William Yang Wang
Orcid: 0000-0002-0878-1257Affiliations:
- University of California, Santa Barbara, USA
- Carnegie Mellon University, Pittsburgh, USA (former)
According to our database1,
William Yang Wang
authored at least 343 papers
between 2010 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
-
on cs.ucsb.edu
-
on cs.cmu.edu
On csauthors.net:
Bibliography
2024
Automatically Correcting Large Language Models: <i>Surveying the Landscape of Diverse Automated Correction Strategies</i>.
Trans. Assoc. Comput. Linguistics, 2024
SWE-Search: Enhancing Software Agents with Monte Carlo Tree Search and Iterative Refinement.
CoRR, 2024
CoRR, 2024
Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved Sampling.
CoRR, 2024
CoRR, 2024
Understanding the Interplay between Parametric and Contextual Knowledge for Large Language Models.
CoRR, 2024
CoRR, 2024
T2V-Turbo-v2: Enhancing Video Generation Model Post-Training through Data, Reward, and Conditional Guidance Design.
CoRR, 2024
CoRR, 2024
Human Bias in the Face of AI: The Role of Human Judgement in AI Generated Text Evaluation.
CoRR, 2024
A Gradient Analysis Framework for Rewarding Good and Penalizing Bad Examples in Language Models.
CoRR, 2024
Generalization v.s. Memorization: Tracing Language Models' Capabilities Back to Pretraining Data.
CoRR, 2024
A Mathematical Framework, a Taxonomy of Modeling Paradigms, and a Suite of Learning Techniques for Neural-Symbolic Systems.
CoRR, 2024
DebUnc: Mitigating Hallucinations in Large Language Model Agent Communication with Uncertainty Estimations.
CoRR, 2024
CoRR, 2024
VSP: Assessing the dual challenges of perception and reasoning in spatial planning tasks for VLMs.
CoRR, 2024
CoRR, 2024
Global Human-guided Counterfactual Explanations for Molecular Properties via Reinforcement Learning.
CoRR, 2024
BPO: Supercharging Online Preference Learning by Adhering to the Proximity of Behavior LLM.
CoRR, 2024
CoRR, 2024
TC-Bench: Benchmarking Temporal Compositionality in Text-to-Video and Image-to-Video Generation.
CoRR, 2024
CoRR, 2024
Commonsense-T2I Challenge: Can Text-to-Image Generation Models Understand Commonsense?
CoRR, 2024
Unveiling the Impact of Coding Data Instruction Fine-Tuning on Large Language Models Reasoning.
CoRR, 2024
T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback.
CoRR, 2024
CoRR, 2024
A Survey on Large Language Models for Critical Societal Domains: Finance, Healthcare, and Law.
CoRR, 2024
Automatic Layout Planning for Visually-Rich Documents with Instruction-Following Models.
CoRR, 2024
Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Models.
CoRR, 2024
Who Evaluates the Evaluations? Objectively Scoring Text-to-Image Prompt Coherence Metrics with T2IScoreScore (TS2).
CoRR, 2024
Towards Safety and Helpfulness Balanced Responses via Controllable Large Language Models.
CoRR, 2024
Updating Language Models with Unstructured Facts: Towards Practical Knowledge Editing.
CoRR, 2024
Hire a Linguist!: Learning Endangered Languages with In-Context Linguistic Descriptions.
CoRR, 2024
Tweets to Citations: Unveiling the Impact of Social Media Influencers on AI Research Visibility.
CoRR, 2024
LLMRefine: Pinpointing and Refining Large Language Models via Fine-Grained Actionable Feedback.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024
Lost in Translation? Translation Errors and Challenges for Fair Assessment of Text-to-Image Models on Multilingual Concepts.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Short Papers, 2024
Global Human-guided Counterfactual Explanations for Molecular Properties via Reinforcement Learning.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Mastering Robot Manipulation with Multimodal Prompts through Pretraining and Multi-task Fine-tuning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Understanding Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Losing Visual Needles in Image Haystacks: Vision Language Models are Easily Distracted in Short and Long Contexts.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
RAG-QA Arena: Evaluating Domain Robustness for Long-form Retrieval Augmented Question Answering.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
MultiAgent Collaboration Attack: Investigating Adversarial Attacks in Large Language Model Collaborations via Debate.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
The Knowledge Alignment Problem: Bridging Human and External Knowledge for Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Hire a Linguist!: Learning Endangered Languages in LLMs with In-Context Linguistic Descriptions.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
VELMA: Verbalization Embodiment of LLM Agents for Vision and Language Navigation in Street View.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
EAI Endorsed Trans. e Learn., 2023
VIM: Probing Multimodal Large Language Models for Visual Embedded Instruction Following.
CoRR, 2023
Pinpoint, Not Criticize: Refining Large Language Models via Fine-Grained Actionable Feedback.
CoRR, 2023
CoRR, 2023
Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies.
CoRR, 2023
DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text.
CoRR, 2023
Let's Think Frame by Frame: Evaluating Video Chain of Thought with Video Infilling and Prediction.
