Nanyun Peng

Orcid: 0000-0002-8509-6595

According to our database1, Nanyun Peng authored at least 229 papers between 2012 and 2024.

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Bibliography

2024
MRAG-Bench: Vision-Centric Evaluation for Retrieval-Augmented Multimodal Models.
CoRR, 2024

LLM Self-Correction with DeCRIM: Decompose, Critique, and Refine for Enhanced Following of Instructions with Multiple Constraints.
CoRR, 2024

Con-ReCall: Detecting Pre-training Data in LLMs via Contrastive Decoding.
CoRR, 2024

REFFLY: Melody-Constrained Lyrics Editing Model.
CoRR, 2024

ARMADA: Attribute-Based Multimodal Data Augmentation.
CoRR, 2024

Unlocking Exocentric Video-Language Data for Egocentric Video Representation Learning.
CoRR, 2024

LLM-A*: Large Language Model Enhanced Incremental Heuristic Search on Path Planning.
CoRR, 2024

Evaluating Human Alignment and Model Faithfulness of LLM Rationale.
CoRR, 2024

Adaptable Logical Control for Large Language Models.
CoRR, 2024

Synchronous Faithfulness Monitoring for Trustworthy Retrieval-Augmented Generation.
CoRR, 2024

Measuring Psychological Depth in Language Models.
CoRR, 2024

REAL Sampling: Boosting Factuality and Diversity of Open-Ended Generation via Asymptotic Entropy.
CoRR, 2024

Reflection-Reinforced Self-Training for Language Agents.
CoRR, 2024

Matryoshka Query Transformer for Large Vision-Language Models.
CoRR, 2024

FlexEControl: Flexible and Efficient Multimodal Control for Text-to-Image Generation.
CoRR, 2024

Weak-to-Strong Extrapolation Expedites Alignment.
CoRR, 2024

GenEARL: A Training-Free Generative Framework for Multimodal Event Argument Role Labeling.
CoRR, 2024

PhonologyBench: Evaluating Phonological Skills of Large Language Models.
CoRR, 2024

Comparing Bad Apples to Good Oranges: Aligning Large Language Models via Joint Preference Optimization.
CoRR, 2024

DACO: Towards Application-Driven and Comprehensive Data Analysis via Code Generation.
CoRR, 2024

Prompt-Driven LLM Safeguarding via Directed Representation Optimization.
CoRR, 2024

DeepEdit: Knowledge Editing as Decoding with Constraints.
CoRR, 2024

Model Editing Can Hurt General Abilities of Large Language Models.
CoRR, 2024

MacGyver: Are Large Language Models Creative Problem Solvers?
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

AMRFact: Enhancing Summarization Factuality Evaluation with AMR-Driven Negative Samples Generation.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Event Detection from Social Media for Epidemic Prediction.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Contextual Label Projection for Cross-Lingual Structured Prediction.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Mitigating Bias for Question Answering Models by Tracking Bias Influence.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Human-in-the-Loop Synthetic Text Data Inspection with Provenance Tracking.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

MIRACLE: An Online, Explainable Multimodal Interactive Concept Learning System.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

New Job, New Gender? Measuring the Social Bias in Image Generation Models.
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.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

ConTextual: Evaluating Context-Sensitive Text-Rich Visual Reasoning in Large Multimodal Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Open-Domain Text Evaluation via Contrastive Distribution Methods.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

DiNADO: Norm-Disentangled Neurally-Decomposed Oracles for Controlling Language Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

RLCD: Reinforcement Learning from Contrastive Distillation for LM Alignment.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Synchronous Faithfulness Monitoring for Trustworthy Retrieval-Augmented Generation.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Detecting Machine-Generated Long-Form Content with Latent-Space Variables.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Are Large Language Models Capable of Generating Human-Level Narratives?
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

QUDSELECT: Selective Decoding for Questions Under Discussion Parsing.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Explaining Mixtures of Sources in News Articles.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Do LLMs Plan Like Human Writers? Comparing Journalist Coverage of Press Releases with LLMs.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

