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#human-in-the-loop

Towards Reducible Uncertainty Modeling for Reliable Large Language Model Agents

Intermediate
Changdae Oh, Seongheon Park et al.Feb 4arXiv

This paper says we should measure an AI agent’s uncertainty across its whole conversation, not just on one final answer.

#uncertainty quantification#LLM agents#interactive AI

Paper2Rebuttal: A Multi-Agent Framework for Transparent Author Response Assistance

Intermediate
Qianli Ma, Chang Guo et al.Jan 20arXiv

This paper turns rebuttal writing from ‘just write some text’ into ‘make a plan with proof, then write.’

#rebuttal generation#multi-agent systems#evidence-centric planning