2 papers
cs.CL2026
Easier to Mislead Than to Correct: Harmful and Beneficial Revision in LLM Conformity
Jiaming Qu, Lucheng Fu, Yibo Hu
Large language models are increasingly used in multi-agent systems, where they see and respond to other agents' answers. A key risk is conformity: a model may abandon its own answe…
cs.CL2025
Beyond Magic Words: Sharpness-Aware Prompt Evolving for Robust Large Language Models with TARE
Guancheng Wan, Lucheng Fu, Haoxin Liu +10
The performance of Large Language Models (LLMs) hinges on carefully engineered prompts. However, prevailing prompt optimization methods, ranging from heuristic edits and reinforcem…