SPEED++: A Multilingual Event Extraction Framework for Epidemic Prediction and Preparedness.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

LLM-A*: Large Language Model Enhanced Incremental Heuristic Search on Path Planning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Uncertainty Calibration for Tool-Using Language Agents.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Control Large Language Models via Divide and Conquer.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Measuring Psychological Depth in Language Models.
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.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

LLM Self-Correction with DeCRIM: Decompose, Critique, and Refine for Enhanced Following of Instructions with Multiple Constraints.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Re-ReST: Reflection-Reinforced Self-Training for Language Agents.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Explaining and Improving Contrastive Decoding by Extrapolating the Probabilities of a Huge and Hypothetical LM.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

VDebugger: Harnessing Execution Feedback for Debugging Visual Programs.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Medical Vision-Language Pre-Training for Brain Abnormalities.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

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

VALOR-EVAL: Holistic Coverage and Faithfulness Evaluation of Large Vision-Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

TextEE: Benchmark, Reevaluation, Reflections, and Future Challenges in Event Extraction.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Argument-Aware Approach To Event Linking.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

CaLM: Contrasting Large and Small Language Models to Verify Grounded Generation.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Improving Event Definition Following For Zero-Shot Event Detection.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

STAR: Boosting Low-Resource Information Extraction by Structure-to-Text Data Generation with Large Language Models.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

MIDDAG: Where Does Our News Go? Investigating Information Diffusion via Community-Level Information Pathways.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.
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Trans. Mach. Learn. Res., 2023

A Reevaluation of Event Extraction: Past, Present, and Future Challenges.
CoRR, 2023

AMRFact: Enhancing Summarization Factuality Evaluation with AMR-driven Training Data Generation.
CoRR, 2023

BOOST: Harnessing Black-Box Control to Boost Commonsense in LMs' Generation.
CoRR, 2023

Contextual Label Projection for Cross-Lingual Structure Extraction.
CoRR, 2023

RLCD: Reinforcement Learning from Contrast Distillation for Language Model Alignment.
CoRR, 2023

Next Steps for Human-Centered Generative AI: A Technical Perspective.
CoRR, 2023

Open-Domain Text Evaluation via Meta Distribution Modeling.
CoRR, 2023

On Compositionality and Improved Training of NADO.
CoRR, 2023

Unsupervised Melody-to-Lyric Generation.
CoRR, 2023

Are Fairy Tales Fair? Analyzing Gender Bias in Temporal Narrative Event Chains of Children's Fairy Tales.
CoRR, 2023

STAR: Boosting Low-Resource Event Extraction by Structure-to-Text Data Generation with Large Language Models.
CoRR, 2023

Gender Biases in Automatic Evaluation Metrics: A Case Study on Image Captioning.
CoRR, 2023

Unsupervised Melody-Guided Lyrics Generation.
CoRR, 2023

Detecting Social Media Manipulation in Low-Resource Languages.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Investigating the Representation of Open Domain Dialogue Context for Transformer Models.
Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue, 2023

MERCY: Multiple Response Ranking Concurrently in Realistic Open-Domain Conversational Systems.
Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue, 2023

DesCo: Learning Object Recognition with Rich Language Descriptions.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

The Second Workshop on Knowledge-Augmented Methods for Natural Language Processing.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Parameter-Efficient Low-Resource Dialogue State Tracking by Prompt Tuning.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Tractable Control for Autoregressive Language Generation.
Proceedings of the International Conference on Machine Learning, 2023

Localizing Active Objects from Egocentric Vision with Symbolic World Knowledge.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

ACQUIRED: A Dataset for Answering Counterfactual Questions In Real-Life Videos.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Are Personalized Stochastic Parrots More Dangerous? Evaluating Persona Biases in Dialogue Systems.
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.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Harnessing Black-Box Control to Boost Commonsense in LM's Generation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Evaluating Large Language Models on Controlled Generation Tasks.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Identifying Informational Sources in News Articles.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Gender Biases in Automatic Evaluation Metrics for Image Captioning.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Masked Path Modeling for Vision-and-Language Navigation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Generalized Decoding for Pixel, Image, and Language.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

