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2020 – today
- 2024
[c4]Jiahai Feng, Jacob Steinhardt:
How do Language Models Bind Entities in Context? ICLR 2024- [c3]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 - [i5]Jiahai Feng, Stuart Russell, Jacob Steinhardt:
Monitoring Latent World States in Language Models with Propositional Probes. CoRR abs/2406.19501 (2024) - 2023
- [i4]Jiahai Feng, Jacob Steinhardt:
How do Language Models Bind Entities in Context? CoRR abs/2310.17191 (2023) - [i3]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 abs/2312.08566 (2023) - 2022
- [c2]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 - [i2]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 abs/2205.05718 (2022) - 2020
- [c1]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 - [i1]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 abs/2006.10782 (2020)
Coauthor Index
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