6 citations · 18 across the 9 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
When is Tree Search Useful for LLM Planning? It Depends on the Discriminator
Ziru Chen, Michael White, Raymond Mooney +3
In this paper, we examine how large language models (LLMs) solve multi-step problems under a language agent framework with three components: a generator, a discriminator, and a pla…
cs.CL2024★ 4 cited
eCeLLM: Generalizing Large Language Models for E-commerce from Large-scale, High-quality Instruction Data
Bo Peng, Xinyi Ling, Ziru Chen +2
With tremendous efforts on developing effective e-commerce models, conventional e-commerce models show limited success in generalist e-commerce modeling, and suffer from unsatisfac…