DOC: Improving Long Story Coherence With Detailed Outline Control.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Learning Action Conditions from Instructional Manuals for Instruction Understanding.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

SIMMC-VR: A Task-oriented Multimodal Dialog Dataset with Situated and Immersive VR Streams.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Unsupervised Melody-to-Lyrics Generation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

GENEVA: Benchmarking Generalizability for Event Argument Extraction with Hundreds of Event Types and Argument Roles.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

DICE: Data-Efficient Clinical Event Extraction with Generative Models.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Do Models Really Learn to Follow Instructions? An Empirical Study of Instruction Tuning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

Are Fairy Tales Fair? Analyzing Gender Bias in Temporal Narrative Event Chains of Children's Fairy Tales.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

AMPERE: AMR-Aware Prefix for Generation-Based Event Argument Extraction Model.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Code-Switched Text Synthesis in Unseen Language Pairs.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

TAGPRIME: A Unified Framework for Relational Structure Extraction.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

ACCENT: An Automatic Event Commonsense Evaluation Metric for Open-Domain Dialogue Systems.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
A Moral- and Event- Centric Inspection of Gender Bias in Fairy Tales at A Large Scale.
CoRR, 2022

NECE: Narrative Event Chain Extraction Toolkit.
CoRR, 2022

NewsEdits: A News Article Revision Dataset and a Document-Level Reasoning Challenge.
CoRR, 2022

A Simple and Unified Tagging Model with Priming for Relational Structure Predictions.
CoRR, 2022

GENEVA: Pushing the Limit of Generalizability for Event Argument Extraction with 100+ Event Types.
CoRR, 2022

Controllable Text Generation with Neurally-Decomposed Oracle.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

InsNet: An Efficient, Flexible, and Performant Insertion-based Text Generation Model.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Coarse-to-Fine Vision-Language Pre-training with Fusion in the Backbone.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Zero-shot Sonnet Generation with Discourse-level Planning and Aesthetics Features.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

NewsEdits: A News Article Revision Dataset and a Novel Document-Level Reasoning Challenge.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

AmbiPun: Generating Humorous Puns with Ambiguous Context.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Socially Aware Bias Measurements for Hindi Language Representations.
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.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Go Back in Time: Generating Flashbacks in Stories with Event Temporal Prompts.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

FOAM: A Follower-aware Speaker Model For Vision-and-Language Navigation.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

On Measures of Biases and Harms in NLP.
Proceedings of the Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022, 2022

Re3: Generating Longer Stories With Recursive Reprompting and Revision.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

EnDex: Evaluation of Dialogue Engagingness at Scale.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

A Unified Framework for Pun Generation with Humor Principles.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Context-Situated Pun Generation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

ExPUNations: Augmenting Puns with Keywords and Explanations.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Sequentially Controlled Text Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Character-centric Story Visualization via Visual Planning and Token Alignment.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Towards Robust NLG Bias Evaluation with Syntactically-diverse Prompts.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

An Empirical Study of Training End-to-End Vision-and-Language Transformers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Paraphrase Generation as Unsupervised Machine Translation.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Fantastic Questions and Where to Find Them: FairytaleQA - An Authentic Dataset for Narrative Comprehension.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Understanding Multimodal Procedural Knowledge by Sequencing Multimodal Instructional Manuals.
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.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Sibylvariant Transformations for Robust Text Classification.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

DEAM: Dialogue Coherence Evaluation using AMR-based Semantic Manipulations.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

On the Safety of Conversational Models: Taxonomy, Dataset, and Benchmark.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Zero-Shot Commonsense Question Answering with Cloze Translation and Consistency Optimization.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Understanding Procedural Knowledge by Sequencing Multimodal Instructional Manuals.
CoRR, 2021

Event Extraction as Natural Language Generation.
CoRR, 2021

What do Bias Measures Measure?
CoRR, 2021

"Don't quote me on that": Finding Mixtures of Sources in News Articles.
CoRR, 2021

