Selected Recent Papers

• You can also find my full publication list and my Google Scholar.

• Open-Domain Text Evaluation via Contrastive Distribution Methods, Sidi Lu, Hongyi Liu, Asli Celikyilmaz, Tianlu Wang, and Nanyun Peng, in Proceedings of the Fortieth International Conference on Machine Learning (ICML), 2024. Details
• On Prompt-Driven Safeguarding for Large Language Models, Chujie Zheng, Fan Yin, Hao Zhou, Fandong Meng, Jie Zhou, Kai-Wei Chang, Minlie Huang, and Nanyun Peng, in Proceedings of the Fortieth International Conference on Machine Learning (ICML), 2024. Details
• DiNADO: Norm-Disentangled Neurally-Decomposed Oracles for Controlling Language Models, Sidi Lu, Wenbo Zhao, Chenyang Tao, Arpit Gupta, Shanchan Wu, Tagyoung Chung, and Nanyun Peng, in Proceedings of the Fortieth International Conference on Machine Learning (ICML), 2024. Details
• ConTextual: Evaluating Context-Sensitive Text-Rich Visual Reasoning in Large Multimodal Models, Rohan Wadhawan, Hritik Bansal, Kai-Wei Chang, and Nanyun Peng, in Proceedings of the Fortieth International Conference on Machine Learning (ICML), 2024. Details
• Improving Event Definition Following For Zero-Shot Event Detection, Zefan Cai, Po-Nien Kung, Ashima Suvarna, Mingyu Derek Ma, Hritik Bansal, Baobao Chang, P. Jeffrey Brantingham, Wei Wang, and Nanyun Peng, in Proceedings of The 62nd Annual Meeting of the Association for Computational Linguistics (ACL), 2024. Details
• Holistic Coverage and Faithfulness Evaluation of Large Vision-Language Models, Haoyi Qiu, Wenbo Hu, Zi-Yi Dou, and Nanyun Peng, in Findings of the Association for Computational Linguistics: ACL (ACL-findings), 2024. Details
• MacGyver: Are Large Language Models Creative Problem Solvers?, Yufei Tian, Abhilasha Ravichander, Lianhui Qin, Ronan Le Bras, Raja Marjieh, Nanyun Peng, Yejin Choi, Thomas L. Griffiths, and Faeze Brahman, in Proceedings of the 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2024. Details
• AMRFact: Enhancing Summarization Factuality Evaluation with AMR-Driven Negative Samples Generation, Haoyi Qiu, Kung-Hsiang Huang, Jingnong Qu, and Nanyun Peng, in Proceedings of the 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2024. Details
• Contextual Label Projection for Cross-Lingual Structured Prediction, Tanmay Parekh, I.-Hung Hsu, Kuan-Hao Huang, Kai-Wei Chang, and Nanyun Peng, in Proceedings of the 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2024. Details
• Event Detection from Social Media for Epidemic Prediction, Tanmay Parekh, Anh Mac, Jiarui Yu, Yuxuan Dong, Syed Shahriar, Bonnie Liu, Eric J. Yang, Kuan-Hao Huang, Wei Wang, Nanyun Peng, and Kai-Wei Chang, in Proceedings of the 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2024. Details
• RLCD: Reinforcement Learning from Contrast Distillation for Language Model Alignment, Kevin Yang, Dan Klein, Asli Celikyilmaz, Nanyun Peng, and Yuandong Tian, in Proceedings of the Twelfth International Conference on Learning Representations (ICLR), 2024. Details
• Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks, Po-Nien Kung, Fan Yin, Di Wu, Kai-Wei Chang, and Nanyun Peng, in The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023. Details
• Gender Biases in Automatic Evaluation Metrics for Image Captioning, Haoyi Qiu, Zi-Yi Dou, Tianlu Wang, Asli Celikyilmaz, and Nanyun Peng, in The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023. Details
• Evaluating Large Language Models on Controlled Generation Tasks, Jiao Sun, Yufei Tian, Wangchunshu Zhou, Nan Xu, Qian Hu, Rahul Gupta, John Frederick Wieting, Nanyun Peng, and Xuezhe Ma, in The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023. Details
• “Kelly is a Warm Person, Joseph is a Role Model”: Gender Biases in LLM-Generated Reference Letters, Yixin Wan, George Pu, Jiao Sun, Aparna Garimella, Kai-Wei Chang, and Nanyun Peng, in Findings of The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP-Findings), 2023. Details
