30 citations · 85 across the 13 of their papers we have counts for
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cs.CL2024★ 6 cited
ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery
Ziru Chen, Shijie Chen, Yuting Ning +17
The advancements of large language models (LLMs) have piqued growing interest in developing LLM-based language agents to automate scientific discovery end-to-end, which has sparked…
cs.CL2024★ 1 cited
Grokked Transformers are Implicit Reasoners: A Mechanistic Journey to the Edge of Generalization
Boshi Wang, Xiang Yue, Yu Su +1
We study whether transformers can learn to implicitly reason over parametric knowledge, a skill that even the most capable language models struggle with. Focusing on two representa…
cs.CL2024★ 1 cited
LLMs in the Imaginarium: Tool Learning through Simulated Trial and Error
Boshi Wang, Hao Fang, Jason Eisner +2
Tools are essential for large language models (LLMs) to acquire up-to-date information and take consequential actions in external environments. Existing work on tool-augmented LLMs…