2 papers
cs.CL2026
Uncovering the Fragility of Trustworthy LLMs through Chinese Textual Ambiguity
Xinwei Wu, Haojie Li, Hongyu Liu +4
In this work, we study a critical research problem regarding the trustworthiness of large language models (LLMs): how LLMs behave when encountering ambiguous narrative text, with a…
cs.AI2025
\(X\)-evolve: Solution space evolution powered by large language models
Yi Zhai, Zhiqiang Wei, Ruohan Li +7
While combining large language models (LLMs) with evolutionary algorithms (EAs) shows promise for solving complex optimization problems, current approaches typically evolve individ…