Danqi Chen

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 27

Top Topics

Risk Management

Realistic Scenarios

Top Venues

Publications

Yu Meng, Mengzhou Xia, Danqi Chen
SimPO: Simple Preference Optimization with a Reference-Free Reward. CoRR (2024)
Chong Xiang, Tong Wu, Zexuan Zhong, David A. Wagner, Danqi Chen, Prateek Mittal
Certifiably Robust RAG against Retrieval Corruption. CoRR (2024)
Zhiyuan Zeng, Jiatong Yu, Tianyu Gao, Yu Meng, Tanya Goyal, Danqi Chen
Evaluating Large Language Models at Evaluating Instruction Following. ICLR (2024)
Zirui Wang, Mengzhou Xia, Luxi He, Howard Chen, Yitao Liu, Richard Zhu, Kaiqu Liang, Xindi Wu, Haotian Liu, Sadhika Malladi, Alexis Chevalier, Sanjeev Arora, Danqi Chen
CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs. CoRR (2024)
Dan Friedman, Abhishek Panigrahi, Danqi Chen
Representing Rule-based Chatbots with Transformers. CoRR (2024)
Xiangyu Qi, Yangsibo Huang, Yi Zeng, Edoardo Debenedetti, Jonas Geiping, Luxi He, Kaixuan Huang, Udari Madhushani, Vikash Sehwag, Weijia Shi, Boyi Wei, Tinghao Xie, Danqi Chen, Pin-Yu Chen, Jeffrey Ding, Ruoxi Jia, Jiaqi Ma, Arvind Narayanan, Weijie J. Su, Mengdi Wang, Chaowei Xiao, Bo Li, Dawn Song, Peter Henderson, Prateek Mittal
AI Risk Management Should Incorporate Both Safety and Security. CoRR (2024)
Zexuan Zhong, Mengzhou Xia, Danqi Chen, Mike Lewis
Lory: Fully Differentiable Mixture-of-Experts for Autoregressive Language Model Pre-training. CoRR (2024)
Luxi He, Yangsibo Huang, Weijia Shi, Tinghao Xie, Haotian Liu, Yue Wang, Luke Zettlemoyer, Chiyuan Zhang, Danqi Chen, Peter Henderson
Fantastic Copyrighted Beasts and How (Not) to Generate Them. CoRR (2024)
Tianyu Gao, Zirui Wang, Adithya Bhaskar, Danqi Chen
Improving Language Understanding from Screenshots. CoRR (2024)
Howard Yen, Tianyu Gao, Danqi Chen
Long-Context Language Modeling with Parallel Context Encoding. ACL (1) (2024)
Mengzhou Xia, Sadhika Malladi, Suchin Gururangan, Sanjeev Arora, Danqi Chen
LESS: Selecting Influential Data for Targeted Instruction Tuning. CoRR (2024)
Yangsibo Huang, Samyak Gupta, Mengzhou Xia, Kai Li, Danqi Chen
Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation. ICLR (2024)
Anirudh Ajith, Mengzhou Xia, Alexis Chevalier, Tanya Goyal, Danqi Chen, Tianyu Gao
LitSearch: A Retrieval Benchmark for Scientific Literature Search. CoRR (2024)
Hongjin Su, Howard Yen, Mengzhou Xia, Weijia Shi, Niklas Muennighoff, Han-yu Wang, Haisu Liu, Quan Shi, Zachary S. Siegel, Michael Tang, Ruoxi Sun, Jinsung Yoon, Sercan Ö. Arik, Danqi Chen, Tao Yu
BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval. CoRR (2024)
Adithya Bhaskar, Dan Friedman, Danqi Chen
The Heuristic Core: Understanding Subnetwork Generalization in Pretrained Language Models. CoRR (2024)
Usman Anwar, Abulhair Saparov, Javier Rando, Daniel Paleka, Miles Turpin, Peter Hase, Ekdeep Singh Lubana, Erik Jenner, Stephen Casper, Oliver Sourbut, Benjamin L. Edelman, Zhaowei Zhang, Mario Günther, Anton Korinek, José Hernández-Orallo, Lewis Hammond, Eric J. Bigelow, Alexander Pan, Lauro Langosco, Tomasz Korbak, Heidi Zhang, Ruiqi Zhong, Seán Ó hÉigeartaigh, Gabriel Recchia, Giulio Corsi, Alan Chan, Markus Anderljung, Lilian Edwards, Yoshua Bengio, Danqi Chen, Samuel Albanie, Tegan Maharaj, Jakob N. Foerster, Florian Tramèr, He He, Atoosa Kasirzadeh, Yejin Choi, David Krueger
Foundational Challenges in Assuring Alignment and Safety of Large Language Models. CoRR (2024)
Akari Asai, Zexuan Zhong, Danqi Chen, Pang Wei Koh, Luke Zettlemoyer, Hannaneh Hajishirzi, Wen-tau Yih
Reliable, Adaptable, and Attributable Language Models with Retrieval. CoRR (2024)
Adithya Bhaskar, Alexander Wettig, Dan Friedman, Danqi Chen
Finding Transformer Circuits with Edge Pruning. CoRR (2024)
Alexis Chevalier, Jiayi Geng, Alexander Wettig, Howard Chen, Sebastian Mizera, Toni Annala, Max Jameson Aragon, Arturo Rodríguez Fanlo, Simon Frieder, Simon Machado, Akshara Prabhakar, Ellie Thieu, Jiachen T. Wang, Zirui Wang, Xindi Wu, Mengzhou Xia, Wenhan Jia, Jiatong Yu, Jun-Jie Zhu, Zhiyong Jason Ren, Sanjeev Arora, Danqi Chen
Language Models as Science Tutors. CoRR (2024)
Tinghao Xie, Xiangyu Qi, Yi Zeng, Yangsibo Huang, Udari Madhushani Sehwag, Kaixuan Huang, Luxi He, Boyi Wei, Dacheng Li, Ying Sheng, Ruoxi Jia, Bo Li, Kai Li, Danqi Chen, Peter Henderson, Prateek Mittal
SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal Behaviors. CoRR (2024)
Alexander Wettig, Aatmik Gupta, Saumya Malik, Danqi Chen
QuRating: Selecting High-Quality Data for Training Language Models. CoRR (2024)
Howard Yen, Tianyu Gao, Danqi Chen
Long-Context Language Modeling with Parallel Context Encoding. CoRR (2024)
Mengzhou Xia, Tianyu Gao, Zhiyuan Zeng, Danqi Chen
Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning. ICLR (2024)
Weijia Shi, Anirudh Ajith, Mengzhou Xia, Yangsibo Huang, Daogao Liu, Terra Blevins, Danqi Chen, Luke Zettlemoyer
Detecting Pretraining Data from Large Language Models. ICLR (2024)
Sadhika Malladi, Tianyu Gao, Eshaan Nichani, Alex Damian, Jason D. Lee, Danqi Chen, Sanjeev Arora
Fine-Tuning Language Models with Just Forward Passes. NeurIPS (2023)
Dan Friedman, Andrew Lampinen, Lucas Dixon, Danqi Chen, Asma Ghandeharioun
Interpretability Illusions in the Generalization of Simplified Models. CoRR (2023)
Dan Friedman, Alexander Wettig, Danqi Chen
Learning Transformer Programs. NeurIPS (2023)