Papers with specialist agents

2 papers
Coding Agents with Multimodal Browsing are Generalist Problem Solvers (2026.findings-eacl)

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Challenge: specialized AI agents with task-specific tools or architectures fail to generalize beyond their intended scope.
Approach: They propose a single-agent system with a modest number of general tools . they propose to generalize across software engineering, deep research and web browsing .
Outcome: The proposed system achieves superior or competitive performance over specialized agents on three benchmarks.
SEMA-RAG: A Self-Evolving Multi-Agent Retrieval-Augmented Generation Framework for Medical Reasoning (2026.findings-acl)

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Challenge: Standard RAG frameworks treat retrieval as a static, single-round auxiliary step . compressed workflow makes it difficult to form reliable evidence chains .
Approach: They propose a framework that decouples tasks and allows for dynamic multi-round exploration . they propose retrieval-augmented generation (RAG) to mitigate hallucinations and knowledge obsolescence .
Outcome: The proposed framework improves the strongest baseline by *+6.46* accuracy points on average across five benchmarks and five LLM backbones.

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