{"total":38,"rows":[{"id":"2411.10440","title":"LLaVA-CoT: Let Vision Language Models Reason Step-by-Step","created":"2024-11-15","cited_by_count":454,"area":"lr"},{"id":"2405.19209","title":"VideoTree: Adaptive Tree-based Video Representation for LLM Reasoning on Long Videos","created":"2024-05-29","cited_by_count":251,"area":"lr"},{"id":"2407.11325","title":"VISA: Reasoning Video Object Segmentation via Large Language Models","created":"2024-07-16","cited_by_count":127,"area":"lr"},{"id":"2409.19603","title":"One Token to Seg Them All: Language Instructed Reasoning Segmentation in Videos","created":"2024-09-29","cited_by_count":100,"area":"lr"},{"id":"2403.18406","title":"An Image Grid Can Be Worth a Video: Zero-shot Video Question Answering Using a VLM","created":"2024-03-27","cited_by_count":97,"area":"lr"},{"id":"2401.10529","title":"Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences","created":"2024-01-19","cited_by_count":94,"area":"lr"},{"id":"2507.07966","title":"Scaling RL to Long Videos","created":"2025-07-10","cited_by_count":84,"area":"lr"},{"id":"2411.14794","title":"VideoEspresso: A Large-Scale Chain-of-Thought Dataset for Fine-Grained Video Reasoning via Core Frame Selection","created":"2024-11-22","cited_by_count":65,"area":"lr"},{"id":"2503.13444","title":"VideoMind: A Chain-of-LoRA Agent for Temporal-Grounded Video Reasoning","created":"2025-03-17","cited_by_count":43,"area":"lr"},{"id":"2505.11049","title":"GuardReasoner-VL: Safeguarding VLMs via Reinforced Reasoning","created":"2025-05-16","cited_by_count":42,"area":"lr"},{"id":"2410.06166","title":"Temporal Reasoning Transfer from Text to Video","created":"2024-10-08","cited_by_count":38,"area":"lr"},{"id":"2501.08549","title":"The Devil is in Temporal Token: High Quality Video Reasoning Segmentation","created":"2025-01-15","cited_by_count":26,"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":"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":"2505.01583","title":"TEMPURA: Temporal Event Masked Prediction and Understanding for Reasoning in Action","created":"2025-05-02","cited_by_count":14,"area":"lr"},{"id":"2501.01426","title":"Unifying Specialized Visual Encoders for Video Language Models","created":"2025-01-02","cited_by_count":10,"area":"lr"},{"id":"2607.24904","title":"Mage-VL: An Efficient Codec-Native Streaming Multimodal Foundation Model","created":"2026-07-27","cited_by_count":10,"area":"lr"},{"id":"2409.00304","title":"StimuVAR: Spatiotemporal Stimuli-aware Video Affective Reasoning with Multimodal Large Language Models","created":"2024-08-31","cited_by_count":8,"area":"lr"},{"id":"2507.09491","title":"GLIMPSE: Do Large Vision-Language Models Truly Think With Videos or Just Glimpse at Them?","created":"2025-07-13","cited_by_count":8,"area":"lr"},{"id":"2510.05034","title":"Video-LMM Post-Training: A Deep Dive into Video Reasoning with Large Multimodal Models","created":"2025-10-06","cited_by_count":8,"area":"lr"},{"id":"2503.09158","title":"FaVChat: Hierarchical Prompt-Query Guided Facial Video Understanding with Data-Efficient GRPO","created":"2025-03-12","cited_by_count":6,"area":"lr"},{"id":"2602.17555","title":"GraphThinker: Reinforcing Temporally Grounded Video Reasoning with Event Graph Thinking","created":"2026-02-19","cited_by_count":5,"area":"lr"},{"id":"2510.09274","title":"MomentSeg: Moment-Centric Sampling for Enhanced Video Pixel Understanding","created":"2025-10-10","cited_by_count":4,"area":"lr"},{"id":"2512.09354","title":"Video-QTR: Query-Driven Temporal Reasoning Framework for Lightweight Video Understanding","created":"2025-12-10","cited_by_count":4,"area":"lr"},{"id":"2608.20492","title":"Annotations as Rollouts: Efficient and Scalable Reinforcement Learning for Video MLLMs","created":"2026-08-20","cited_by_count":4,"area":"lr"},{"id":"2506.22880","title":"Decoupled Seg Tokens Make Stronger Reasoning Video Segmenter and Grounder","created":"2025-06-28","cited_by_count":2,"area":"lr"},{"id":"2510.16442","title":"EDVD-LLaMA: Explainable Deepfake Video Detection via Multimodal Large Language Model Reasoning","created":"2025-10-18","cited_by_count":2,"area":"lr"},{"id":"2510.19592","title":"Decomposed Attention Fusion in MLLMs for Training-Free Video Reasoning Segmentation","created":"2025-10-22","cited_by_count":2,"area":"lr"},{"id":"2607.01737","title":"ReQuest: Rethinking-based Question-Aware Frame Selection for Long-Form Video QA","created":"2026-07-02","cited_by_count":2,"area":"lr"},{"id":"2603.26365","title":"Dynamic Token Compression for Efficient Video Understanding through Reinforcement Learning","created":"2026-03-27","cited_by_count":1,"area":"lr"},{"id":"2603.27060","title":"VIRST: Video-Instructed Reasoning Assistant for SpatioTemporal Segmentation","created":"2026-03-28","cited_by_count":1,"area":"lr"},{"id":"2607.21013","title":"EmoAgent-R1: Towards Multimodal Emotion Understanding with Reinforcement Learning-based Dynamic Agent Specialization","created":"2026-07-23","cited_by_count":1,"area":"lr"},{"id":"2506.11558","title":"DaMO: A Data-Efficient Multimodal Orchestrator for Temporal Reasoning with Video LLMs","created":"2025-06-13","cited_by_count":0,"area":"lr"},{"id":"2511.12368","title":"Fast Reasoning Segmentation for Images and Videos","created":"2025-11-15","cited_by_count":0,"area":"lr"},{"id":"2602.21435","title":"Synergizing Understanding and Generation with Interleaved Analyzing-Drafting Thinking","created":"2026-02-24","cited_by_count":0,"area":"lr"},{"id":"2603.27960","title":"Towards Efficient Large Vision-Language Models: A Comprehensive Survey on Inference Strategies","created":"2026-03-30","cited_by_count":0,"area":"lr"},{"id":"2606.25585","title":"FeVOS: Foresight Expression Video Object Segmentation","created":"2026-06-24","cited_by_count":0,"area":"lr"},{"id":"2609.35394","title":"Rethinking Visual Token Compression for Video Large Language Models: A Simple Yet Strong Baseline","created":"2026-09-28","cited_by_count":0,"area":"lr"}],"next_cursor":null}