{"total":20,"rows":[{"id":"2412.18424","title":"LongDocURL: a Comprehensive Multimodal Long Document Benchmark Integrating Understanding, Reasoning, and Locating","created":"2024-12-24","cited_by_count":72,"area":"lr"},{"id":"2507.09477","title":"Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs","created":"2025-07-13","cited_by_count":42,"area":"lr"},{"id":"2502.14864","title":"Benchmarking Multimodal RAG through a Chart-based Document Question-Answering Generation Framework","created":"2025-02-20","cited_by_count":8,"area":"lr"},{"id":"2604.14799","title":"Knowing When Not to Answer: Evaluating Abstention in Multimodal Reasoning Systems","created":"2026-04-16","cited_by_count":7,"area":"lr"},{"id":"2605.14054","title":"Bad Seeing or Bad Thinking? Rewarding Perception for Multimodal Reasoning","created":"2026-05-13","cited_by_count":7,"area":"lr"},{"id":"2505.12766","title":"Reasoning-OCR: Can Large Multimodal Models Solve Complex Logical Reasoning Problems from OCR Cues?","created":"2025-05-19","cited_by_count":6,"area":"lr"},{"id":"2503.16856","title":"MMCR: Benchmarking Cross-Source Reasoning in Scientific Papers","created":"2025-03-21","cited_by_count":5,"area":"lr"},{"id":"2606.06538","title":"WorldBench: A Challenging and Visually Diverse Multimodal Reasoning Benchmark","created":"2026-06-04","cited_by_count":4,"area":"lr"},{"id":"2601.10108","title":"SIN-Bench: Tracing Native Evidence Chains in Long-Context Multimodal Scientific Interleaved Literature","created":"2026-01-15","cited_by_count":3,"area":"lr"},{"id":"2602.05570","title":"TangramSR: Can Vision-Language Models Reason in Continuous Geometric Space?","created":"2026-02-05","cited_by_count":3,"area":"lr"},{"id":"2603.05697","title":"MultiHaystack: Benchmarking Multimodal Retrieval and Reasoning over 40K Images, Videos, and Documents","created":"2026-03-05","cited_by_count":3,"area":"lr"},{"id":"2510.25668","title":"ALDEN: Reinforcement Learning for Active Navigation and Evidence Gathering in Long Documents","created":"2025-10-29","cited_by_count":2,"area":"lr"},{"id":"2511.11313","title":"DocSLM: A Small Vision-Language Model for Long Multimodal Document Understanding","created":"2025-11-14","cited_by_count":2,"area":"lr"},{"id":"2608.25618","title":"AWM: Answerable Working Memory for Long-Document VQA Agents","created":"2026-08-26","cited_by_count":2,"area":"lr"},{"id":"2603.13091","title":"Reasoning over Video: Evaluating How MLLMs Extract, Integrate, and Reconstruct Spatiotemporal Evidence","created":"2026-03-13","cited_by_count":1,"area":"lr"},{"id":"2606.29399","title":"LLM-Guided Planning for Multi-hop Reasoning over Multimodal Nuclear Regulatory Documents","created":"2026-06-28","cited_by_count":0,"area":"lr"},{"id":"2606.29648","title":"Hybrid Retriever Evolution for Multimodal Document Reasoning Agents","created":"2026-06-28","cited_by_count":0,"area":"lr"},{"id":"2609.13158","title":"TestHallVQA: Exploring LVLMs' Document-Level Reasoning under Redundant Contexts from Scientific Exams","created":"2026-07-15","cited_by_count":0,"area":"lr"},{"id":"2609.14066","title":"GraMRAG: Orchestrating Multi-Agent Multi-Step Reasoning via Graph Memory with Reinforcement Learning","created":"2026-09-12","cited_by_count":0,"area":"lr"},{"id":"2610.19341","title":"MMKG-R1: Constructing Multimodal Knowledge Graphs via Reinforcement Learning","created":"2026-10-14","cited_by_count":0,"area":"lr"}],"next_cursor":null}