Papers17

#multi-agent systems

TCAndon-Router: Adaptive Reasoning Router for Multi-Agent Collaboration

Jiuzhou Zhao, Chunrong Chen et al.Jan 8arXiv

Multi-agent systems are like teams of expert helpers; the tricky part is choosing which helpers to ask for each question.

#multi-agent systems#routing#reasoning chain

Digital Twin AI: Opportunities and Challenges from Large Language Models to World Models

Intermediate

Rong Zhou, Dongping Chen et al.Jan 4arXiv

A digital twin is a living computer copy of a real thing (like a bridge, a heart, or a factory) that stays in sync with sensors and helps us predict, fix, and improve the real thing.

#digital twin#physics-informed AI#neural operators

InSight-o3: Empowering Multimodal Foundation Models with Generalized Visual Search

Intermediate

Kaican Li, Lewei Yao et al.Dec 21arXiv

This paper builds a tough new test called O3-BENCH to check if AI can truly think with images, not just spot objects.

#multimodal reasoning#generalized visual search#reinforcement learning

SWE-EVO: Benchmarking Coding Agents in Long-Horizon Software Evolution Scenarios

Intermediate

Minh V. T. Thai, Tue Le et al.Dec 20arXiv

SWE-EVO is a new test (benchmark) that checks if AI coding agents can upgrade real software projects over many steps, not just fix one small bug.

#SWE-EVO#software evolution#coding agents

Reinventing Clinical Dialogue: Agentic Paradigms for LLM Enabled Healthcare Communication

Intermediate

Xiaoquan Zhi, Hongke Zhao et al.Dec 1arXiv

Clinical conversations are special because they mix caring feelings with precise medical facts, and old AI systems struggled to do both at once.

#clinical dialogue#agentic AI#large language models

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