Jiahai Feng

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 9

Top Topics

Symbolic Regression

Reasoning Tasks

Language Models For Information Retrieval

Top Venues

Publications

Jiahai Feng, Jacob Steinhardt
How do Language Models Bind Entities in Context? ICLR (2024)
Jiahai Feng, Stuart Russell, Jacob Steinhardt
Monitoring Latent World States in Language Models with Propositional Probes. CoRR (2024)
Lionel Wong, Jiayuan Mao, Pratyusha Sharma, Zachary S. Siegel, Jiahai Feng, Noa Korneev, Joshua B. Tenenbaum, Jacob Andreas
Learning Grounded Action Abstractions from Language. ICLR (2024)
Jiahai Feng, Jacob Steinhardt
How do Language Models Bind Entities in Context? CoRR (2023)
Lionel Wong, Jiayuan Mao, Pratyusha Sharma, Zachary S. Siegel, Jiahai Feng, Noa Korneev, Joshua B. Tenenbaum, Jacob Andreas
Learning adaptive planning representations with natural language guidance. CoRR (2023)
Katherine M. Collins, Catherine Wong, Jiahai Feng, Megan Wei, Josh Tenenbaum
Structured, flexible, and robust: benchmarking and improving large language models towards more human-like behavior in out-of-distribution reasoning tasks. CogSci (2022)
Katherine M. Collins, Catherine Wong, Jiahai Feng, Megan Wei, Joshua B. Tenenbaum
Structured, flexible, and robust: benchmarking and improving large language models towards more human-like behavior in out-of-distribution reasoning tasks. CoRR (2022)
Silviu-Marian Udrescu, Andrew K. Tan, Jiahai Feng, Orisvaldo Neto, Tailin Wu, Max Tegmark
AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity. NeurIPS (2020)
Silviu-Marian Udrescu, Andrew K. Tan, Jiahai Feng, Orisvaldo Neto, Tailin Wu, Max Tegmark
AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity. CoRR (2020)