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All SourcesarXiv
#tool-augmented LLMs

Scaling Multiagent Systems with Process Rewards

Intermediate
Ed Li, Junyu Ren et al.Jan 30arXiv

This paper teaches AI teams to get better by scoring every move they make, not just the final answer.

#multiagent reinforcement learning#process rewards#AI feedback

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

AgentEHR: Advancing Autonomous Clinical Decision-Making via Retrospective Summarization

Intermediate
Yusheng Liao, Chuan Xuan et al.Jan 20arXiv

AgentEHR is a new, realistic test that asks AI agents to read messy hospital records and make full clinical decisions, not just look up facts.

#AgentEHR#RETROSUM#retrospective summarization

LongVideoAgent: Multi-Agent Reasoning with Long Videos

Intermediate
Runtao Liu, Ziyi Liu et al.Dec 23arXiv

LongVideoAgent is a team of three AIs that work together to answer questions about hour‑long TV episodes without missing small details.

#long video question answering#multi-agent reasoning#temporal grounding