image-title-here

Nanyun (Violet) Peng

  • Associate Professor @ UCLA CS
  • Visiting Academics @ Amazon AGI
  • violetpeng AT cs DOT ucla DOT edu
  • UCLA Eng VI Rm 397A
  • Natural Language Processing
    Machine Learning

Welcome!

I am an Associate Professor at the Computer Science Department of University of California, Los Angeles, and a Visiting Academics at the Amazon AGI org. I direct the PLUSLAB (Peng's Language Understanding and Synthesis Lab) at UCLA, with the vision to develop robust Natural Language Processing (NLP) techniques to lower communication barriers and make AI agents true companions for humans.
Central to my vision is the advancement of AI creativity, which I believe is crucial for fostering more inspiring and productive human-AI interactions. By equipping AI systems with creative capabilities, we enable them to engage in more engaging and contextually rich ways, and offer innovative solutions to complex problems.
To realize this research vision, My group's research encompasses controllable (creative) language generation, multi-modal foundation models, automatic evaluation of foundation models, and low-resource, multilingual natural language understanding (NLU). By integrating these diverse areas, we aim to create AI systems that not only understand and generate language with precision but also exhibit the creativity needed to engage in meaningful, contextually rich dialogues. Our ultimate goal is to empower AI to assist, collaborate, and inspire, thereby enhancing the quality of human life through innovative and accessible technological solutions.
I got my PhD in Computer Science at Johns Hopkins University, Center for Language and Speech Processing, after that, I spent three awesome years at University of Southern California as a Research Assistant Professor at the Computer Science Department, and a Research Lead at the Information Sciences Institute.

News

Announcements

  • Join us! Prospective students please read this.

Upcoming Travel

Recent News

Sep 2024

  • PLUSLab has three papers accepted to NeurIPS 2024 main confernece, and one paper accetped to the Dataset and Benchmark Track!
  • PLUSLab has sixteen papers accepted to EMNLP 2024, ten to the main conference and six to the findings. Six of the papers are nominated for a best paper award! We are excited and humbled to see the recognition from the community!

Jul 2024

  • I will serve as a Program Chair for ICLR 2025. It has been a privilege to work with brilliant colleagues to serve the community!

May 2024

  • PLUSLab has six papers accepted to ACL 2024, two to the main conference and four to the findings; See everyone in Bangkok!
  • I got tenure at UCLA! Thank you, all my mentors, students, collaborators, and colleagues for your consistent help and support!
  • PLUSLab has four papers accepted to ICML 2024; See everyone in Vienna!

Apr 2024

Mar 2024

  • PLUSLab has six papers accepted to NAACL 2024; five to the main conference and one to the findings. See everyone in Mexico City!

Feb 2024

  • Congratulations, Masoud, for his paper on Pre-training medical multimodal models accepted to LREC-COLING 2024.

Jan 2024

  • Congratulations, Kevin, for his paper on reinforcement learning with contrastive distillation accepted to ICLR 2024.
  • Congratulations, Derek, for his paper on data-augmentation for event extraction accepted to AAAI 2024; and another on event-empowered information pathway accetped to AAAI 2024 system demonstration track.

Oct 2023

  • PLUSLab has ten papers accepted to EMNLP 2023; seven to the main conference and three to the findings.

Sep 2023

May 2023

  • Congrats Honghua and Meihua for their paper Gelato acceptence at ICML 2023!
  • Thrilled to receive the 2023 Google Research Scholar. Thank Google for the generous support!
  • PLUSLab has twelve papers accepted to ACL 2023; eleven to the main conference and one to the findings.

Oct 2022

  • Our NADO paper is selected as an Oral paper at Neurips 2022!
  • PLUSLab has eight papers accepted to EMNLP 2022; four to the main conference and four to the findings.

Sep 2022

  • Congrats Sidi and Zi-Yi, for their papers accepted to Neurips 2022!
  • Congrats Zi-Yi, for winning an Amazon-UCLA PhD Fellowship!

Aug 2022

  • Congrats Jiao, for winning an Amazon-USC PhD Fellowship!

Jun 2022

  • Congrats Alex, for winning the Outstanding Paper Award from NAACL 2022.
  • We receive a funding from DARPA to work on learning information pathway. Thank DARPA for the generous support!
  • I will serve as an Area Chair for AAAI 2022.

May 2022

  • I will serve as an Area Chair for EMNLP 2022.

Apr 2022

  • I am invited to give an Early Career Spotlight Talk at IJCAI 2022.
  • I will serve as a Senior Area Chair for AACL 2022.
  • PLUSLab has seven papers accepted to NAACL 2022 main conference.

Mar 2022

  • Congrats Zi-Yi, for his paper acceptance to CVPR 2022.

Feb 2022

Jan 2022

  • Thank Amazon Alexa AI for the generous gift to fund our research on Creative Generation.
  • Thank Cisco for the faculty award to fund our research on Generative Models for Information Extraction tasks.

Dec 2021

  • PLUSLab has a paper accepted to AAAI 2022 as oral presentation, and a paper to AAAI Deep Learning on Graphs DLG-AAAI 2022 workshop.
  • I will serve as an action editor for ARR January 2022 and NAACL 2022.

Sep 2021

  • I will serve as an action editor for ARR November 2021 and ACL 2022.

Aug 2021

  • PLUSLab has nine papers accepted to EMNLP 2021; seven to the main conference and two to the findings of ACL.

Jul 2021

  • I will serve as a Publicity Chair for NAACL 2022!
  • Thank JPMorgan for the Outstanding Faculty Researcher Award!

