

[BibT_eX]

[DOI]

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

Semantic Strengthening of Neuro-Symbolic Learning.

[BibT_eX]

[DOI]

Kareem Ahmed

Guy Van den Broeck

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Factoring the Matrix of Domination: A Critical Review and Reimagination of Intersectionality in AI Fairness.

[BibT_eX]

[DOI]

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

Indirectly Supervised Natural Language Processing.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts, 2023

Efficient Shapley Values Estimation by Amortization for Text Classification.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

PIP: Parse-Instructed Prefix for Syntactically Controlled Paraphrase Generation.

[BibT_eX]

[DOI]

Yixin Wan

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

UniFine: A Unified and Fine-grained Approach for Zero-shot Vision-Language Understanding.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

The Tail Wagging the Dog: Dataset Construction Biases of Social Bias Benchmarks.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

GENEVA: Benchmarking Generalizability for Event Argument Extraction with Hundreds of Event Types and Argument Roles.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

MetaVL: Transferring In-Context Learning Ability From Language Models to Vision-Language Models.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

Resolving Ambiguities in Text-to-Image Generative Models.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

A Survey of Deep Learning for Mathematical Reasoning.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Enhancing Unsupervised Semantic Parsing with Distributed Contextual Representations.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Symbolic Chain-of-Thought Distillation: Small Models Can Also "Think" Step-by-Step.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-Translation.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

TAGPRIME: A Unified Framework for Relational Structure Extraction.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

PLUE: Language Understanding Evaluation Benchmark for Privacy Policies in English.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

AVATAR: A Parallel Corpus for Java-Python Program Translation.

[BibT_eX]

[DOI]

Md Golam Rahman Tushar

Saikat Chakraborty

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Pre-trained Language Models for Keyphrase Generation: A Thorough Empirical Study.

[BibT_eX]

[DOI]

CoRR, 2022

Is the Elephant Flying? Resolving Ambiguities in Text-to-Image Generative Models.

[BibT_eX]

[DOI]

CoRR, 2022

Auditing Algorithmic Fairness in Machine Learning for Health with Severity-Based LOGAN.

[BibT_eX]

[DOI]

CoRR, 2022

Empowering Language Models with Knowledge Graph Reasoning for Question Answering.

[BibT_eX]

[DOI]

CoRR, 2022

Watermarking Pre-trained Language Models with Backdooring.

[BibT_eX]

[DOI]

CoRR, 2022

MAGIC: Mask-Guided Image Synthesis by Inverting a Quasi-Robust Classifier.

[BibT_eX]

[DOI]

CoRR, 2022

Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering.

[BibT_eX]

[DOI]

CoRR, 2022

DisinfoMeme: A Multimodal Dataset for Detecting Meme Intentionally Spreading Out Disinformation.

[BibT_eX]

[DOI]

CoRR, 2022

A Simple and Unified Tagging Model with Priming for Relational Structure Predictions.

[BibT_eX]

[DOI]

CoRR, 2022

GENEVA: Pushing the Limit of Generalizability for Event Argument Extraction with 100+ Event Types.

[BibT_eX]

[DOI]

CoRR, 2022

Multimodal Adaptive Distillation for Leveraging Unimodal Encoders for Vision-Language Tasks.

[BibT_eX]

[DOI]

CoRR, 2022

A Survey of Knowledge-Intensive NLP with Pre-Trained Language Models.

[BibT_eX]

[DOI]

CoRR, 2022

Neuro-symbolic entropy regularization.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Superb @ SLT 2022: Challenge on Generalization and Efficiency of Self-Supervised Speech Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Spoken Language Technology Workshop, 2022

An Analysis of The Effects of Decoding Algorithms on Fairness in Open-Ended Language Generation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Spoken Language Technology Workshop, 2022

On the Discrimination Risk of Mean Aggregation Feature Imputation in Graphs.