Modeling "Newsworthiness" for Lead-Generation Across Corpora.
CoRR, 2021

Revealing Persona Biases in Dialogue Systems.
CoRR, 2021

ESTER: A Machine Reading Comprehension Dataset for Event Semantic Relation Reasoning.
CoRR, 2021

On Efficient Training, Controllability and Compositional Generalization of Insertion-based Language Generators.
CoRR, 2021

MrGCN: Mirror Graph Convolution Network for Relation Extraction with Long-Term Dependencies.
CoRR, 2021

"Nice Try, Kiddo": Investigating Ad Hominems in Dialogue Responses.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

EventPlus: A Temporal Event Understanding Pipeline.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Demonstrations, 2021

Plot-guided Adversarial Example Construction for Evaluating Open-domain Story Generation.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

DiSCoL: Toward Engaging Dialogue Systems through Conversational Line Guided Response Generation.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Demonstrations, 2021

MERMAID: Metaphor Generation with Symbolism and Discriminative Decoding.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Broaden the Vision: Geo-Diverse Visual Commonsense Reasoning.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

HypoGen: Hyperbole Generation with Commonsense and Counterfactual Knowledge.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

AESOP: Paraphrase Generation with Adaptive Syntactic Control.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

HyperExpan: Taxonomy Expansion with Hyperbolic Representation Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Document-level Entity-based Extraction as Template Generation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Improving Zero-Shot Cross-Lingual Transfer Learning via Robust Training.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

ESTER: A Machine Reading Comprehension Dataset for Reasoning about Event Semantic Relations.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

ECONET: Effective Continual Pretraining of Language Models for Event Temporal Reasoning.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Improving Pre-trained Vision-and-Language Embeddings for Phrase Grounding.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Scientific Discourse Tagging for Evidence Extraction.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Men Are Elected, Women Are Married: Events Gender Bias on Wikipedia.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Metaphor Generation with Conceptual Mappings.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

COM2SENSE: A Commonsense Reasoning Benchmark with Complementary Sentences.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Societal Biases in Language Generation: Progress and Challenges.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Identifying Distributional Perspectives from Colingual Groups.
Proceedings of the Ninth International Workshop on Natural Language Processing for Social Media, 2021

MELINDA: A Multimodal Dataset for Biomedical Experiment Method Classification.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

A Paragraph-level Multi-task Learning Model for Scientific Fact-Verification.
Proceedings of the Workshop on Scientific Document Understanding co-located with 35th AAAI Conference on Artificial Inteligence, 2021

GATE: Graph Attention Transformer Encoder for Cross-lingual Relation and Event Extraction.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
DEER: A Data Efficient Language Model for Event Temporal Reasoning.
CoRR, 2020

"Nice Try, Kiddo": Ad Hominems in Dialogue Systems.
CoRR, 2020

Efficient End-to-end Learning of Cross-event Dependencies for Document-level Event Extraction.
CoRR, 2020

Generating similes like a Pro: A Style Transfer Approach for Simile Generation.
CoRR, 2020

Connecting the Dots: A Knowledgeable Path Generator for Commonsense Question Answering.
CoRR, 2020

Identifying Cultural Differences through Multi-Lingual Wikipedia.
CoRR, 2020

Man is to Person as Woman is to Location: Measuring Gender Bias in Named Entity Recognition.
Proceedings of the HT '20: 31st ACM Conference on Hypertext and Social Media, 2020

Connecting the Dots: A Knowledgeable Path Generator for Commonsense Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Towards Controllable Biases in Language Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Biomedical Event Extraction on Graph Edge-conditioned Attention Networks with Hierarchical Knowledge Graphs.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Domain Knowledge Empowered Structured Neural Net for End-to-End Event Temporal Relation Extraction.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Content Planning for Neural Story Generation with Aristotelian Rescoring.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Generating similes effortlessly like a Pro: A Style Transfer Approach for Simile Generation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

