TAEC: Trajectory-Aware Evidence Coordination for Multi-Step Visual RAG

arXiv:2609.37349 · cs.CV, cs.AI · Submitted 2026-09-29 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-09-29

Updated: 2026-09-29

Terminology

• Accuracy — 77× in this paper · explained in 1 episode
• RAG — 49× in this paper · explained in 3 episodes
• Benchmark — 39× in this paper · explained in 2 episodes
• Ablation — 8× in this paper · explained in 1 episode
• Redundancy — 7× in this paper · explained in 2 episodes
• Verifier — 7× in this paper · explained in 2 episodes
• Trajectory-Aware Evidence Coordination — 6× in this paper
• Trace — 4× in this paper · explained in 2 episodes
• Training-Free Framework — 3× in this paper · explained in 2 episodes
• Grounding — 2× in this paper · explained in 3 episodes
• Multi-Agent Framework — 2× in this paper · explained in 3 episodes
• Reinforcement Learning — 2× in this paper · explained in 4 episodes
• Retrieval-Augmented Generation (RAG) — 2× in this paper · explained in 16 episodes
• Adaptive Graph — 1× in this paper · explained in 1 episode
• Agentic System — 1× in this paper · explained in 2 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Information Gain — 1× in this paper · explained in 2 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Iterative Refinement — 1× in this paper · explained in 3 episodes
• Provenance — 1× in this paper · explained in 4 episodes
• Steering — 1× in this paper · explained in 2 episodes
• Vector Representations — 1× in this paper · explained in 2 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• FAIR-RAG: Faithful Adaptive Iterative Refinement for Retrieval-Augmented Generation
• Multi-Step Visual Reasoning with Visual Tokens Scaling and Verification
• M3DocRAG: Multi-modal Retrieval is What You Need for Multi-page Multi-document Understanding
• MG$^2$-RAG: Multi-Granularity Graph for Multimodal Retrieval-Augmented Generation
• From Local to Global: A Graph RAG Approach to Query-Focused Summarization
• MMLongBench-Doc: Benchmarking Long-context Document Understanding with Visualizations
• MemGPT: Towards LLMs as Operating Systems
• VISOR: Agentic Visual Retrieval-Augmented Generation via Iterative Search and Over-horizon Reasoning
• VimRAG: Navigating Massive Visual Context in Retrieval-Augmented Generation via Multimodal Memory Graph
• Hierarchical Evidence-Driven Reasoning for Long Document Understanding
• Corrective Retrieval Augmented Generation
• MMAgent-R$^2$: Learning to Rerank and Reject for Agentic mRAG
• MAGE-RAG: Multigranular Adaptive Graph Evidence for Agentic Multimodal RAG in Long-Document QA

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