[BibT_eX]

[DOI]

Arjun Subramonian

Yizhou Sun

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Controllable Text Generation with Neurally-Decomposed Oracle.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Semantic Probabilistic Layers for Neuro-Symbolic Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Socially Aware Bias Measurements for Hindi Language Representations.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

DEGREE: A Data-Efficient Generation-Based Event Extraction Model.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosis.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

An Exploration of Prompt Tuning on Generative Spoken Language Model for Speech Processing Tasks.

[BibT_eX]

[DOI]

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

On Measures of Biases and Harms in NLP.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022, 2022

How Much Can CLIP Benefit Vision-and-Language Tasks?

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Toward Degradation-Robust Voice Conversion.

[BibT_eX]

[DOI]

Chien-yu Huang

Hung-Yi Lee

Proceedings of the IEEE International Conference on Acoustics, 2022

Investigating Ensemble Methods for Model Robustness Improvement of Text Classifiers.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Find Someone Who: Visual Commonsense Understanding in Human-Centric Grounding.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

ADDMU: Detection of Far-Boundary Adversarial Examples with Data and Model Uncertainty Estimation.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

GeoMLAMA: Geo-Diverse Commonsense Probing on Multilingual Pre-Trained Language Models.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Weight Perturbation as Defense against Adversarial Word Substitutions.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Representation Learning for Resource-Constrained Keyphrase Generation.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Understanding ME? Multimodal Evaluation for Fine-grained Visual Commonsense.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Unsupervised Syntactically Controlled Paraphrase Generation with Abstract Meaning Representations.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Empowering Language Models with Knowledge Graph Reasoning for Open-Domain Question Answering.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Conditional Supervised Contrastive Learning for Fair Text Classification.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

How well can Text-to-Image Generative Models understand Ethical Natural Language Interventions?

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Grounded Language-Image Pre-training.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Improving the Adversarial Robustness of NLP Models by Information Bottleneck.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

On the Sensitivity and Stability of Model Interpretations in NLP.

[BibT_eX]

[DOI]

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Towards Adversarially Robust Text Classifiers by Learning to Reweight Clean Examples.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Measuring Fairness of Text Classifiers via Prediction Sensitivity.

[BibT_eX]

[DOI]

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Multilingual Generative Language Models for Zero-Shot Cross-Lingual Event Argument Extraction.

[BibT_eX]

[DOI]

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

On the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language Representations.

[BibT_eX]

[DOI]

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

SGEITL: Scene Graph Enhanced Image-Text Learning for Visual Commonsense Reasoning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

PYLON: A PyTorch Framework for Learning with Constraints.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Event Extraction as Natural Language Generation.

[BibT_eX]

[DOI]

CoRR, 2021

What do Bias Measures Measure?

[BibT_eX]

[DOI]

CoRR, 2021

Integrating topic modeling and word embedding to characterize violent deaths.

[BibT_eX]

[DOI]

Alina Arseniev-Koehler

CoRR, 2021

Clinical Named Entity Recognition using Contextualized Token Representations.

[BibT_eX]

[DOI]

CoRR, 2021

SpeechNet: A Universal Modularized Model for Speech Processing Tasks.

[BibT_eX]

[DOI]

CoRR, 2021

On the Faithfulness Measurements for Model Interpretations.

[BibT_eX]

[DOI]

CoRR, 2021

Revealing Persona Biases in Dialogue Systems.

[BibT_eX]

[DOI]

CoRR, 2021

Leveraging Unlabeled Data for Entity-Relation Extraction through Probabilistic Constraint Satisfaction.

[BibT_eX]

[DOI]

CoRR, 2021

Double Perturbation: On the Robustness of Robustness and Counterfactual Bias Evaluation.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Adapting Coreference Resolution for Processing Violent Death Narratives.

[BibT_eX]

[DOI]

Ankith Uppunda

Susan D. Cochran

Jacob G. Foster

Alina Arseniev-Koehler

Vickie M. Mays

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

"Nice Try, Kiddo": Investigating Ad Hominems in Dialogue Responses.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Evaluating the Values of Sources in Transfer Learning.