• DesCo: Learning Object Recognition with Rich Language Descriptions, Liunian Harold Li*, Zi-Yi Dou*, Nanyun Peng, and Kai-Wei Chang, in The 2023 Conference on Neural Information Processing Systems (NeurIPS), 2023. Details
• AMPERE: AMR-Aware Prefix for Generation-Based Event Argument Extraction Model, I.-Hung Hsu*, Zhiyu Xie*, Kuan-Hao Huang, Premkumar Natarajan, and Nanyun Peng, in Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics (ACL), 2023. Details
• ACCENT: An Automatic Event Commonsense Evaluation Metric for Open-Domain Dialogue Systems, Sarik Ghazarian*, Yijia Shao*, Rujun Han, Aram Galstyan, and Nanyun Peng, in Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics (ACL), 2023. Details
• Learning Action Conditions from Instructional Manuals for Instruction Understanding, Te-Lin Wu, Caiqi Zhang, Qingyuan Hu, Alex Spangher, and Nanyun Peng, in Proceedings of the Conference of the 61st Annual Meeting of the Association for Computational Linguistics (ACL), 2023. Details
• Do Models Really Learn to Follow Instructions? An Empirical Study of Instruction Tuning, Po-Nien Kung and Nanyun Peng, in Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics (ACL), short, 2023. Details
• Unsupervised Melody-to-Lyric Generation, Yufei Tian, Anjali Narayan-Chen, Shereen Oraby, Alessandra Cervone, Gunnar Sigurdsson, Chenyang Tao, Wenbo Zhao, Tagyoung Chung, Jing Huang, and Nanyun Peng, in Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics (ACL), 2023. Details
• GENEVA: Benchmarking Generalizability for Event Argument Extraction with Hundreds of Event Types and Argument Roles, Tanmay Parekh, I.-Hung Hsu, Kuan-Hao Huang, Kai-Wei Chang, and Nanyun Peng, in Proceedings of the Conference of the 61st Annual Meeting of the Association for Computational Linguistics (ACL), 2023. Details
• DOC: Improving Long Story Coherence With Detailed Outline Control, Kevin Yang, Dan Klein, Nanyun Peng, and Yuandong Tian, in Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics (ACL), 2023. Details
• Tractable Control for Autoregressive Language Generation, Honghua Zhang, Meihua Dang, Nanyun Peng, and Guy Van den Broeck, in Proceedings of the Fortieth International Conference on Machine Learning (ICML), 2023. Details
• Generalized Decoding for Pixel, Image and Language, Xueyan Zou*, Zi-Yi Dou*, Jianwei Yang*, Zhe Gan, Linjie Li, Chunyuan Li, Xiyang Dai, Harkirat Behl, Jianfeng Wang, Lu Yuan, Nanyun Peng, Lijuan Wang, Yong Jae Lee, and Jianfeng Gao, in The Conference on Computer Vision and Pattern Recognition (CVPR-23), 2023. Details
• Character-Centric Story Visualization via Visual Planning and Token Alignment, Hong Chen, Rujun Han, Te-Lin Wu, Hideki Nakayama, and Nanyun Peng, in Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022. Details
• Context-Situated Pun Generation, Jiao Sun, Anjali Narayan-Chen, Shereen Oraby, Shuyang Gao, Tagyoung Chung, Jing Huang, Yang Liu, and Nanyun Peng, in Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022. Details
• Re3: Generating Longer Stories With Recursive Reprompting and Revision, Kevin Yang, Yuandong Tian, Nanyun Peng, and Dan Klein, in Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022. Details
• A Unified Framework for Pun Generation with Humor Principles, Yufei Tian, Divyanshu Arun Sheth, and Nanyun Peng, in Findings of the Association for Computational Linguistics: EMNLP (EMNLP-findings), 2022. Details
• InsNet: An Efficient, Flexible, and Performant Insertion-based Text Generation Model, Sidi Lu, Tao Meng, and Nanyun Peng, in Proceedings of the Thirty-Sixth Conference on Neural Information Processing Systems (NeurIPS), 2022. Details
• Controllable Text Generation with Neurally-Decomposed Oracle, Tao Meng, Sidi Lu, Nanyun Peng, and Kai-Wei Chang, in Proceedings of the Thirty-Sixth Conference on Neural Information Processing Systems (NeurIPS), 2022. Details
• Controllable Text Generation for Open-Domain Creativity and Fairness, Nanyun Peng, in Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (IJCAI-22), Early Career Track, 2022. Details
