Howard Chen - RankMe

31 papers A* 7Journal 19Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Accumulating Context Changes the Beliefs of Language Models. CoRR Jiayi Geng, Howard Chen, Ryan Liu, Manoel Horta Ribeiro, Robb Willer, Graham Neubig, Thomas L. Griffiths
2025	J	`jnl`	Are Large Language Models Reliable AI Scientists? Assessing Reverse-Engineering of Black-Box Systems. CoRR Jiayi Geng, Howard Chen, Dilip Arumugam, Thomas L. Griffiths
2025	J	`jnl`	Retaining by Doing: The Role of On-Policy Data in Mitigating Forgetting. CoRR Howard Chen, Noam Razin, Karthik Narasimhan, Danqi Chen
2025	J	`jnl`	Statutory Construction and Interpretation for Artificial Intelligence. CoRR Luxi He, Nimra Nadeem, Michel Liao, Howard Chen, Danqi Chen, Mariano-Florentino Cuellar, Peter Henderson
2024	A*	`conf`	COLLIE: Systematic Construction of Constrained Text Generation Tasks. ICLR Shunyu Yao, Howard Chen, Austin W. Hanjie, Runzhe Yang, Karthik R. Narasimhan
2024	A*	`conf`	CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs. NeurIPS 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
2024	J	`jnl`	CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs. CoRR 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
2024	J	`jnl`	Continual Memorization of Factoids in Large Language Models. CoRR Howard Chen, Jiayi Geng, Adithya Bhaskar, Dan Friedman, Danqi Chen
2024	A*	`conf`	Language Models as Science Tutors. ICML 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 Xia, Jiatong Yu, Junjie Zhu, Zhiyong Jason Ren, Sanjeev Arora, Danqi Chen
2024	J	`jnl`	Language Models as Science Tutors. CoRR 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
2023	A*	`conf`	C-STS: Conditional Semantic Textual Similarity. EMNLP Ameet Deshpande, Carlos E. Jimenez, Howard Chen, Vishvak Murahari, Victoria Graf, Tanmay Rajpurohit, Ashwin Kalyan, Danqi Chen, Karthik Narasimhan
2023	J	`jnl`	COLLIE: Systematic Construction of Constrained Text Generation Tasks. CoRR Shunyu Yao, Howard Chen, Austin W. Hanjie, Runzhe Yang, Karthik Narasimhan
2023	J	`jnl`	CSTS: Conditional Semantic Textual Similarity. CoRR Ameet Deshpande, Carlos E. Jimenez, Howard Chen, Vishvak Murahari, Victoria Graf, Tanmay Rajpurohit, Ashwin Kalyan, Danqi Chen, Karthik Narasimhan
2023	J	`jnl`	Walking Down the Memory Maze: Beyond Context Limit through Interactive Reading. CoRR Howard Chen, Ramakanth Pasunuru, Jason Weston, Asli Celikyilmaz
2023	—	`conf`	What In-Context Learning "Learns" In-Context: Disentangling Task Recognition and Task Learning. ACL (Findings) Jane Pan, Tianyu Gao, Howard Chen, Danqi Chen
2023	J	`jnl`	What In-Context Learning "Learns" In-Context: Disentangling Task Recognition and Task Learning. CoRR Jane Pan, Tianyu Gao, Howard Chen, Danqi Chen
2022	—	`conf`	Can Rationalization Improve Robustness? NAACL-HLT Howard Chen, Jacqueline He, Karthik Narasimhan, Danqi Chen
2022	J	`jnl`	Can Rationalization Improve Robustness? CoRR Howard Chen, Jacqueline He, Karthik Narasimhan, Danqi Chen
2022	J	`jnl`	Controllable Text Generation with Language Constraints. CoRR Howard Chen, Huihan Li, Danqi Chen, Karthik Narasimhan
2022	A*	`conf`	WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents. NeurIPS Shunyu Yao, Howard Chen, John Yang, Karthik Narasimhan
2022	J	`jnl`	WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents. CoRR Shunyu Yao, Howard Chen, John Yang, Karthik Narasimhan
2021	—	`conf`	Action-Based Conversations Dataset: A Corpus for Building More In-Depth Task-Oriented Dialogue Systems. NAACL-HLT Derek Chen, Howard Chen, Yi Yang, Alexander Lin, Zhou Yu
2021	J	`jnl`	Action-Based Conversations Dataset: A Corpus for Building More In-Depth Task-Oriented Dialogue Systems. CoRR Derek Chen, Howard Chen, Yi Yang, Alex Lin, Zhou Yu
2021	—	`conf`	Non-Parametric Few-Shot Learning for Word Sense Disambiguation. NAACL-HLT Howard Chen, Mengzhou Xia, Danqi Chen
2021	J	`jnl`	Non-Parametric Few-Shot Learning for Word Sense Disambiguation. CoRR Howard Chen, Mengzhou Xia, Danqi Chen
2020	—	`conf`	Autoregressive Knowledge Distillation through Imitation Learning. EMNLP (1) Alexander Lin, Jeremy Wohlwend, Howard Chen, Tao Lei
2020	J	`jnl`	Autoregressive Knowledge Distillation through Imitation Learning. CoRR Alexander Lin, Jeremy Wohlwend, Howard Chen, Tao Lei
2020	A*	`conf`	Interactive Classification by Asking Informative Questions. ACL Lili Yu, Howard Chen, Sida I. Wang, Tao Lei, Yoav Artzi
2019	J	`jnl`	Interactive Classification by Asking Informative Questions. CoRR Lili Yu, Howard Chen, Sida Wang, Yoav Artzi, Tao Lei
2019	A*	`conf`	TOUCHDOWN: Natural Language Navigation and Spatial Reasoning in Visual Street Environments. CVPR Howard Chen, Alane Suhr, Dipendra Misra, Noah Snavely, Yoav Artzi
2018	J	`jnl`	Touchdown: Natural Language Navigation and Spatial Reasoning in Visual Street Environments. CoRR Howard Chen, Alane Suhr, Dipendra Kumar Misra, Noah Snavely, Yoav Artzi