Παρακολούθηση
Angelica Chen
Angelica Chen
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα nyu.edu - Αρχική σελίδα
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Παρατίθεται από
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Beyond the imitation game: Quantifying and extrapolating the capabilities of language models
A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ...
arXiv preprint arXiv:2206.04615, 2022
13132022
BBQ: A hand-built bias benchmark for question answering
A Parrish, A Chen, N Nangia, V Padmakumar, J Phang, J Thompson, ...
arXiv preprint arXiv:2110.08193, 2021
3252021
Pretraining language models with human preferences
T Korbak, K Shi, A Chen, RV Bhalerao, C Buckley, J Phang, SR Bowman, ...
International Conference on Machine Learning, 17506-17533, 2023
1882023
Learning from Natural Language Feedback
A Chen, J Scheurer, JA Campos, T Korbak, JS Chan, SR Bowman, K Cho, ...
Transactions on Machine Learning Research, 2024
155*2024
QuALITY: Question Answering with Long Input Texts, Yes!
SR Bowman, A Chen, H He, N Joshi, J Ma, N Nangia, V Padmakumar, ...
NAACL 2022, 2022
127*2022
Seasonal dynamics of bacterial meningitis: a time-series analysis
J Paireau, A Chen, H Broutin, B Grenfell, NE Basta
The Lancet global health 4 (6), e370-e377, 2016
1042016
Evoprompting: Language models for code-level neural architecture search
A Chen, D Dohan, D So
Advances in neural information processing systems 36, 7787-7817, 2023
802023
Improving code generation by training with natural language feedback
A Chen, J Scheurer, T Korbak, JA Campos, JS Chan, SR Bowman, K Cho, ...
arXiv preprint arXiv:2303.16749, 2023
672023
Squality: Building a long-document summarization dataset the hard way
A Wang, RY Pang, A Chen, J Phang, SR Bowman
arXiv preprint arXiv:2205.11465, 2022
612022
Sudden drops in the loss: Syntax acquisition, phase transitions, and simplicity bias in MLMs
A Chen, R Shwartz-Ziv, K Cho, ML Leavitt, N Saphra
arXiv preprint arXiv:2309.07311, 2023
432023
Generating logical forms from graph representations of text and entities
P Shaw, P Massey, A Chen, F Piccinno, Y Altun
arXiv preprint arXiv:1905.08407, 2019
432019
What do nlp researchers believe? results of the nlp community metasurvey
J Michael, A Holtzman, A Parrish, A Mueller, A Wang, A Chen, D Madaan, ...
arXiv preprint arXiv:2208.12852, 2022
342022
Two failures of self-consistency in the multi-step reasoning of LLMs
A Chen, J Phang, A Parrish, V Padmakumar, C Zhao, SR Bowman, K Cho
arXiv preprint arXiv:2305.14279, 2023
272023
Reasoning from radically incomplete information: The case of containers
E Davis, G Marcus, A Chen
Proceedings of the second annual conference on advances in cognitive systems …, 2013
202013
Single-turn debate does not help humans answer hard reading-comprehension questions
A Parrish, H Trivedi, E Perez, A Chen, N Nangia, J Phang, SR Bowman
arXiv preprint arXiv:2204.05212, 2022
162022
Preference Learning Algorithms Do Not Learn Preference Rankings
A Chen, S Malladi, LH Zhang, X Chen, Q Zhang, R Ranganath, K Cho
arXiv preprint arXiv:2405.19534, 2024
152024
Teaching BERT to wait: Balancing accuracy and latency for streaming disfluency detection
A Chen, V Zayats, DD Walker, D Padfield
arXiv preprint arXiv:2205.00620, 2022
142022
Adversarially constructed evaluation sets are more challenging, but may not be fair
J Phang, A Chen, W Huang, SR Bowman
arXiv preprint arXiv:2111.08181, 2021
122021
Latent state models of training dynamics
MY Hu, A Chen, N Saphra, K Cho
arXiv preprint arXiv:2308.09543, 2023
52023
LLMs are highly-constrained biophysical sequence optimizers
A Chen, SD Stanton, RG Alberstein, AM Watkins, R Bonneau, ...
arXiv preprint arXiv:2410.22296, 2024
22024
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