Jiahai Feng - RankMe

14 papers A* 5B 2Journal 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Learning a Generative Meta-Model of LLM Activations. CoRR Grace Luo, Jiahai Feng, Trevor Darrell, Alec Radford, Jacob Steinhardt
2025	B	`conf`	Cognitively Inspired Interpretability in Large Neural Networks. CogSci Anna Leshinskaya, Taylor W. Webb, Ellie Pavlick, Jiahai Feng, Gustaw Opielka, Claire E. Stevenson, Idan A. Blank
2025	A*	`conf`	Extractive Structures Learned in Pretraining Enable Generalization on Finetuned Facts. ICML Jiahai Feng, Stuart Russell, Jacob Steinhardt
2025	A*	`conf`	Monitoring Latent World States in Language Models with Propositional Probes. ICLR Jiahai Feng, Stuart Russell, Jacob Steinhardt
2024	J	`jnl`	Extractive Structures Learned in Pretraining Enable Generalization on Finetuned Facts. CoRR Jiahai Feng, Stuart Russell, Jacob Steinhardt
2024	A*	`conf`	How do Language Models Bind Entities in Context? ICLR Jiahai Feng, Jacob Steinhardt
2024	A*	`conf`	Learning Grounded Action Abstractions from Language. ICLR Lionel Wong, Jiayuan Mao, Pratyusha Sharma, Zachary S. Siegel, Jiahai Feng, Noa Korneev, Joshua B. Tenenbaum, Jacob Andreas
2024	J	`jnl`	Monitoring Latent World States in Language Models with Propositional Probes. CoRR Jiahai Feng, Stuart Russell, Jacob Steinhardt
2023	J	`jnl`	How do Language Models Bind Entities in Context? CoRR Jiahai Feng, Jacob Steinhardt
2023	J	`jnl`	Learning adaptive planning representations with natural language guidance. CoRR Lionel Wong, Jiayuan Mao, Pratyusha Sharma, Zachary S. Siegel, Jiahai Feng, Noa Korneev, Joshua B. Tenenbaum, Jacob Andreas
2022	B	`conf`	Structured, flexible, and robust: benchmarking and improving large language models towards more human-like behavior in out-of-distribution reasoning tasks. CogSci Katherine M. Collins, Catherine Wong, Jiahai Feng, Megan Wei, Josh Tenenbaum
2022	J	`jnl`	Structured, flexible, and robust: benchmarking and improving large language models towards more human-like behavior in out-of-distribution reasoning tasks. CoRR Katherine M. Collins, Catherine Wong, Jiahai Feng, Megan Wei, Joshua B. Tenenbaum
2020	A*	`conf`	AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity. NeurIPS Silviu-Marian Udrescu, Andrew K. Tan, Jiahai Feng, Orisvaldo Neto, Tailin Wu, Max Tegmark
2020	J	`jnl`	AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity. CoRR Silviu-Marian Udrescu, Andrew K. Tan, Jiahai Feng, Orisvaldo Neto, Tailin Wu, Max Tegmark