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cs.AI2024
Are Your LLMs Capable of Stable Reasoning?
Junnan Liu, Hongwei Liu, Linchen Xiao +6
The rapid advancement of large language models (LLMs) has shown remarkable progress in complex reasoning tasks. However, a significant disparity exists between benchmark performanc…
cs.CL2024★ 1 cited
CIBench: Evaluating Your LLMs with a Code Interpreter Plugin
Chuyu Zhang, Songyang Zhang, Yingfan Hu +8
While LLM-Based agents, which use external tools to solve complex problems, have made significant progress, benchmarking their ability is challenging, thereby hindering a clear und…
cs.CL2024★ 2 cited
GTA: A Benchmark for General Tool Agents
Jize Wang, Zerun Ma, Yining Li +4
Significant focus has been placed on integrating large language models (LLMs) with various tools in developing general-purpose agents. This poses a challenge to LLMs' tool-use capa…