3 papers
cs.CL2026
RoadMapper: A Multi-Agent System for Roadmap Generation of Solving Complex Research Problems
Jiacheng Liu, Zichen Tang, Zhongjun Yang +8
People commonly leverage structured content to accelerate knowledge acquisition and research problem solving. Among these, roadmaps guide researchers through hierarchical subtasks…
cs.AI2026
Evaluate-as-Action: Self-Evaluated Process Rewards for Retrieval-Augmented Agents
Jiangming Shu, Yuxiang Zhang, Ye Ma +2
Retrieval-augmented agents can query external evidence, yet their reliability in multi-step reasoning remains limited: noisy retrieval may derail multi-hop question answering, whil…
cs.CV2025
FinMMDocR: Benchmarking Financial Multimodal Reasoning with Scenario Awareness, Document Understanding, and Multi-Step Computation
Zichen Tang, Haihong E, Rongjin Li +18
We introduce FinMMDocR, a novel bilingual multimodal benchmark for evaluating multimodal large language models (MLLMs) on real-world financial numerical reasoning. Compared to exis…