Nanyun Peng
Orcid: 0000-0002-8509-6595Affiliations:
- University of Southern California, Los Angeles, CA, USA
According to our database1,
Nanyun Peng
authored at least 232 papers
between 2012 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
CoRR, 2024
Think Carefully and Check Again! Meta-Generation Unlocking LLMs for Low-Resource Cross-Lingual Summarization.
CoRR, 2024
CoRR, 2024
CoRR, 2024
Unlocking Exocentric Video-Language Data for Egocentric Video Representation Learning.
CoRR, 2024
REAL Sampling: Boosting Factuality and Diversity of Open-Ended Generation via Asymptotic Entropy.
CoRR, 2024
FlexEControl: Flexible and Efficient Multimodal Control for Text-to-Image Generation.
CoRR, 2024
GenEARL: A Training-Free Generative Framework for Multimodal Event Argument Role Labeling.
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
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
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
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
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
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 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
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
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
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
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
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
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
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
Proceedings of the Findings of the Association for Computational Linguistics, 2024
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
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.
Trans. Mach. Learn. Res., 2023
AMRFact: Enhancing Summarization Factuality Evaluation with AMR-driven Training Data Generation.
CoRR, 2023
CoRR, 2023
RLCD: Reinforcement Learning from Contrast Distillation for Language Model Alignment.
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
CoRR, 2023
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
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
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
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
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
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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
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
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
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
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 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
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
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
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
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
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 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 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: AACL-IJCNLP 2022, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 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 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
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 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
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
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
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
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
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: 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
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 on Empirical Methods in Natural Language Processing, 2021
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 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
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
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
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
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 Ninth International Workshop on Natural Language Processing for Social Media, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
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
Efficient End-to-end Learning of Cross-event Dependencies for Document-level Event Extraction.
CoRR, 2020
CoRR, 2020
Connecting the Dots: A Knowledgeable Path Generator for Commonsense Question Answering.
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
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
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
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
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
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
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
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
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
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
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
Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019
Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
CoRR, 2018
Multi-task Learning for Universal Sentence Representations: What Syntactic and Semantic Information is Captured?
CoRR, 2018
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Trans. Assoc. Comput. Linguistics, 2017
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
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
Trans. Assoc. Comput. Linguistics, 2015
Proceedings of the 2015 Text Analysis Conference, 2015
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
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015
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
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014
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