CoRR, 2023
Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models.
CoRR, 2023
Mitigating Language Model Hallucination with Interactive Question-Knowledge Alignment.
CoRR, 2023
CoRR, 2023
Large Language Models Are Implicitly Topic Models: Explaining and Finding Good Demonstrations for In-Context Learning.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
LLMScore: Unveiling the Power of Large Language Models in Text-to-Image Synthesis Evaluation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Flexible Attention-Based Multi-Policy Fusion for Efficient Deep Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023
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
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Bases.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023
Collaborative Generative AI: Integrating GPT-k for Efficient Editing in Text-to-Image Generation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
INSTRUCTSCORE: Towards Explainable Text Generation Evaluation with Automatic Feedback.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
ASSERT: Automated Safety Scenario Red Teaming for Evaluating the Robustness of Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Let's Think Frame by Frame with VIP: A Video Infilling and Prediction Dataset for Evaluating Video Chain-of-Thought.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Empowering Psychotherapy with Large Language Models: Cognitive Distortion Detection through Diagnosis of Thought Prompting.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023
ImaginE: An Imagination-Based Automatic Evaluation Metric for Natural Language Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023
PECO: Examining Single Sentence Label Leakage in Natural Language Inference Datasets through Progressive Evaluation of Cluster Outliers.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023
Addressing Issues of Cross-Linguality in Open-Retrieval Question Answering Systems For Emergent Domains.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics. EACL 2023, 2023
Tell Me What Happened: Unifying Text-guided Video Completion via Multimodal Masked Video Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
An Empirical Study of End-to-End Video-Language Transformers with Masked Visual Modeling.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Beyond Accurate Answers: Evaluating Open-Domain Question Answering in Enterprise Search.
Proceedings of the 2023 Conference on Human Information Interaction and Retrieval, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
RobustQA: Benchmarking the Robustness of Domain Adaptation for Open-Domain Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Generate then Select: Open-ended Visual Question Answering Guided by World Knowledge.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Improving Cross-task Generalization of Unified Table-to-text Models with Compositional Task Configurations.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
An Exploration of Data Efficiency in Intra-Dataset Task Transfer for Dialog Understanding.
CoRR, 2022
Proceedings of the 16th International Workshop on Neural-Symbolic Learning and Reasoning as part of the 2nd International Joint Conference on Learning & Reasoning (IJCLR 2022), 2022
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022
Learning to Prioritize: Precision-Driven Sentence Filtering for Long Text Summarization.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022
Not All Errors are Equal: Learning Text Generation Metrics using Stratified Error Synthesis.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
ConvFinQA: Exploring the Chain of Numerical Reasoning in Conversational Finance Question Answering.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
M<sup>3</sup>L: Language-based Video Editing via Multi-Modal Multi-Level Transformers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022
HybriDialogue: An Information-Seeking Dialogue Dataset Grounded on Tabular and Textual Data.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022
Proceedings of the 4th Workshop on NLP for Conversational AI, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
IEEE Trans. Pattern Anal. Mach. Intell., 2021
Automatically Identifying Semantic Bias in Crowdsourced Natural Language Inference Datasets.
CoRR, 2021
CoRR, 2021
Off-policy Reinforcement Learning with Optimistic Exploration and Distribution Correction.
CoRR, 2021
CoRR, 2021
CoRR, 2021
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021
HULK: An Energy Efficiency Benchmark Platform for Responsible Natural Language Processing.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, 2021
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
2020
ACM Trans. Intell. Syst. Technol., 2020
CoRR, 2020
Evaluating the Role of Language Typology in Transformer-Based Multilingual Text Classification.
CoRR, 2020
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020
Proceedings of The 12th Language Resources and Evaluation Conference, 2020
Proceedings of The 12th Language Resources and Evaluation Conference, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Towards Understanding Sample Variance in Visually Grounded Language Generation: Evaluations and Observations.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Learning to Stop: A Simple yet Effective Approach to Urban Vision-Language Navigation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Investigating African-American Vernacular English in Transformer-Based Text Generation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
SSCR: Iterative Language-Based Image Editing via Self-Supervised Counterfactual Reasoning.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Proceedings of the Conference on Automated Knowledge Base Construction, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
CoRR, 2019
CoRR, 2019
CoRR, 2019
Proceedings of the Visually Grounded Interaction and Language (ViGIL), 2019
Proceedings of the Visually Grounded Interaction and Language (ViGIL), 2019
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019
Extract and Edit: An Alternative to Back-Translation for Unsupervised Neural Machine Translation.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019
Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019
How Large a Vocabulary Does Text Classification Need? A Variational Approach to Vocabulary Selection.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019
VaTeX: A Large-Scale, High-Quality Multilingual Dataset for Video-and-Language Research.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
Learning to Learn and Predict: A Meta-Learning Approach for Multi-Label Classification.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Deep Reinforcement Learning with Distributional Semantic Rewards for Abstractive Summarization.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
What Should I Ask? Using Conversationally Informative Rewards for Goal-oriented Visual Dialog.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Proceedings of the 2nd Workshop on Machine Reading for Question Answering, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
CoRR, 2018
Implicit Regularization of Stochastic Gradient Descent in Natural Language Processing: Observations and Implications.
