Charlie Snell - RankMe

23 papers A* 4B 1Journal 17Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Composer 2 Technical Report. CoRR Aaron Chan, Ahmed Shalaby, Alexander Wettig, Aman Sanger, Andrew Zhai, Anurag Ajay, Ashvin Nair, Charlie Snell, Chen Lu, Chen Shen, Emily Jia, Federico Cassano, Hanpeng Liu, Haoyu Chen, Henry Wildermuth, Jacob Jackson, Janet Li, Jediah Katz, Jiajun Yao, Joey Hejna, Josh Warner, Julius Vering, Kevin Frans, Lee Danilek, Less Wright, Lujing Cen, Luke Melas-Kyriazi, Michael Truell, Michiel de Jong, Naman Jain, Nate Schmidt, Nathan Wang, Niklas Muennighoff, Oleg Rybkin, Paul Loh, Phillip Kravtsov, Rishabh Yadav, Sahil Shah, Sam Kottler, Alexander M. Rush, Shengtong Zhang, Shomil Jain, Sriram Sankar, Stefan Heule, Stuart H. Sul, Sualeh Asif, Victor Rong, Wanqi Zhu, William Lin, Yuchen Wu, Yuri Volkov, Yury Zemlyanskiy, Zack Holbrook, Zhiyuan Zhang
2025	J	`jnl`	Learning Adaptive Parallel Reasoning with Language Models. CoRR Jiayi Pan, Xiuyu Li, Long Lian, Charlie Snell, Yifei Zhou, Adam Yala, Trevor Darrell, Kurt Keutzer, Alane Suhr
2025	J	`jnl`	Reasoning Models Can Be Effective Without Thinking. CoRR Wenjie Ma, Jingxuan He, Charlie Snell, Tyler Griggs, Sewon Min, Matei Zaharia
2025	J	`jnl`	Sleep-time Compute: Beyond Inference Scaling at Test-time. CoRR Kevin Lin, Charlie Snell, Yu Wang, Charles Packer, Sarah Wooders, Ion Stoica, Joseph E. Gonzalez
2025	J	`jnl`	Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Thought. CoRR Violet Xiang, Charlie Snell, Kanishk Gandhi, Alon Albalak, Anikait Singh, Chase Blagden, Duy Phung, Rafael Rafailov, Nathan Lile, Dakota Mahan, Louis Castricato, Jan-Philipp Fränken, Nick Haber, Chelsea Finn
2025	J	`jnl`	Value-Based Deep RL Scales Predictably. CoRR Oleh Rybkin, Michal Nauman, Preston Fu, Charlie Snell, Pieter Abbeel, Sergey Levine, Aviral Kumar
2025	J	`jnl`	e3: Learning to Explore Enables Extrapolation of Test-Time Compute for LLMs. CoRR Amrith Setlur, Matthew Y. R. Yang, Charlie Snell, Jeremy Greer, Ian Wu, Virginia Smith, Max Simchowitz, Aviral Kumar
2024	J	`jnl`	Predicting Emergent Capabilities by Finetuning. CoRR Charlie Snell, Eric Wallace, Dan Klein, Sergey Levine
2024	J	`jnl`	Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters. CoRR Charlie Snell, Jaehoon Lee, Kelvin Xu, Aviral Kumar
2024	A*	`conf`	The False Promise of Imitating Proprietary Language Models. ICLR Arnav Gudibande, Eric Wallace, Charlie Snell, Xinyang Geng, Hao Liu, Pieter Abbeel, Sergey Levine, Dawn Song
2023	J	`jnl`	LMRL Gym: Benchmarks for Multi-Turn Reinforcement Learning with Language Models. CoRR Marwa Abdulhai, Isadora White, Charlie Snell, Charles Sun, Joey Hong, Yuexiang Zhai, Kelvin Xu, Sergey Levine
2023	A*	`conf`	Non-Programmers Can Label Programs Indirectly via Active Examples: A Case Study with Text-to-SQL. EMNLP Ruiqi Zhong, Charlie Snell, Dan Klein, Jason Eisner
2023	A*	`conf`	Offline RL for Natural Language Generation with Implicit Language Q Learning. ICLR Charlie Snell, Ilya Kostrikov, Yi Su, Sherry Yang, Sergey Levine
2023	J	`jnl`	The False Promise of Imitating Proprietary LLMs. CoRR Arnav Gudibande, Eric Wallace, Charlie Snell, Xinyang Geng, Hao Liu, Pieter Abbeel, Sergey Levine, Dawn Song
2022	J	`jnl`	Active Programming by Example with a Natural Language Prior. CoRR Ruiqi Zhong, Charlie Snell, Dan Klein, Jason Eisner
2022	—	`conf`	Context-Aware Language Modeling for Goal-Oriented Dialogue Systems. NAACL-HLT (Findings) Charlie Snell, Sherry Yang, Justin Fu, Yi Su, Sergey Levine
2022	J	`jnl`	Context-Aware Language Modeling for Goal-Oriented Dialogue Systems. CoRR Charlie Snell, Mengjiao Yang, Justin Fu, Yi Su, Sergey Levine
2022	A*	`conf`	Describing Differences between Text Distributions with Natural Language. ICML Ruiqi Zhong, Charlie Snell, Dan Klein, Jacob Steinhardt
2022	J	`jnl`	Learning by Distilling Context. CoRR Charlie Snell, Dan Klein, Ruiqi Zhong
2022	J	`jnl`	Offline RL for Natural Language Generation with Implicit Language Q Learning. CoRR Charlie Snell, Ilya Kostrikov, Yi Su, Mengjiao Yang, Sergey Levine
2022	J	`jnl`	Summarizing Differences between Text Distributions with Natural Language. CoRR Ruiqi Zhong, Charlie Snell, Dan Klein, Jacob Steinhardt
2021	J	`jnl`	Approximating How Single Head Attention Learns. CoRR Charlie Snell, Ruiqi Zhong, Dan Klein, Jacob Steinhardt
2021	B	`conf`	The Omniglot Jr. challenge; Can a model achieve child-level character generation and classification? CogSci Eliza Kosoy, Masha Belyi, Charlie Snell, Brenden M. Lake, Josh Tenenbaum, Alison Gopnik