[BibT_eX]

[DOI]

Md. Rizwan Parvez

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Unsupervised Vision-and-Language Pre-training Without Parallel Images and Captions.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Disentangling Semantics and Syntax in Sentence Embeddings with Pre-trained Language Models.

[BibT_eX]

[DOI]

James Y. Huang

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Unified Pre-training for Program Understanding and Generation.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

An Integer Linear Programming Framework for Mining Constraints from Data.

[BibT_eX]

[DOI]

Tao Meng

Proceedings of the 38th International Conference on Machine Learning, 2021

CREATe: Clinical Report Extraction and Annotation Technology.

[BibT_eX]

[DOI]

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosis.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation.

[BibT_eX]

[DOI]

Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

On the Transferability of Adversarial Attacks against Neural Text Classifier.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Broaden the Vision: Geo-Diverse Visual Commonsense Reasoning.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Retrieval Augmented Code Generation and Summarization.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Searching for an Effective Defender: Benchmarking Defense against Adversarial Word Substitution.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Improving Zero-Shot Cross-Lingual Transfer Learning via Robust Training.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Relation-Guided Pre-Training for Open-Domain Question Answering.

[BibT_eX]

[DOI]

Ziniu Hu

Yizhou Sun

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Generating Syntactically Controlled Paraphrases without Using Annotated Parallel Pairs.

[BibT_eX]

[DOI]

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Defense against Synonym Substitution-based Adversarial Attacks via Dirichlet Neighborhood Ensemble.

[BibT_eX]

[DOI]

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Ethical-Advice Taker: Do Language Models Understand Natural Language Interventions?

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Societal Biases in Language Generation: Progress and Challenges.

[BibT_eX]

[DOI]

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Does Robustness Improve Fairness? Approaching Fairness with Word Substitution Robustness Methods for Text Classification.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Syntax-augmented Multilingual BERT for Cross-lingual Transfer.

[BibT_eX]

[DOI]

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Intent Classification and Slot Filling for Privacy Policies.

[BibT_eX]

[DOI]

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Select, Extract and Generate: Neural Keyphrase Generation with Layer-wise Coverage Attention.

[BibT_eX]

[DOI]

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

GATE: Graph Attention Transformer Encoder for Cross-lingual Relation and Event Extraction.

[BibT_eX]

[DOI]

Nanyun Peng

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Distributed block-diagonal approximation methods for regularized empirical risk minimization.

[BibT_eX]

[DOI]

Ching-Pei Lee

Mach. Learn., 2020

Generating universal language adversarial examples by understanding and enhancing the transferability across neural models.

[BibT_eX]

[DOI]

CoRR, 2020

Weakly-supervised VisualBERT: Pre-training without Parallel Images and Captions.

[BibT_eX]

[DOI]

CoRR, 2020

"Nice Try, Kiddo": Ad Hominems in Dialogue Systems.

[BibT_eX]

[DOI]

CoRR, 2020

Select, Extract and Generate: Neural Keyphrase Generation with Syntactic Guidance.

[BibT_eX]

[DOI]

CoRR, 2020

XAlgo: Explaining the Internal States of Algorithms via Question Answering.

[BibT_eX]

[DOI]

CoRR, 2020

Defense against Adversarial Attacks in NLP via Dirichlet Neighborhood Ensemble.

[BibT_eX]

[DOI]

CoRR, 2020

Automatic Perturbation Analysis on General Computational Graphs.

[BibT_eX]

[DOI]

CoRR, 2020

Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

GPT-GNN: Generative Pre-Training of Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Generating Sports News from Live Commentary: A Chinese Dataset for Sports Game Summarization.

[BibT_eX]

[DOI]

Chen Li

Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

Robustness Verification for Transformers.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Dynamically Expanded CNN Array for Video Coding.

[BibT_eX]

[DOI]

Everett Fall

Liang-Gee Chen

Proceedings of the ICIGP 2020: 3rd International Conference on Image and Graphics Processing, 2020

LOGAN: Local Group Bias Detection by Clustering.