CoRR, 2018
MOHONE: Modeling Higher Order Network Effects in KnowledgeGraphs via Network Infused Embeddings.
CoRR, 2018
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018
Watch, Listen, and Describe: Globally and Locally Aligned Cross-Modal Attentions for Video Captioning.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics, 2018
Leveraging Intra-User and Inter-User Representation Learning for Automated Hate Speech Detection.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018
Scheduled Policy Optimization for Natural Language Communication with Intelligent Agents.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the Twelfth International Conference on Web and Social Media, 2018
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Look Before You Leap: Bridging Model-Free and Model-Based Reinforcement Learning for Planned-Ahead Vision-and-Language Navigation.
Proceedings of the Computer Vision - ECCV 2018, 2018
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
Proceedings of the 27th International Conference on Computational Linguistics, 2018
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
Proceedings of ACL 2018, Melbourne, Australia, July 15-20, 2018, Tutorial Abstracts, 2018
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
2017
TFW, DamnGina, Juvie, and Hotsie-Totsie: On the Linguistic and Social Aspects of Internet Slang.
CoRR, 2017
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017
2016
A Low-Rank Approximation Approach to Learning Joint Embeddings of News Stories and Images for Timeline Summarization.
Proceedings of the NAACL HLT 2016, 2016
Proceedings of the Tutorial Abstracts, 2016
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
2015
Efficient inference and learning in a large knowledge base - Reasoning with extracted information using a locally groundable first-order probabilistic logic.
Mach. Learn., 2015
I Can Has Cheezburger? A Nonparanormal Approach to Combining Textual and Visual Information for Predicting and Generating Popular Meme Descriptions.
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
Jointly Modeling Inter-Slot Relations by Random Walk on Knowledge Graphs for Unsupervised Spoken Language Understanding.
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 semantic hierarchy with distributed representations for unsupervised spoken language understanding.
Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
That's So Annoying!!!: A Lexical and Frame-Semantic Embedding Based Data Augmentation Approach to Automatic Categorization of Annoying Behaviors using #petpeeve Tweets.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015
Joint Information Extraction and Reasoning: A Scalable Statistical Relational Learning Approach.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015
Matrix Factorization with Knowledge Graph Propagation for Unsupervised Spoken Language Understanding.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015
2014
Efficient Inference and Learning in a Large Knowledge Base: Reasoning with Extracted Information using a Locally Groundable First-Order Probabilistic Logic.
CoRR, 2014
Leveraging frame semantics and distributional semantics for unsupervised semantic slot induction in spoken dialogue systems.
Proceedings of the 2014 IEEE Spoken Language Technology Workshop, 2014
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014
A Semiparametric Gaussian Copula Regression Model for Predicting Financial Risks from Earnings Calls.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014
ProPPR: Efficient First-Order Probabilistic Logic Programming for Structure Discovery, Parameter Learning, and Scalable Inference.
Proceedings of the Statistical Relational Artificial Intelligence, 2014
2013
Automatic detection of speaker state: Lexical, prosodic, and phonetic approaches to level-of-interest and intoxication classification.
Comput. Speech Lang., 2013
An empirical investigation of sparse log-linear models for improved dialogue act classification.
Proceedings of the IEEE International Conference on Acoustics, 2013
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013
This Text Has the Scent of Starbucks: A Laplacian Structured Sparsity Model for Computational Branding Analytics.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013
Programming with personalized pagerank: a locally groundable first-order probabilistic logic.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013
Unsupervised induction and filling of semantic slots for spoken dialogue systems using frame-semantic parsing.
Proceedings of the 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 2013
2012
Proceedings of the 2012 IEEE Spoken Language Technology Workshop (SLT), 2012
"Love ya, jerkface": Using Sparse Log-Linear Models to Build Positive and Impolite Relationships with Teens.
Proceedings of the SIGDIAL 2012 Conference, 2012
Historical Analysis of Legal Opinions with a Sparse Mixed-Effects Latent Variable Model.
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012
2011
Detecting Levels of Interest from Spoken Dialog with Multistream Prediction Feedback and Similarity Based Hierarchical Fusion Learning.
Proceedings of the SIGDIAL 2011 Conference, 2011
Proceedings of the 12th Annual Conference of the International Speech Communication Association, 2011
Proceedings of the Fifth International Joint Conference on Natural Language Processing, 2011
Proceedings of the Twenty-Fourth International Florida Artificial Intelligence Research Society Conference, 2011
Automatic detection of unnatural word-level segments in unit-selection speech synthesis.
Proceedings of the 2011 IEEE Workshop on Automatic Speech Recognition & Understanding, 2011
2010
"Got You!": Automatic Vandalism Detection in Wikipedia with Web-based Shallow Syntactic-Semantic Modeling.
Proceedings of the COLING 2010, 2010