Jun 2021

  • I will serve as a Workshop Chair for IJCAI 2022!

May 2021

  • PLUSLab has four papers accepted to ACL 2021; Three to the main conference and one to the findings of ACL.
  • I will give an invited talk at NAACL 2021 Narrative Understanding workshop!

Apr 2021

  • I will give an invited talk at Google Research!
  • I will give an invited talk at Microsoft Research!

Mar 2021

  • PLUSLab has three long papers accepted to NAACL 2021.

Jan 2021

  • PLUSLab has a long paper accepted to EACL 2021.

Dec 2020

  • PLUSLab has 2 papers accepted to AAAI 2021.

Oct 2020

  • I will give an invited talk at IBM Research!
  • I will serve as a Area Chair (AC) of the Machine Learning Track for ACL 2021.
  • I will serve as a Senior Area Chair (SAC) of the Generation Track for NAACL 2021.

Sep 2020

  • I will give an invited talk at Amazon!
  • PLUSLab has 9 papers accepted to EMNLP 2020. 5 long papers to the main conference and 4 papers to the findings of EMNLP.

Aug 2020

  • I will serve as an Area Chair for AAAI 2021.

Jun 2020

Apr 2020

Mar 2020

  • I will serve as an Area Chair for the Information Extraction track at EMNLP 2020.

Feb 2020

Jan 2020

  • Giving an invited talk at USC CS.
  • Giving an invited talk at UCLA CS.

Nov 2019


Peng’s Language Understanding & Synthesis (PLUS) Lab

Selected Recent Papers

  1. Adaptable Logical Control for Large Language Models, Honghua Zhang, Po-Nien Kung, Masahiro Yoshida, Guy Van den Broeck, and Nanyun Peng, in Proceedings of The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS), 2024. Details
  2. SafeWorld: Geo-Diverse Safety Alignment, Da Yin, Haoyi Qiu, Kung-Hsiang Huang, Kai-Wei Chang, and Nanyun Peng, in Proceedings of The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS), 2024. Details
  3. MQT-LLaVA: Matryoshka Query Transformer for Large Vision-Language Models, Wenbo Hu, Zi-Yi Dou, Liunian Harold Li, Amita Kamath, Nanyun Peng, and Kai-Wei Chang, in Proceedings of The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS), 2024. Details
  4. Measuring Psychological Depth in Language Models, Fabrice Y. Harel-Canada, Hanyu Zhou, Sreya Muppalla, Zeynep Senahan Yildiz, Miryung Kim, Amit Sahai, and Nanyun Peng, in Proceedings of The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024. Details
  5. Are Large Language Models Capable of Generating Human-Level Narratives?, Yufei Tian, Tenghao Huang, Miri Liu, Derek Jiang, Alexander Spangher, Muhao Chen, Jonathan May, and Nanyun Peng, in Proceedings of The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024. Details
  6. Do LLMs Plan Like Human Writers? Comparing Journalist Coverage of Press Releases with LLMs, Alexander Spangher, Nanyun Peng, Sebastian Gehrmann, and Mark Dredze, in Proceedings of The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024. Details
  7. Evaluating LLMs’ Capability in Satisfying Lexical Constraints, Bingxuan Li, Yiwei Wang, Tao Meng, Kai-Wei Chang, and Nanyun Peng, in Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024. Details
  8. Explaining and Improving Contrastive Decoding by Extrapolating the Probabilities of a Huge and Hypothetical LM, Haw-Shiuan Chang, Nanyun Peng, Mohit Bansal, Anil Ramakrishna, and Tagyoung Chung, in Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024. Details
  9. Re-ReST: Reflection-Reinforced Self-Training for Language Agents, Zi-Yi Dou, Cheng-Fu Yang, Xueqing Wu, Kai-Wei Chang, and Nanyun Peng, in Proceedings of The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024. Details
  10. SPEED++: A Multilingual Event Extraction Framework for Epidemic Prediction and Preparedness, Tanmay Parekh, Jeffrey Kwan, Jiarui Yu, Sparsh Johri, Hyosang Ahn, Sreya Muppalla, Kai-Wei Chang, Wei Wang, and Nanyun Peng, in Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024. Details
  11. Detecting Machine-Generated Long-Form Content with Latent-Space Variables, Yufei Tian, Zeyu Pan, and Nanyun Peng, in Proceedings of the Findings of ACL at The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP-Findings), 2024. Details
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. Tracking the Newsworthiness of Public Documents, Alexander Spangher, Serdar Tumgoren, Ben Welsh, Nanyun Peng, Emilio Ferrara, and Jonathan May, in Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL), 2024. Details
  19. 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
  20. 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
  21. 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
  22. 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
  23. 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
  24. 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
  25. 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
  26. 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
  27. “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
  28. 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
  29. 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
  30. 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
  31. 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
  32. 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
  33. 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
  34. 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
  35. 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
  36. 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
  37. 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
  38. 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
  39. 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
  40. 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
  41. 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
  42. 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
  43. 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
  44. 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
  45. 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
  46. 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
  47. 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
  48. 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
  49. 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
  50. 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
  51. 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
  52. 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
  53. 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
  54. 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
  55. 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
  56. 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
  57. 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
  58. 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
  59. "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
  60. 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
  61. 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
  62. 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
  63. 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
  64. 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
  65. 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
  66. 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
  67. 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
  68. 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
  69. 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
  70. 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
  71. 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
  72. 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
  73. 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
  74. 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
  75. 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
  76. 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
  77. 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
  78. 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
  79. 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
  80. 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

About Me

Experience

Selected Awards and Recognitions

Teaching