[BibT_eX]

[DOI]

Jieyu Zhao

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Towards Controllable Biases in Language Generation.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Cross-Lingual Dependency Parsing by POS-Guided Word Reordering.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

PolicyQA: A Reading Comprehension Dataset for Privacy Policies.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

"The Boating Store Had Its Best Sail Ever": Pronunciation-attentive Contextualized Pun Recognition.

[BibT_eX]

[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Gender Bias in Multilingual Embeddings and Cross-Lingual Transfer.

[BibT_eX]

[DOI]

Ahmed Hassan Awadallah

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

SentiBERT: A Transferable Transformer-Based Architecture for Compositional Sentiment Semantics.

[BibT_eX]

[DOI]

Tao Meng

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

On the Robustness of Language Encoders against Grammatical Errors.

[BibT_eX]

[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

What Does BERT with Vision Look At?

[BibT_eX]

[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Mitigating Gender Bias Amplification in Distribution by Posterior Regularization.

[BibT_eX]

[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Towards Understanding Gender Bias in Relation Extraction.

[BibT_eX]

[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

A Transformer-based Approach for Source Code Summarization.

[BibT_eX]

[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Learning Directional Sentence-Pair Embedding for Natural Language Reasoning (Student Abstract).

[BibT_eX]

[DOI]

Yuchen Jiang

Zhenxin Xiao

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Efficient Contextual Representation Learning With Continuous Outputs.

[BibT_eX]

[DOI]

Trans. Assoc. Comput. Linguistics, 2019

Word and Sentence Embedding Tools to Measure Semantic Similarity of Gene Ontology Terms by Their Definitions.

[BibT_eX]

[DOI]

J. Comput. Biol., 2019

VisualBERT: A Simple and Performant Baseline for Vision and Language.

[BibT_eX]

[DOI]

CoRR, 2019

Pre-Training Graph Neural Networks for Generic Structural Feature Extraction.

[BibT_eX]

[DOI]

CoRR, 2019

Efficient Contextual Representation Learning Without Softmax Layer.

[BibT_eX]

[DOI]

CoRR, 2019

Multifaceted protein-protein interaction prediction based on Siamese residual RCNN.

[BibT_eX]

[DOI]

Bioinform., 2019

Context Attentive Document Ranking and Query Suggestion.

[BibT_eX]

[DOI]

Hongning Wang

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Learning Bilingual Word Embeddings Using Lexical Definitions.

[BibT_eX]

[DOI]

Proceedings of the 4th Workshop on Representation Learning for NLP, 2019

Gender Bias in Contextualized Word Embeddings.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

On Difficulties of Cross-Lingual Transfer with Order Differences: A Case Study on Dependency Parsing.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Computational Analysis of French Reborrowing Process for English Loanwords.

[BibT_eX]

[DOI]

Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Examining Gender Bias in Languages with Grammatical Gender.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Learning to Discriminate Perturbations for Blocking Adversarial Attacks in Text Classification.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Visualizing Trends of Key Roles in News Articles.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Retrofitting Contextualized Word Embeddings with Paraphrases.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

The Woman Worked as a Babysitter: On Biases in Language Generation.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Robust Text Classifier on Test-Time Budgets.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Target Language-Aware Constrained Inference for Cross-lingual Dependency Parsing.

[BibT_eX]

[DOI]

Tao Meng

Nanyun Peng

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Bias and Fairness in Natural Language Processing.

[BibT_eX]

[DOI]

Vinod Prabhakaran

Vicente Ordonez

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Learning to Represent Bilingual Dictionaries.

[BibT_eX]

[DOI]

Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

Cross-Lingual Dependency Parsing with Unlabeled Auxiliary Languages.

[BibT_eX]

[DOI]

Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

Mitigating Gender Bias in Natural Language Processing: Literature Review.

[BibT_eX]

[DOI]

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Few-Shot Representation Learning for Out-Of-Vocabulary Words.