STORIUM: A Dataset and Evaluation Platform for Machine-in-the-Loop Story Generation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

R^3: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Predictive Engagement: An Efficient Metric for Automatic Evaluation of Open-Domain Dialogue Systems.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Discourse Tagging for Scientific Evidence Extraction.
CoRR, 2019

Contextualized Word Embeddings Enhanced Event Temporal Relation Extraction for Story Understanding.
CoRR, 2019

Better Automatic Evaluation of Open-Domain Dialogue Systems with Contextualized Embeddings.
CoRR, 2019

Building deep learning models for evidence classification from the open access biomedical literature.
Database J. Biol. Databases Curation, 2019

Evaluating and Enhancing the Robustness of Retrieval-Based Dialogue Systems with Adversarial Examples.
Proceedings of the Natural Language Processing and Chinese Computing, 2019

Pun Generation with Surprise.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Plan, Write, and Revise: an Interactive System for Open-Domain Story Generation.
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.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

The Woman Worked as a Babysitter: On Biases in Language Generation.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Do Nuclear Submarines Have Nuclear Captains? A Challenge Dataset for Commonsense Reasoning over Adjectives and Objects.
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.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

What Matters for Neural Cross-Lingual Named Entity Recognition: An Empirical Analysis.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Joint Event and Temporal Relation Extraction with Shared Representations and Structured Prediction.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Learning a Unified Named Entity Tagger from Multiple Partially Annotated Corpora for Efficient Adaptation.
Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

Deep Structured Neural Network for Event Temporal Relation Extraction.
Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

Cross-Lingual Dependency Parsing with Unlabeled Auxiliary Languages.
Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

Debiasing community detection: the importance of lowly connected nodes.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

Espresso: A Fast End-to-End Neural Speech Recognition Toolkit.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019

Plan-and-Write: Towards Better Automatic Storytelling.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Near or Far, Wide Range Zero-Shot Cross-Lingual Dependency Parsing.
CoRR, 2018

Learning Robust, Transferable Sentence Representations for Text Classification.
CoRR, 2018

Multi-task Learning for Universal Sentence Representations: What Syntactic and Semantic Information is Captured?
CoRR, 2018

Scalable Construction and Reasoning of Massive Knowledge Bases.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics, 2018

Learning to Converse with Noisy Data: Generation with Calibration.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Stack-Pointer Networks for Dependency Parsing.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Style Transfer in Text: Exploration and Evaluation.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Cross-Sentence N-ary Relation Extraction with Graph LSTMs.
Trans. Assoc. Comput. Linguistics, 2017

Multi-task Domain Adaptation for Sequence Tagging.
Proceedings of the 2nd Workshop on Representation Learning for NLP, 2017

A Multi-task Learning Approach to Adapting Bilingual Word Embeddings for Cross-lingual Named Entity Recognition.
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

2016
Multi-task Multi-domain Representation Learning for Sequence Tagging.
CoRR, 2016

Learning Word Segmentation Representations to Improve Named Entity Recognition for Chinese Social Media.
CoRR, 2016

Improving Named Entity Recognition for Chinese Social Media with Word Segmentation Representation Learning.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
Modeling Word Forms Using Latent Underlying Morphs and Phonology.
Trans. Assoc. Comput. Linguistics, 2015

HLTCOE Participation in TAC KBP 2015: Cold Start and TEDL.
Proceedings of the 2015 Text Analysis Conference, 2015

A Concrete Chinese NLP Pipeline.
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

Named Entity Recognition for Chinese Social Media with Jointly Trained Embeddings.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Dual Decomposition Inference for Graphical Models over Strings.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

An Empirical Study of Chinese Name Matching and Applications.
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
Learning Polylingual Topic Models from Code-Switched Social Media Documents.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

Stochastic Contextual Edit Distance and Probabilistic FSTs.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2012
Online Plagiarized Detection Through Exploiting Lexical, Syntax, and Semantic Information.
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, 2012

Exploiting Latent Information to Predict Diffusions of Novel Topics on Social Networks.
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012


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