AINeutralarXiv – CS AI · 7h ago6/10
🧠
Uncertainty-Aware Clarification in LLM Agents with Information Gain
Researchers propose an uncertainty-aware clarification framework for LLM agents that uses Information Gain Rewards to optimize clarification questions when user instructions are ambiguous. The method improves task success rates by 3.7% while minimally increasing interaction steps, addressing a critical limitation in autonomous AI systems operating under incomplete information.