[BibT_eX]

[DOI]

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Analysis of the Sensing Properties of a Highly Stable and Reproducible Ozone Gas Sensor Based on Amorphous In-Ga-Zn-O Thin Film.

[BibT_eX]

[DOI]

Sensors, 2018

Adversarial Removal of Gender from Deep Image Representations.

[BibT_eX]

[DOI]

CoRR, 2018

Near or Far, Wide Range Zero-Shot Cross-Lingual Dependency Parsing.

[BibT_eX]

[DOI]

CoRR, 2018

Learning Robust, Transferable Sentence Representations for Text Classification.

[BibT_eX]

[DOI]

CoRR, 2018

Building a Robust Text Classifier on a Test-Time Budget.

[BibT_eX]

[DOI]

CoRR, 2018

LearningWord Embeddings for Low-resource Languages by PU Learning.

[BibT_eX]

[DOI]

CoRR, 2018

Multi-task Learning for Universal Sentence Representations: What Syntactic and Semantic Information is Captured?

[BibT_eX]

[DOI]

CoRR, 2018

A Cloud-based Protection approach against JavaScript-based attacks to browsers.

[BibT_eX]

[DOI]

Comput. Electr. Eng., 2018

Handover: A mechanism to improve the reliability and availability of network services for clients behind a network address translator.

[BibT_eX]

[DOI]

Comput. Electr. Eng., 2018

Intent-aware Query Obfuscation for Privacy Protection in Personalized Web Search.

[BibT_eX]

[DOI]

Hongning Wang

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods.

[BibT_eX]

[DOI]

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Learning Word Embeddings for Low-Resource Languages by PU Learning.

[BibT_eX]

[DOI]

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

A Corpus of Drug Usage Guidelines Annotated with Type of Advice.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

A Corpus to Learn Refer-to-as Relations for Nominals.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Co-training Embeddings of Knowledge Graphs and Entity Descriptions for Cross-lingual Entity Alignment.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Counterexamples for Robotic Planning Explained in Structured Language.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Multi-Task Learning for Document Ranking and Query Suggestion.

[BibT_eX]

[DOI]

Hongning Wang

Proceedings of the 6th International Conference on Learning Representations, 2018

Quantification and Analysis of Scientific Language Variation Across Research Fields.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

Learning Gender-Neutral Word Embeddings.

[BibT_eX]

[DOI]

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Generating Natural Language Adversarial Examples.

[BibT_eX]

[DOI]

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Building Language Models for Text with Named Entities.

[BibT_eX]

[DOI]

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Beyond Bilingual: Multi-sense Word Embeddings using Multilingual Context.

[BibT_eX]

[DOI]

Proceedings of the 2nd Workshop on Representation Learning for NLP, 2017

Counterfactual Language Model Adaptation for Suggesting Phrases.

[BibT_eX]

[DOI]

Kenneth C. Arnold

Adam Kalai

Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints.

[BibT_eX]

[DOI]

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Resource Constrained Structured Prediction.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Learning to Suggest Phrases.

[BibT_eX]

[DOI]

Kenneth Charles Arnold

Adam Tauman Kalai

Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Quantifying and Reducing Stereotypes in Word Embeddings.

[BibT_eX]

[DOI]

CoRR, 2016

Structured Prediction with Test-time Budget Constraints.

[BibT_eX]

[DOI]

CoRR, 2016

A Credit Assignment Compiler for Joint Prediction.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Learning from Explicit and Implicit Supervision Jointly For Algebra Word Problems.

[BibT_eX]

[DOI]

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

2015

Selective algorithms for large-scale classification and structured learning

[BibT_eX]

[DOI]

PhD thesis, 2015

Distributed Training of Structured SVM.

[BibT_eX]

[DOI]

CoRR, 2015

IllinoisSL: A JAVA Library for Structured Prediction.

[BibT_eX]

[DOI]

CoRR, 2015

Learning to Search for Dependencies.

