Chen, Danqi

Detecting Pretraining Data from Large Language Models

Shi, W., Ajith, A., Xia, M., Huang, Y., Liu, D., Blevins, T., Chen, D., & Zettlemoyer, L. (2023) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 37

Can Rationalization Improve Robustness?

Chen, H., He, J., Narasimhan, K., & Chen, D. (2022) · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Natural Language Processing TechniquesTopic Modeling

Cited by 31

What In-Context Learning "Learns" In-Context: Disentangling Task Recognition and Task Learning

Pan, J., Gao, T., Chen, H., & Chen, D. (2023) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 29

What In-Context Learning “Learns” In-Context: Disentangling Task Recognition and Task Learning

Pan, J., Gao, T., Chen, H., & Chen, D. (2023) · Findings of the Association for Computational Linguistics: ACL 2023

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 29

Foundational Challenges in Assuring Alignment and Safety of Large Language Models

Anwar, U., Saparov, A., Rando, J., Paleka, D., Turpin, M., Hase, P., Lubana, E. S., Jenner, E., Casper, S., Sourbut, O., et al. (2024) · arXiv

Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning

Cited by 19

Evaluating Large Language Models at Evaluating Instruction Following

Zeng, Z., Yu, J., Gao, T., Meng, Y., Goyal, T., & Chen, D. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 13

LitSearch: A Retrieval Benchmark for Scientific Literature Search

Ajith, A., Xia, M., Chevalier, A., Goyal, T., Chen, D., & Gao, T. (2024) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 13

SimPO: Simple Preference Optimization with a Reference-Free Reward

Meng, Y., Xia, M., & Chen, D. (2024) · arXiv

Reinforcement Learning in RoboticsTopic Modeling

Cited by 12

Long-Context Language Modeling with Parallel Context Encoding

Yen, H., Gao, T., & Chen, D. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 9

Certifiably Robust RAG against Retrieval Corruption

Xiang, C., Wu, T., Zhong, Z., Wagner, D., Chen, D., & Mittal, P. (2024) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 7

Goedel-Prover: A Frontier Model for Open-Source Automated Theorem Proving

Lin, Y., Tang, S., Lyu, B., Wu, J., Lin, H., Yang, K., Li, J., Xia, M., Chen, D., Arora, S., et al. (2025) · arXiv

Mathematics, Computing, and Information ProcessingLogic, programming, and type systems

Cited by 3

HELMET: How to Evaluate Long-Context Language Models Effectively and Thoroughly

Yen, H., Gao, T., Hou, M., Ding, K., Fleischer, D., Izsak, P., Wasserblat, M., & Chen, D. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 2

Organize the Web: Constructing Domains Enhances Pre-Training Data Curation

Wettig, A., Lo, K., Min, S., Hajishirzi, H., Chen, D., & Soldaini, L. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Unintentional Unalignment: Likelihood Displacement in Direct Preference Optimization

Razin, N., Malladi, S., Bhaskar, A., Chen, D., Arora, S., & Hanin, B. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Continual Memorization of Factoids in Language Models

Chen, H., Geng, J., Bhaskar, A., Friedman, D., & Chen, D. (2024) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 0