Allen Nie

According to our database, Allen Nie authored at least 22 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A Fast and Accurate Machine Learning Autograder for the Breakout Assignment.

Evan Zheran Liu, David Yuan, Ahmed Ahmed, Elyse Cornwall, Juliette Woodrow, Kaylee Burns, Allen Nie, Emma Brunskill, Chris Piech, Chelsea Finn

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

Estimating the Causal Treatment Effect of Unproductive Persistence.

Amelia Leon, Allen Nie, Yash Chandak, Emma Brunskill

Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

2023

LLF-Bench: Benchmark for Interactive Learning from Language Feedback.

Ching-An Cheng, Andrey Kolobov, Dipendra Misra, Allen Nie, Adith Swaminathan

CoRR, 2023

Reinforcement Learning Tutor Better Supported Lower Performers in a Math Task.

Sherry Ruan, Allen Nie, William Steenbergen, Jiayu He, JQ Zhang, Meng Guo, Yao Liu, Kyle Dang Nguyen, Catherine Y. Wang, Rui Ying, James A. Landay, Emma Brunskill

CoRR, 2023

MoCa: Measuring Human-Language Model Alignment on Causal and Moral Judgment Tasks.

Allen Nie, Yuhui Zhang, Atharva Amdekar, Chris Piech, Tatsunori B. Hashimoto, Tobias Gerstenberg

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Waypoint Transformer: Reinforcement Learning via Supervised Learning with Intermediate Targets.

Anirudhan Badrinath, Yannis Flet-Berliac, Allen Nie, Emma Brunskill

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Understanding the Impact of Reinforcement Learning Personalization on Subgroups of Students in Math Tutoring.

Allen Nie, Ann-Katrin Reuel, Emma Brunskill

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023

Model-Based Offline Reinforcement Learning with Local Misspecification.

Kefan Dong, Yannis Flet-Berliac, Allen Nie, Emma Brunskill

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.

Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R. Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, Agnieszka Kluska, Aitor Lewkowycz, Akshat Agarwal, Alethea Power, Alex Ray, Alex Warstadt, Alexander W. Kocurek, Ali Safaya, Ali Tazarv, Alice Xiang, Alicia Parrish, Allen Nie, Aman Hussain, Amanda Askell, Amanda Dsouza, Ameet Rahane, Anantharaman S. Iyer, Anders Andreassen, Andrea Santilli, Andreas Stuhlmüller, Andrew M. Dai, Andrew La, Andrew K. Lampinen, Andy Zou, Angela Jiang, Angelica Chen, Anh Vuong, Animesh Gupta, Anna Gottardi, Antonio Norelli, Anu Venkatesh, Arash Gholamidavoodi, Arfa Tabassum, Arul Menezes, Arun Kirubarajan, Asher Mullokandov, Ashish Sabharwal, Austin Herrick, Avia Efrat, Aykut Erdem, Ayla Karakas, et al.

CoRR, 2022

Data-Efficient Pipeline for Offline Reinforcement Learning with Limited Data.

Allen Nie, Yannis Flet-Berliac, Deon R. Jordan, William Steenbergen, Emma Brunskill

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Giving Feedback on Interactive Student Programs with Meta-Exploration.

Evan Zheran Liu, Moritz Stephan, Allen Nie, Chris Piech, Emma Brunskill, Chelsea Finn

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Play to Grade: Testing Coding Games as Classifying Markov Decision Process.

Allen Nie, Emma Brunskill, Chris Piech

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

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, James Zou

Proceedings of the Pacific Symposium on Biocomputing 2020, 2020

Pragmatic Issue-Sensitive Image Captioning.

Allen Nie, Reuben Cohn-Gordon, Christopher Potts

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Inducing Grammar from Long Short-Term Memory Networks by Shapley Decomposition.

Yuhui Zhang, Allen Nie

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2020

2019

VetTag: improving automated veterinary diagnosis coding via large-scale language modeling.

Yuhui Zhang, Allen Nie, Ashley Zehnder, Rodney López Page, James Zou

npj Digit. Medicine, 2019

Learning to Explain: Answering Why-Questions via Rephrasing.

Allen Nie, Erin D. Bennett, Noah D. Goodman

CoRR, 2019

DisSent: Learning Sentence Representations from Explicit Discourse Relations.

Allen Nie, Erin Bennett, Noah D. Goodman

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

DeepTag: inferring diagnoses from veterinary clinical notes.

Allen Nie, Ashley Zehnder, Rodney López Page, Yuhui Zhang, Arturo López Pineda, Manuel A. Rivas, Carlos D. Bustamante, James Zou

npj Digit. Medicine, 2018

Large-scale Generative Modeling to Improve Automated Veterinary Disease Coding.

Yuhui Zhang, Allen Nie, James Zou

CoRR, 2018

DeepTag: inferring all-cause diagnoses from clinical notes in under-resourced medical domain.

Allen Nie, Ashley Zehnder, Rodney López Page, Arturo L. Pineda, Manuel A. Rivas, Carlos D. Bustamante, James Zou

CoRR, 2018

2017

DisSent: Sentence Representation Learning from Explicit Discourse Relations.

Allen Nie, Erin D. Bennett, Noah D. Goodman

CoRR, 2017