: A Tool-Augmented Multi-Agent Framework for Long Visual Document Understanding
Dawei Zhu, Rui Meng, Jie-Feng Chen et al.
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PaperBanana-Interact: Scientific Diagram Refinement with Multi-Turn Human Feedback
MTPaperBananaBench, a benchmark for multi-turn diagram generation containing 292 images annotated with 3,518 user requirements, is presented and PaperBanana-Interact, a multi-agent system that refines diagrams via an internal critique-and-refine loop is introduced.
Xue-Qing Wu, Ashwin Balasubramanian, Bing-Xuan Li et al.
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PersonaForge: Realistic Multi-Turn User Simulation for Agentic Systems
This work introduces PersonaForge, a user simulation framework for synthesizing realistic multi-turn user--agent interactions that combines a four-dimensional persona space, SOUL-driven behavioral control calibrated to real-user statistics, and Reverse Deep Construction grounded in authentic seed queries.
Hanglong Lv, Dawei Zhu, Lei Li et al.
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