{"total":41,"rows":[{"id":"2508.11630","title":"Thyme: Think Beyond Images","created":"2025-08-15","cited_by_count":167,"area":"lr"},{"id":"2505.17862","title":"Daily-Omni: Towards Audio-Visual Reasoning with Temporal Alignment across Modalities","created":"2025-05-23","cited_by_count":110,"area":"lr"},{"id":"2503.02318","title":"Audio-Reasoner: Improving Reasoning Capability in Large Audio Language Models","created":"2025-03-04","cited_by_count":95,"area":"lr"},{"id":"2507.07966","title":"Scaling RL to Long Videos","created":"2025-07-10","cited_by_count":84,"area":"lr"},{"id":"2510.10689","title":"OmniVideoBench: Towards Audio-Visual Understanding Evaluation for Omni MLLMs","created":"2025-10-12","cited_by_count":59,"area":"lr"},{"id":"2506.21277","title":"HumanOmniV2: From Understanding to Omni-Modal Reasoning with Context","created":"2025-06-26","cited_by_count":55,"area":"lr"},{"id":"2509.24304","title":"FrameThinker: Learning to Think with Long Videos via Multi-Turn Frame Spotlighting","created":"2025-09-29","cited_by_count":42,"area":"lr"},{"id":"2503.13360","title":"Mitigating Visual Forgetting via Take-along Visual Conditioning for Multi-modal Long CoT Reasoning","created":"2025-03-17","cited_by_count":32,"area":"lr"},{"id":"2505.24714","title":"FinMME: Benchmark Dataset for Financial Multi-Modal Reasoning Evaluation","created":"2025-05-30","cited_by_count":30,"area":"lr"},{"id":"2504.03641","title":"MME-Unify: A Comprehensive Benchmark for Unified Multimodal Understanding and Generation Models","created":"2025-04-04","cited_by_count":24,"area":"lr"},{"id":"2505.02064","title":"RTV-Bench: Benchmarking MLLM Continuous Perception, Understanding and Reasoning through Real-Time Video","created":"2025-05-04","cited_by_count":21,"area":"lr"},{"id":"2512.12772","title":"JointAVBench: A Benchmark for Joint Audio-Visual Reasoning Evaluation","created":"2025-12-14","cited_by_count":17,"area":"lr"},{"id":"2603.01455","title":"From Verbatim to Gist: Distilling Pyramidal Multimodal Memory via Semantic Information Bottleneck for Long-Horizon Video Agents","created":"2026-03-02","cited_by_count":15,"area":"lr"},{"id":"2505.24164","title":"Mixed-R1: Unified Reward Perspective For Reasoning Capability in Multimodal Large Language Models","created":"2025-05-30","cited_by_count":13,"area":"lr"},{"id":"2508.01181","title":"Benchmarking and Bridging Emotion Conflicts for Multimodal Emotion Reasoning","created":"2025-08-02","cited_by_count":12,"area":"lr"},{"id":"2507.07424","title":"Corvid: Improving Multimodal Large Language Models Towards Chain-of-Thought Reasoning","created":"2025-07-10","cited_by_count":11,"area":"lr"},{"id":"2602.05847","title":"OmniVideo-R1: Reinforcing Audio-visual Reasoning with Query Intention and Modality Attention","created":"2026-02-05","cited_by_count":11,"area":"lr"},{"id":"2508.10576","title":"HumanSense: From Multimodal Perception to Empathetic Context-Aware Responses through Reasoning MLLMs","created":"2025-08-14","cited_by_count":9,"area":"lr"},{"id":"2508.07470","title":"AURA: A Fine-Grained Benchmark and Decomposed Metric for Audio-Visual Reasoning","created":"2025-08-10","cited_by_count":8,"area":"lr"},{"id":"2512.01707","title":"StreamGaze: Gaze-Guided Temporal Reasoning and Proactive Understanding in Streaming Videos","created":"2025-12-01","cited_by_count":8,"area":"lr"},{"id":"2606.14702","title":"OmniVideo-100K: A Dataset for Audio-Visual Reasoning through Structured Scripts and