• NewsEdits: A News Article Revision Dataset and a Novel Document-Level Reasoning Challenge, Alexander Spangher, Xiang Ren, Jonathan May, and Nanyun Peng, in Proceedings of the 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2022. Details
• Zero-Shot Sonnet Generation with Discourse-Level Planning and Aesthetics Features, Yufei Tian and Nanyun Peng, in 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2022. Details
• Go Back in Time: Generating Flashbacks in Stories with Event Temporal Prompts, Rujun Han, Hong Chen, Yufei Tian, and Nanyun Peng, in 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2022. Details
• DEAM: Dialogue Coherence Evaluation using AMR-based Semantic Manipulations, Sarik Ghazarian, Nuan Wen, Aram Galstyan, and Nanyun Peng, in Proceedings of the Conference of the 60th Annual Meeting of the Association for Computational Linguistics (ACL), 2022. Details
• DEGREE: A Data-Efficient Generative Event Extraction Model, I.-Hung Hsu*, Kuan-Hao Huang*, Elizabeth Boschee, Scott Miller, Premkumar Natarajan, Kai-Wei Chang, and Nanyun Peng, in Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL), 2022. Details
• Understanding Multimodal Procedural Knowledge by Sequencing Multimodal Instructional Manuals, Te-Lin Wu, Alex Spangher, Pegah Alipoormolabashi, Marjorie Freedman, Ralph Weischedel, and Nanyun Peng, in Proceedings of the Conference of the 60th Annual Meeting of the Association for Computational Linguistics (ACL), 2022. Details
• Document-level Entity-based Extraction as Template Generation, Kung-Hsiang Huang, Sam Tang, and Nanyun Peng, in The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021. Details
• AESOP: Paraphrase Generation with Adaptive Syntactic Control, Jiao Sun, Xuezhe Ma, and Nanyun Peng, in The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021. Details
• ESTER: A Machine Reading Comprehension Dataset for Event Semantic Relation Reasoning, Rujun Han, I.-Hung Hsu, Jiao Sun, Julia Baylon, Qiang Ning, Dan Roth, and Nanyun Peng, in The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021. Details
• Improving Zero-Shot Cross-Lingual Transfer Learning via Robust Training, Kuan-Hao Huang, Wasi Uddin Ahmad, Nanyun Peng, and Kai-Wei Chang, in The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021. Details
• Men Are Elected, Women Are Married: Events Gender Bias on Wikipedia, Jiao Sun and Nanyun Peng, in Proceedings of the Conference of the 59th Annual Meeting of the Association for Computational Linguistics (ACL), 2021. Details
• Societal Biases in Language Generation: Progress and Challenges, Emily Sheng, Kai-Wei Chang, Premkumar Natarajan, and Nanyun Peng, in Proceedings of the Conference of the 59th Annual Meeting of the Association for Computational Linguistics (ACL), 2021. Details
• Metaphor Generation with Conceptual Mappings, Kevin Stowe, Tuhin Chakrabarty, Nanyun Peng, Smaranda Muresan, and Iryna Gurevych, in Proceedings of the Conference of the 59th Annual Meeting of the Association for Computational Linguistics (ACL), 2021. Details
• COM2SENSE: A Commonsense Reasoning Benchmark with Complementary Sentences, Shikhar Singh, Nuan Wen, Yu Hou, Pegah Alipoormolabashi, Te-lin Wu, Xuezhe Ma, and Nanyun Peng, in Proceedings of Findings of the Conference of the 59th Annual Meeting of the Association for Computational Linguistics (ACL-Findings), 2021. Details
• "Nice Try, Kiddo": Ad Hominems in Dialogue Systems, Emily Sheng, Kai-Wei Chang, Premkumar Natarajan, and Nanyun Peng, in The 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2021. Details
• Plot-guided Adversarial Example Construction for Evaluating Open-domain Story Generation, Sarik Ghazarian, Zixi Liu, Akash S. M, Ralph Weischedel, Aram Galstyan, and Nanyun Peng, in The 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2021. Details
• GATE: Graph Attention Transformer Encoder for Cross-lingual Relation and Event Extraction, Wasi Ahmad, Nanyun Peng, and Kai-Wei Chang, in The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21), 2021. Details
