TOUCHDOWN: Natural Language Navigation and Spatial Reasoning in Visual Street Environments. - Howard Chen 003; Alane Suhr; Dipendra Misra; Noah Snavely; Yoav Artzi (CVPR, 2019)

Interactive Classification by Asking Informative Questions. - Lili Yu; Howard Chen 003; Sida I. Wang; Tao Lei 001; Yoav Artzi (ACL, 2020)

Autoregressive Knowledge Distillation through Imitation Learning. - Alexander Lin; Jeremy Wohlwend; Howard Chen 003; Tao Lei 001 (EMNLP (1), 2020)

Action-Based Conversations Dataset: A Corpus for Building More In-Depth Task-Oriented Dialogue Systems. - Derek Chen; Howard Chen 003; Yi Yang 001; Alexander Lin; Zhou Yu 001 (NAACL-HLT, 2021)

Non-Parametric Few-Shot Learning for Word Sense Disambiguation. - Howard Chen 003; Mengzhou Xia; Danqi Chen 001 (NAACL-HLT, 2021)

Action-Based Conversations Dataset: A Corpus for Building More In-Depth Task-Oriented Dialogue Systems. - Derek Chen; Howard Chen 003; Yi Yang 001; Alex Lin; Zhou Yu 001 (CoRR, 2021)

Can Rationalization Improve Robustness? - Howard Chen 003; Jacqueline He; Karthik Narasimhan; Danqi Chen 001 (NAACL-HLT, 2022)

WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents. - Shunyu Yao; Howard Chen 003; John Yang 002; Karthik Narasimhan (NeurIPS, 2022)

Controllable Text Generation with Language Constraints. - Howard Chen 003; Huihan Li 001; Danqi Chen 001; Karthik Narasimhan (CoRR, 2022)

What In-Context Learning "Learns" In-Context: Disentangling Task Recognition and Task Learning. - Jane Pan; Tianyu Gao 001; Howard Chen 003; Danqi Chen 001 (ACL (Findings), 2023)

C-STS: Conditional Semantic Textual Similarity. - Ameet Deshpande; Carlos E. Jimenez; Howard Chen 003; Vishvak Murahari; Victoria Graf; Tanmay Rajpurohit; Ashwin Kalyan; Danqi Chen 001; Karthik Narasimhan (EMNLP, 2023)

CSTS: Conditional Semantic Textual Similarity. - Ameet Deshpande; Carlos E. Jimenez; Howard Chen 003; Vishvak Murahari; Victoria Graf; Tanmay Rajpurohit; Ashwin Kalyan; Danqi Chen 001; Karthik Narasimhan (CoRR, 2023)

Walking Down the Memory Maze: Beyond Context Limit through Interactive Reading. - Howard Chen 003; Ramakanth Pasunuru; Jason Weston; Asli Celikyilmaz (CoRR, 2023)

COLLIE: Systematic Construction of Constrained Text Generation Tasks. - Shunyu Yao; Howard Chen 003; Austin W. Hanjie; Runzhe Yang; Karthik R. Narasimhan (ICLR, 2024)

Language Models as Science Tutors. - Alexis Chevalier; Jiayi Geng; Alexander Wettig; Howard Chen 003; Sebastian Mizera; Toni Annala; Max Jameson Aragon; Arturo Rodríguez Fanlo; Simon Frieder; Simon Machado; Akshara Prabhakar; Ellie Thieu; et al. (ICML, 2024)

CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs. - Zirui Wang; Mengzhou Xia; Luxi He; Howard Chen 003; Yitao Liu; Richard Zhu; Kaiqu Liang; Xindi Wu; Haotian Liu; Sadhika Malladi; Alexis Chevalier; Sanjeev Arora; et al. (NeurIPS, 2024)

Language Models as Science Tutors. - Alexis Chevalier; Jiayi Geng; Alexander Wettig; Howard Chen 003; Sebastian Mizera; Toni Annala; Max Jameson Aragon; Arturo Rodríguez Fanlo; Simon Frieder; Simon Machado; Akshara Prabhakar; Ellie Thieu; et al. (CoRR, 2024)

Continual Memorization of Factoids in Large Language Models. - Howard Chen 003; Jiayi Geng; Adithya Bhaskar; Dan Friedman; Danqi Chen 001 (CoRR, 2024)

Are Large Language Models Reliable AI Scientists? Assessing Reverse-Engineering of Black-Box Systems. - Jiayi Geng; Howard Chen 003; Dilip Arumugam; Thomas L. Griffiths 001 (CoRR, 2025)