Evidence Chains","created":"2026-06-12","cited_by_count":8,"area":"lr"},{"id":"2512.02306","title":"OmniGuard: Unified Omni-Modal Guardrails with Deliberate Reasoning","created":"2025-12-02","cited_by_count":7,"area":"lr"},{"id":"2602.23306","title":"ThinkOmni: Lifting Textual Reasoning to Omni-modal Scenarios via Guidance Decoding","created":"2026-02-26","cited_by_count":7,"area":"lr"},{"id":"2605.22012","title":"LatentOmni: Rethinking Omni-Modal Understanding via Unified Audio-Visual Latent Reasoning","created":"2026-05-21","cited_by_count":7,"area":"lr"},{"id":"2505.24182","title":"Seeing is Not Reasoning: MVPBench for Graph-based Evaluation of Multi-path Visual Physical CoT","created":"2025-05-30","cited_by_count":6,"area":"lr"},{"id":"2603.22918","title":"EVA: Efficient Reinforcement Learning for End-to-End Video Agent","created":"2026-03-24","cited_by_count":6,"area":"lr"},{"id":"2512.12756","title":"FysicsWorld: A Unified Full-Modality Benchmark for Any-to-Any Understanding, Generation, and Reasoning","created":"2025-12-14","cited_by_count":5,"area":"lr"},{"id":"2602.07054","title":"AVERE: Improving Audiovisual Emotion Reasoning with Preference Optimization","created":"2026-02-04","cited_by_count":4,"area":"lr"},{"id":"2510.08987","title":"Towards Efficient Multimodal Unified Reasoning Model via Model Merging","created":"2025-10-10","cited_by_count":3,"area":"lr"},{"id":"2607.19339","title":"OmniReasoner: Thinking with Long Audio-Video via Native Tool Use","created":"2026-07-21","cited_by_count":3,"area":"lr"},{"id":"2605.03276","title":"VEBench:Benchmarking Large Multimodal Models for Real-World Video Editing","created":"2026-05-05","cited_by_count":2,"area":"lr"},{"id":"2509.15800","title":"ChronoForge-RL: Chronological Forging through Reinforcement Learning for Enhanced Video Understanding","created":"2025-09-19","cited_by_count":1,"area":"lr"},{"id":"2602.01884","title":"Entropy-Guided Data-Efficient Training for Multimodal Reasoning Reward Models","created":"2026-02-02","cited_by_count":1,"area":"lr"},{"id":"2605.01278","title":"Valley3: Scaling Omni Foundation Models for E-commerce","created":"2026-05-02","cited_by_count":1,"area":"lr"},{"id":"2606.12018","title":"MODF-SIR: A Multi-agent Omni-modal Distilled Framework for Social Intelligence Reasoning","created":"2026-06-10","cited_by_count":1,"area":"lr"},{"id":"2607.23445","title":"Omni-Prune: Query-Aware Unified Token Pruning for Efficient Omnimodal Large Language Models","created":"2026-07-26","cited_by_count":1,"area":"lr"},{"id":"2509.18200","title":"Conversational Orientation Reasoning: Egocentric-to-Allocentric Navigation with Multimodal Chain-of-Thought","created":"2025-09-20","cited_by_count":0,"area":"lr"},{"id":"2606.14591","title":"AudioDER: A Deduplication-Enhanced Reasoning Dataset for Post-Training Large Audio-Language Models","created":"2026-06-12","cited_by_count":0,"area":"lr"},{"id":"2608.26193","title":"AffectOmni: RL-Verifiable People-Centric Grounded Affective Reasoning for Social and Art-Related Scenes","created":"2026-08-24","cited_by_count":0,"area":"lr"},{"id":"2609.17248","title":"Video-HolmesV2: Can MLLMs Reason with Spatio-Temporal Audio-Visual Evidence in Long Videos?","created":"2026-09-15","cited_by_count":0,"area":"lr"},{"id":"2610.12458","title":"OmniCapBench: A Deep-Structured Evaluation Framework for Fine-Grained Audio-Visual Captioning","created":"2026-10-08","cited_by_count":0,"area":"lr"}],"next_cursor":null}