Angelica Chen

According to our database1, Angelica Chen authored at least 21 papers between 2019 and 2024.

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Bibliography

2024
Learning from Natural Language Feedback.
Trans. Mach. Learn. Res., 2024

Two Failures of Self-Consistency in the Multi-Step Reasoning of LLMs.
Trans. Mach. Learn. Res., 2024

LLMs are Highly-Constrained Biophysical Sequence Optimizers.
CoRR, 2024

Preference Learning Algorithms Do Not Learn Preference Rankings.
CoRR, 2024

Sudden Drops in the Loss: Syntax Acquisition, Phase Transitions, and Simplicity Bias in MLMs.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.
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Trans. Mach. Learn. Res., 2023

Latent State Models of Training Dynamics.
Trans. Mach. Learn. Res., 2023

AI safety by debate via regret minimization.
CoRR, 2023

Training Language Models with Language Feedback at Scale.
CoRR, 2023

Improving Code Generation by Training with Natural Language Feedback.
CoRR, 2023

EvoPrompting: Language Models for Code-Level Neural Architecture Search.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Pretraining Language Models with Human Preferences.
Proceedings of the International Conference on Machine Learning, 2023

What Do NLP Researchers Believe? Results of the NLP Community Metasurvey.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Learning from Natural Language Feedback.
CoRR, 2022

Single-Turn Debate Does Not Help Humans Answer Hard Reading-Comprehension Questions.
CoRR, 2022

QuALITY: Question Answering with Long Input Texts, Yes!
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Teaching BERT to Wait: Balancing Accuracy and Latency for Streaming Disfluency Detection.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

SQuALITY: Building a Long-Document Summarization Dataset the Hard Way.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

BBQ: A hand-built bias benchmark for question answering.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
Adversarially Constructed Evaluation Sets Are More Challenging, but May Not Be Fair.
CoRR, 2021

2019
Generating Logical Forms from Graph Representations of Text and Entities.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019


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