[BibT_eX]

[DOI]

CoRR, 2015

Hands-on Learning to Search for Structured Prediction.

[BibT_eX]

[DOI]

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Learning to Search Better than Your Teacher.

[BibT_eX]

[DOI]

Proceedings of the 32nd International Conference on Machine Learning, 2015

Real-time data compression for thermal-controlled three-dimensional DRAM systems.

[BibT_eX]

[DOI]

Proceedings of the IEEE 4th Global Conference on Consumer Electronics, 2015

A Joint Framework for Coreference Resolution and Mention Head Detection.

[BibT_eX]

[DOI]

Haoruo Peng

Proceedings of the 19th Conference on Computational Natural Language Learning, 2015

Structural Learning with Amortized Inference.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

A Discriminative Latent Variable Model for Online Clustering.

[BibT_eX]

[DOI]

Rajhans Samdani

Proceedings of the 31th International Conference on Machine Learning, 2014

Typed Tensor Decomposition of Knowledge Bases for Relation Extraction.

[BibT_eX]

[DOI]

Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

The Illinois-Columbia System in the CoNLL-2014 Shared Task.

[BibT_eX]

[DOI]

Proceedings of the Eighteenth Conference on Computational Natural Language Learning: Shared Task, 2014

2013

Illinois Cognitive Computation Group UI-CCG TAC 2013 Entity Linking and Slot Filler Validation Systems.

[BibT_eX]

[DOI]

Proceedings of the Sixth Text Analysis Conference, 2013

Multi-core Structural SVM Training.

[BibT_eX]

[DOI]

Vivek Srikumar

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Tractable Semi-supervised Learning of Complex Structured Prediction Models.

[BibT_eX]

[DOI]

S. Sundararajan

S. Sathiya Keerthi

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Multi-Relational Latent Semantic Analysis.

[BibT_eX]

[DOI]

Wen-tau Yih

Christopher Meek

Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

A Constrained Latent Variable Model for Coreference Resolution.

[BibT_eX]

[DOI]

Rajhans Samdani

Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

The University of Illinois System in the CoNLL-2013 Shared Task.

[BibT_eX]

[DOI]

Proceedings of the Seventeenth Conference on Computational Natural Language Learning: Shared Task, 2013

2012

Large Linear Classification When Data Cannot Fit in Memory.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2012

Efficient Pattern-Based Time Series Classification on GPU.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Illinois-Coref: The UI System in the CoNLL-2012 Shared Task.

[BibT_eX]

[DOI]

Proceedings of the Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

2011

iScreen: world's first cloud-computing web server for virtual screening and de novo drug design based on TCM database@Taiwan.

[BibT_eX]

[DOI]

Tsung-Ying Tsai

Calvin Yu-Chian Chen

J. Comput. Aided Mol. Des., 2011

Selective block minimization for faster convergence of limited memory large-scale linear models.

[BibT_eX]

[DOI]

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Inference Protocols for Coreference Resolution.

[BibT_eX]

[DOI]

Proceedings of the Fifteenth Conference on Computational Natural Language Learning: Shared Task, 2011

2010

A Comparison of Optimization Methods and Software for Large-scale L1-regularized Linear Classification.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2010

Iterative Scaling and Coordinate Descent Methods for Maximum Entropy Models

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2010

Training and Testing Low-degree Polynomial Data Mappings via Linear SVM.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2010

2009

An Ensemble of Three Classifiers for KDD Cup 2009: Expanded Linear Model, Heterogeneous Boosting, and Selective Naive Bayes.

[BibT_eX]

[DOI]

Proceedings of KDD-Cup 2009 competition, Paris, France, June 28, 2009, 2009

Iterative Scaling and Coordinate Descent Methods for Maximum Entropy.

[BibT_eX]

[DOI]

Proceedings of the ACL 2009, 2009

2008

LIBLINEAR: A Library for Large Linear Classification.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2008

Coordinate Descent Method for Large-scale L2-loss Linear Support Vector Machines.

[BibT_eX]

[DOI]