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2020 – today
- 2023
[c7]Julian Michael, Ari Holtzman, Alicia Parrish, Aaron Mueller, Alex Wang, Angelica Chen, Divyam Madaan, Nikita Nangia, Richard Yuanzhe Pang, Jason Phang, Samuel R. Bowman:
What Do NLP Researchers Believe? Results of the NLP Community Metasurvey. ACL (1) 2023: 16334-16368- [c6]Tomasz Korbak, Kejian Shi, Angelica Chen, Rasika Vinayak Bhalerao, Christopher L. Buckley, Jason Phang, Samuel R. Bowman, Ethan Perez:
Pretraining Language Models with Human Preferences. ICML 2023: 17506-17533 - [i17]Tomasz Korbak, Kejian Shi, Angelica Chen, Rasika Bhalerao, Christopher L. Buckley, Jason Phang, Samuel R. Bowman, Ethan Perez:
Pretraining Language Models with Human Preferences. CoRR abs/2302.08582 (2023) - [i16]Angelica Chen, David M. Dohan, David R. So:
EvoPrompting: Language Models for Code-Level Neural Architecture Search. CoRR abs/2302.14838 (2023) - [i15]Angelica Chen, Jérémy Scheurer, Tomasz Korbak, Jon Ander Campos, Jun Shern Chan, Samuel R. Bowman, Kyunghyun Cho, Ethan Perez:
Improving Code Generation by Training with Natural Language Feedback. CoRR abs/2303.16749 (2023) - [i14]Jérémy Scheurer, Jon Ander Campos, Tomasz Korbak, Jun Shern Chan, Angelica Chen, Kyunghyun Cho, Ethan Perez:
Training Language Models with Language Feedback at Scale. CoRR abs/2303.16755 (2023) - [i13]Angelica Chen, Jason Phang, Alicia Parrish, Vishakh Padmakumar, Chen Zhao, Samuel R. Bowman, Kyunghyun Cho:
Two Failures of Self-Consistency in the Multi-Step Reasoning of LLMs. CoRR abs/2305.14279 (2023) - [i12]Michael Y. Hu, Angelica Chen, Naomi Saphra, Kyunghyun Cho:
Latent State Models of Training Dynamics. CoRR abs/2308.09543 (2023) - [i11]Angelica Chen, Ravid Schwartz-Ziv, Kyunghyun Cho, Matthew L. Leavitt, Naomi Saphra:
Sudden Drops in the Loss: Syntax Acquisition, Phase Transitions, and Simplicity Bias in MLMs. CoRR abs/2309.07311 (2023) - 2022
- [c5]Alicia Parrish, Angelica Chen, Nikita Nangia, Vishakh Padmakumar, Jason Phang, Jana Thompson, Phu Mon Htut, Samuel R. Bowman:
BBQ: A hand-built bias benchmark for question answering. ACL (Findings) 2022: 2086-2105 - [c4]Alex Wang, Richard Yuanzhe Pang, Angelica Chen, Jason Phang, Samuel R. Bowman:
SQuALITY: Building a Long-Document Summarization Dataset the Hard Way. EMNLP 2022: 1139-1156 - [c3]Angelica Chen, Vicky Zayats, Daniel D. Walker, Dirk Padfield:
Teaching BERT to Wait: Balancing Accuracy and Latency for Streaming Disfluency Detection. NAACL-HLT 2022: 827-838 - [c2]Richard Yuanzhe Pang, Alicia Parrish, Nitish Joshi, Nikita Nangia, Jason Phang, Angelica Chen, Vishakh Padmakumar, Johnny Ma, Jana Thompson, He He, Samuel R. Bowman:
QuALITY: Question Answering with Long Input Texts, Yes! NAACL-HLT 2022: 5336-5358 - [i10]Alicia Parrish, Harsh Trivedi, Ethan Perez, Angelica Chen, Nikita Nangia, Jason Phang, Samuel R. Bowman:
Single-Turn Debate Does Not Help Humans Answer Hard Reading-Comprehension Questions. CoRR abs/2204.05212 (2022) - [i9]Jérémy Scheurer, Jon Ander Campos, Jun Shern Chan, Angelica Chen, Kyunghyun Cho, Ethan Perez:
Learning from Natural Language Feedback. CoRR abs/2204.14146 (2022) - [i8]Angelica Chen, Vicky Zayats, Daniel D. Walker, Dirk Padfield:
Teaching BERT to Wait: Balancing Accuracy and Latency for Streaming Disfluency Detection. CoRR abs/2205.00620 (2022) - [i7]Alex Wang, Richard Yuanzhe Pang, Angelica Chen, Jason Phang, Samuel R. Bowman:
SQuALITY: Building a Long-Document Summarization Dataset the Hard Way. CoRR abs/2205.11465 (2022) - [i6]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) - [i5]Julian Michael, Ari Holtzman, Alicia Parrish, Aaron Mueller, Alex Wang, Angelica Chen, Divyam Madaan, Nikita Nangia, Richard Yuanzhe Pang, Jason Phang, Samuel R. Bowman:
What Do NLP Researchers Believe? Results of the NLP Community Metasurvey. CoRR abs/2208.12852 (2022) - 2021
- [i4]Alicia Parrish, Angelica Chen, Nikita Nangia, Vishakh Padmakumar, Jason Phang, Jana Thompson, Phu Mon Htut, Samuel R. Bowman:
BBQ: A Hand-Built Bias Benchmark for Question Answering. CoRR abs/2110.08193 (2021) - [i3]Jason Phang, Angelica Chen, William Huang, Samuel R. Bowman:
Adversarially Constructed Evaluation Sets Are More Challenging, but May Not Be Fair. CoRR abs/2111.08181 (2021) - [i2]Richard Yuanzhe Pang, Alicia Parrish, Nitish Joshi, Nikita Nangia, Jason Phang, Angelica Chen, Vishakh Padmakumar, Johnny Ma, Jana Thompson, He He, Samuel R. Bowman:
QuALITY: Question Answering with Long Input Texts, Yes! CoRR abs/2112.08608 (2021)
2010 – 2019
- 2019
- [c1]Peter Shaw, Philip Massey, Angelica Chen, Francesco Piccinno, Yasemin Altun:
Generating Logical Forms from Graph Representations of Text and Entities. ACL (1) 2019: 95-106 - [i1]Peter Shaw, Philip Massey, Angelica Chen, Francesco Piccinno, Yasemin Altun:
Generating Logical Forms from Graph Representations of Text and Entities. CoRR abs/1905.08407 (2019)
Coauthor Index
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last updated on 2023-09-27 22:47 CEST by the dblp team
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