• Content Planning for Neural Story Generation with Aristotelian Rescoring, Seraphina Goldfarb-Tarrant, Tuhin Chakrabarty, Ralph Weischedel, and Nanyun Peng, in the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020. Details
• Generating similes effortlessly like a Pro: A Style Transfer Approach for Simile Generation, Tuhin Chakrabarty, Smaranda Muresan, and Nanyun Peng, in Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020. Details
• Domain Knowledge Empowered Structured Neural Net for End-to-End Event Temporal Relation Extraction, Rujun Han, Yichao Zhou, and Nanyun Peng, in the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020. Details
• Towards Controllable Biases in Language Generation, Emily Sheng, Kai-Wei Chang, Premkumar Natarajan, and Nanyun Peng, in the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)-Findings, long, 2020. Details
• Biomedical Event Extraction with Hierarchical Knowledge Graphs, Kung-Hsiang Huang, Mu Yang, and Nanyun Peng, in the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)-Findings, short, 2020. Details
• R³: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge, Tuhin Chakrabarty, Debanjan Ghosh, Smaranda Muresan, and Nanyun Peng, in the 2020 Annual Conference of the Association for Computational Linguistics (ACL), 2020. Details
• Predictive Engagement: An Efficient Metric For Automatic Evaluation of Open-Domain Dialogue Systems, Sarik Ghazarian, Ralph Weischedel, Aram Galstyan, and Nanyun Peng, in The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), 2020. Details
• Joint Event and Temporal Relation Extraction with Shared Representations and Structured Prediction, Rujun Han, Qiang Ning, and Nanyun Peng, in 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019. Details
• The Woman Worked as a Babysitter: On Biases in Language Generation, Emily Sheng, Kai-Wei Chang, Premkumar Natarajan, and Nanyun Peng, in 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP), short, 2019. Details
• Target Language-Aware Constrained Inference for Cross-lingual Dependency Parsing, Tao Meng, Nanyun Peng, and Kai-Wei Chang, in 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019. Details
• Pun Generation with Surprise, He He, Nanyun Peng, and Percy Liang, in 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT 2019), 2019. Details
• On difficulties of cross-lingual transfer with order differences: A case study on dependency parsing, Wasi Uddin Ahmad, Zhisong Zhang, Xuezhe Ma, Eduard Hovy, Kai-Wei Chang, and Nanyun Peng, in Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2019. Details
• Plan-And-Write: Towards Better Automatic Storytelling, Lili Yao, Nanyun Peng, Weischedel Ralph, Kevin Knight, Dongyan Zhao, and Rui Yan, in The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), 2019. Details
• Stack-pointer networks for dependency parsing, Xuezhe Ma, Zecong Hu, Jingzhou Liu, Nanyun Peng, Graham Neubig, and Eduard Hovy, in The 56th Annual Meeting of the Association for Computational Linguistics (ACL 2018), 2018. Details
• Style Transfer in Text: Exploration and Evaluation, Zhenxin Fu, Xiaoye Tan, Nanyun Peng, Dongyan Zhao, and Rui Yan, in Proceedings of The Thirty-Second Association for the Advancement of Artificial Intelligence Conference on Artificial Intelligence (AAAI), 2018. Details
• Cross-sentence N-ary Relation Extraction with Graph LSTMs, Nanyun Peng, Hoifung Poon, Chris Quirk, Kristina Toutanova, and Wen-tau Yih, Transactions of the Association of Computational Linguistics, 2017. Details
• Improving named entity recognition for chinese social media with word segmentation representation learning, Nanyun Peng and Mark Dredze, in Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016. Details
• Dual decomposition inference for graphical models over strings, Nanyun Peng, Ryan Cotterell, and Jason Eisner, in Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015. Details
• Named entity recognition for chinese social media with jointly trained embeddings, Nanyun Peng and Mark Dredze, in Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015. Details