Anagent For Enhancing Scientific Table & Figure Analysis

The paper introduces Anagent, a multi‑agent framework designed to improve scientific table and figure analysis. It comprises four specialized agents—Planner, Expert, Solver, and Critic—that collaboratively decompose tasks, retrieve information, synthesize analyses, and refine outputs. The authors also present AnaBench, a large benchmark of 63,178 instances across nine domains, and demonstrate that Anagent yields significant performance gains, up to 13.43% without fine‑tuning and 42.12% with fine‑tuning, highlighting the importance of task‑oriented reasoning and context‑aware problem solving.

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• agents
• reinforcement-learning
• fine-tuning
• multimodal
• benchmarks