Recent

• LLF-Bench: Benchmark for Interactive Learning from Language Feedback
  Ching-An Cheng*, Andrey Kolobov*, Dipendra Misra*, Allen Nie*, Adith Swaminathan* (2023). (Equal contribution, alphabetical order). ArXiv release.
  ArXiv PDF
• MoCa: Measuring Human-Language Model Alignment on Causal and Moral Judgment Tasks
  Allen Nie, Yuhui Zhang, Simon Huang, Atharva Amdekar, Chris Piech, Tatsunori Hashimoto, Tobias Gerstenberg (2023). Presented at NeurIPS 2023.
  NeurIPS 2023 PDF
• Waypoint Transformer: Reinforcement Learning via Supervised Learning with Intermediate Targets
  Anirudhan Badrinath, Yannis Flet-Berliac, Allen Nie, Emma Brunskill (2023). Presented at NeurIPS 2023.
  NeurIPS 2023 PDF
• Reinforcement Learning Tutor Better Supported Lower Performers in a Math Task
  Sherry Ruan*, Allen Nie*, William Steenbergen, Jiayu He, J. Q. Zhang, Meng Guo, Yao Liu, ..., James A Landay, Emma Brunskill. arXiv preprint arXiv:2304.04933 (2023).
  Machine Learning Journal 2023 PDF

Reinforcement Learning

• Model-based Offline Reinforcement Learning with Local Misspecification
  Kefan Dong*, Allen Nie*, Yannis Flet-Berliac*, Emma Brunskill (2022). Oral at AAAI 2023. (Co-first authors, alphabetical order).
  AAAI 2023 PDF
• Data-Efficient Pipeline for Offline Reinforcement Learning with Limited Data
  Allen Nie, Yannis Flet-Berliac, Deon R. Jordan, William Steenbergen, Emma Brunskill (2022). Presented at NeurIPS 2022. Oral at AAAI 2023 Workshop on Reinforcement Learning Ready for Production.
  NeurIPS 2022 PDF Tweet Slides
• Giving Feedback on Interactive Student Programs with Meta-Exploration
  Evan Zheran Liu, Moritz Stephan, Allen Nie, Chris Piech, Emma Brunskill, Chelsea Finn (2022). Oral at NeurIPS 2022.
  NeurIPS 2022 PDF
• Play to Grade: Testing Coding Games as Classifying Markov Decision Process
  Allen Nie, Emma Brunskill, Chris Piech (2021). Presented at NeurIPS 2021.
  NeurIPS 2021 PDF Blog

Reinforcement Learning For Education

• Estimating the Causal Treatment Effect of Unproductive Persistence
  Amelia Leon, Allen Nie, Yash Chandak, Emma Brunskill (2024). Proceedings of the 14th Learning Analytics and Knowledge (LAK) Conference. Kyoto, Japan. (Nominated for Best Short Paper Award).
  LAK 2024 PDF
• Understanding the Impact of Reinforcement Learning Personalization on Subgroups of Students in Math Tutoring
  Allen Nie*, Ann-Katrin Reuel*, and Emma Brunskill. Presented at AIED 2023. The 24th International Conference on Artificial Intelligence in Education. Tokyo, Japan.
  AIED 2023 PDF

Natural Language Processing and Understanding

• Pragmatic Issue-Sensitive Image Captioning
  Allen Nie, Reuben Cohn-Gordon, and Chris Potts. (2020). Presented at EMNLP 2020. Oral at CoNLL 2020.
  EMNLP 2020 PDF Blog
• Learning to Explain: Answering Why-Questions via Rephrasing.
  Allen Nie, Erin D. Bennett, and Noah D. Goodman (2019). Proceedings of the 1st Workshop NLP for Conversational AI. Florence, Italy. ACL 2019.
  ACL 2019 Workshop PDF Code Demo
• DisSent: Sentence Representation Learning from Explicit Discourse Relations
  Allen Nie, Erin D. Bennett, Noah D. Goodman (2017). Published in ACL 2019. Florence Italy.
  ACL 2019 PDF Code ACL
• Data Noising as Smoothing in Neural Network Sequence Models Ziang, X., Sida W., Jiwei L., Levy, D., Nie A., Jurafsky, Dan & Ng, Andrew, (2016). 5th International Conference on Learning Representations (ICLR). Toulon, France. (Oral at BayLearn 2016)
  ICLR 2016 PDF

Collaborations and Applications

• Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
  Aarohi Srivastava, ..., Allen Nie, ..., Tatsu Hashimoto, Tobias Gerstenberg, ... (2022). ArXiv. Presented at NeurIPS 2022 (Lead by Google Research, Jascha Sohl-Dickstein team).
  TMLR 2023 PDF
• On the Opportunities and Risks of Foundation Models
  Rishi Bommasani, Drew A. Hudson, ..., Allen Nie, ..., Percy Liang. (2021). ArXiv. Presented at Center for Research on Foundation Models (CRFM).
  PDF
• LitGen: Genetic Literature Recommendation Guided by Human Explanations
  Allen Nie, Arturo L. Pineda, Matt W. Wright, Hannah Wand, Bryan Wulf, Helio A. Costa, Ronak Y. Patel, Carlos D. Bustamante, and James Zou. Pacific Symposium of Biocomputing (2020): Artificial Intelligence for Enhancing Clinical Medicine Session.
  PSB 2020 PDF Code
• VetTag: improving automated veterinary diagnosis coding via large-scale language modeling.
  Yuhui Zhang*, Allen Nie*, Ashley Zehnder, James Zou (2019). Nature (npj) Digital Medicine 2, Article: 35.
  npj Digital Medicine 2019 PDF Demo
• DeepTag: inferring diagnoses from veterinary clinical notes.
  Allen Nie, Ashley Zehnder, Rodney L. Page, Arturo L. Pineda, Manuel A. Rivas, Carlos D. Bustamante, James Zou., (2018). Nature (npj) Digital Medicine 1, Article: 60.
  npj Digital Medicine 2018 PDF Code Demo

Cognitive Science and Psycholinguistics

• Representations of Time Affect Willingness to Wait for Future Rewards
  Thorstad, R., Nie, A., & Wolff, P. (2015). 37th Annual Conference of the Cognitive Science Society. Pasadena, California.
  CogSci 2015 PDF
• Computational Exploration to Linguistic Structures of Future, Classification and Categorization
  Nie, A., Sheppard, J., Choi, J., Copley, B., Wolff, P., (2015). The North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Denver, Colorado.
  ACL 2015 Workshop PDF