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Allen Nie
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2020 – today
- 2024
- [c13]Amelia Leon, Allen Nie, Yash Chandak, Emma Brunskill:
Estimating the Causal Treatment Effect of Unproductive Persistence. LAK 2024: 843-849 - [c12]Evan Zheran Liu, David Yuan, Ahmed Ahmed, Elyse Cornwall, Juliette Woodrow, Kaylee Burns, Allen Nie, Emma Brunskill, Chris Piech, Chelsea Finn:
A Fast and Accurate Machine Learning Autograder for the Breakout Assignment. SIGCSE (1) 2024: 736-742 - 2023
- [c11]Kefan Dong, Yannis Flet-Berliac, Allen Nie, Emma Brunskill:
Model-Based Offline Reinforcement Learning with Local Misspecification. AAAI 2023: 7423-7431 - [c10]Allen Nie, Ann-Katrin Reuel, Emma Brunskill:
Understanding the Impact of Reinforcement Learning Personalization on Subgroups of Students in Math Tutoring. AIED (Posters/Late Breaking Results/...) 2023: 688-694 - [c9]Anirudhan Badrinath, Yannis Flet-Berliac, Allen Nie, Emma Brunskill:
Waypoint Transformer: Reinforcement Learning via Supervised Learning with Intermediate Targets. NeurIPS 2023 - [c8]Allen Nie, Yuhui Zhang, Atharva Amdekar, Chris Piech, Tatsunori B. Hashimoto, Tobias Gerstenberg:
MoCa: Measuring Human-Language Model Alignment on Causal and Moral Judgment Tasks. NeurIPS 2023 - [i15]Kefan Dong, Yannis Flet-Berliac, Allen Nie, Emma Brunskill:
Model-based Offline Reinforcement Learning with Local Misspecification. CoRR abs/2301.11426 (2023) - [i14]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:
Reinforcement Learning Tutor Better Supported Lower Performers in a Math Task. CoRR abs/2304.04933 (2023) - [i13]Anirudhan Badrinath, Yannis Flet-Berliac, Allen Nie, Emma Brunskill:
Waypoint Transformer: Reinforcement Learning via Supervised Learning with Intermediate Targets. CoRR abs/2306.14069 (2023) - [i12]Allen Nie, Yuhui Zhang, Atharva Amdekar, Chris Piech, Tatsunori Hashimoto, Tobias Gerstenberg:
MoCa: Measuring Human-Language Model Alignment on Causal and Moral Judgment Tasks. CoRR abs/2310.19677 (2023) - [i11]Ching-An Cheng, Andrey Kolobov, Dipendra Misra, Allen Nie, Adith Swaminathan:
LLF-Bench: Benchmark for Interactive Learning from Language Feedback. CoRR abs/2312.06853 (2023) - 2022
- [c7]Evan Zheran Liu, Moritz Stephan, Allen Nie, Chris Piech, Emma Brunskill, Chelsea Finn:
Giving Feedback on Interactive Student Programs with Meta-Exploration. NeurIPS 2022 - [c6]Allen Nie, Yannis Flet-Berliac, Deon R. Jordan, William Steenbergen, Emma Brunskill:
Data-Efficient Pipeline for Offline Reinforcement Learning with Limited Data. NeurIPS 2022 - [i10]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.:
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. CoRR abs/2206.04615 (2022) - [i9]Allen Nie, Yannis Flet-Berliac, Deon R. Jordan, William Steenbergen, Emma Brunskill:
Data-Efficient Pipeline for Offline Reinforcement Learning with Limited Data. CoRR abs/2210.08642 (2022) - [i8]Evan Zheran Liu, Moritz Stephan, Allen Nie, Chris Piech, Emma Brunskill, Chelsea Finn:
Giving Feedback on Interactive Student Programs with Meta-Exploration. CoRR abs/2211.08802 (2022) - 2021
- [c5]Allen Nie, Emma Brunskill, Chris Piech:
Play to Grade: Testing Coding Games as Classifying Markov Decision Process. NeurIPS 2021: 1506-1518 - [i7]Allen Nie, Emma Brunskill, Chris Piech:
Play to Grade: Testing Coding Games as Classifying Markov Decision Process. CoRR abs/2110.14615 (2021) - 2020
- [c4]Yuhui Zhang, Allen Nie:
Inducing Grammar from Long Short-Term Memory Networks by Shapley Decomposition. ACL (student) 2020: 299-305 - [c3]Allen Nie, Reuben Cohn-Gordon, Christopher Potts:
Pragmatic Issue-Sensitive Image Captioning. EMNLP (Findings) 2020: 1924-1938 - [c2]Allen Nie, Arturo L. Pineda, Matt W. Wright, Hannah Wand, Bryan Wulf, Helio A. Costa, Ronak Y. Patel, Carlos D. Bustamante, James Zou:
LitGen: Genetic Literature Recommendation Guided by Human Explanations. PSB 2020: 67-78 - [i6]Allen Nie, Reuben Cohn-Gordon, Christopher Potts:
Pragmatic Issue-Sensitive Image Captioning. CoRR abs/2004.14451 (2020)
2010 – 2019
- 2019
- [j2]Yuhui Zhang, Allen Nie, Ashley Zehnder, Rodney López Page, James Zou:
VetTag: improving automated veterinary diagnosis coding via large-scale language modeling. npj Digit. Medicine 2 (2019) - [c1]Allen Nie, Erin Bennett, Noah D. Goodman:
DisSent: Learning Sentence Representations from Explicit Discourse Relations. ACL (1) 2019: 4497-4510 - [i5]Allen Nie, Erin D. Bennett, Noah D. Goodman:
Learning to Explain: Answering Why-Questions via Rephrasing. CoRR abs/1906.01243 (2019) - [i4]Allen Nie, Arturo L. Pineda, Matt W. Wright, Hannah Wand, Bryan Wulf, Helio A. Costa, Ronak Y. Patel, Carlos D. Bustamante, James Zou:
LitGen: Genetic Literature Recommendation Guided by Human Explanations. CoRR abs/1909.10699 (2019) - 2018
- [j1]Allen Nie, Ashley Zehnder, Rodney López Page, Yuhui Zhang, Arturo López Pineda, Manuel A. Rivas, Carlos D. Bustamante, James Zou:
DeepTag: inferring diagnoses from veterinary clinical notes. npj Digit. Medicine 1 (2018) - [i3]Allen Nie, Ashley Zehnder, Rodney López Page, Arturo L. Pineda, Manuel A. Rivas, Carlos D. Bustamante, James Zou:
DeepTag: inferring all-cause diagnoses from clinical notes in under-resourced medical domain. CoRR abs/1806.10722 (2018) - [i2]Yuhui Zhang, Allen Nie, James Zou:
Large-scale Generative Modeling to Improve Automated Veterinary Disease Coding. CoRR abs/1811.11958 (2018) - 2017
- [i1]Allen Nie, Erin D. Bennett, Noah D. Goodman:
DisSent: Sentence Representation Learning from Explicit Discourse Relations. CoRR abs/1710.04334 (2017)
Coauthor Index
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last updated on 2024-04-25 02:43 CEST by the dblp team
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