{"total":75,"rows":[{"id":"2312.17235","title":"A Simple LLM Framework for Long-Range Video Question-Answering","created":"2023-12-28","cited_by_count":178,"area":null},{"id":"2405.16009","title":"Streaming Long Video Understanding with Large Language Models","created":"2024-05-25","cited_by_count":167,"area":null},{"id":"2411.04998","title":"HourVideo: 1-Hour Video-Language Understanding","created":"2024-11-07","cited_by_count":113,"area":null},{"id":"2502.04144","title":"HD-EPIC: A Highly-Detailed Egocentric Video Dataset","created":"2025-02-06","cited_by_count":104,"area":null},{"id":"2410.03290","title":"Grounded-VideoLLM: Sharpening Fine-grained Temporal Grounding in Video Large Language Models","created":"2024-10-04","cited_by_count":91,"area":null},{"id":"2403.10228","title":"HawkEye: Training Video-Text LLMs for Grounding Text in Videos","created":"2024-03-15","cited_by_count":86,"area":null},{"id":"2410.03226","title":"Frame-Voyager: Learning to Query Frames for Video Large Language Models","created":"2024-10-04","cited_by_count":83,"area":null},{"id":"2404.17176","title":"MovieChat+: Question-aware Sparse Memory for Long Video Question Answering","created":"2024-04-26","cited_by_count":73,"area":null},{"id":"2403.14622","title":"Language Repository for Long Video Understanding","created":"2024-03-21","cited_by_count":55,"area":null},{"id":"2411.17991","title":"VideoLLM Knows When to Speak: Enhancing Time-Sensitive Video Comprehension with Video-Text Duet Interaction Format","created":"2024-11-27","cited_by_count":47,"area":null},{"id":"2403.00436","title":"Abductive Ego-View Accident Video Understanding for Safe Driving Perception","created":"2024-03-01","cited_by_count":43,"area":null},{"id":"2501.02885","title":"MDP3: A Training-free Approach for List-wise Frame Selection in Video-LLMs","created":"2025-01-06","cited_by_count":43,"area":null},{"id":"2408.04223","title":"VideoQA in the Era of LLMs: An Empirical Study","created":"2024-08-08","cited_by_count":29,"area":null},{"id":"2506.03642","title":"Spatial Understanding from Videos: Structured Prompts Meet Simulation Data","created":"2025-06-04","cited_by_count":28,"area":null},{"id":"2509.03883","title":"Human Motion Video Generation: A Survey","created":"2025-09-04","cited_by_count":25,"area":null},{"id":"2312.02219","title":"Behind the Magic, MERLIM: Multi-modal Evaluation Benchmark for Large Image-Language Models","created":"2023-12-03","cited_by_count":23,"area":null},{"id":"2507.18342","title":"EgoExoBench: A Benchmark for First- and Third-person View Video Understanding in MLLMs","created":"2025-07-24","cited_by_count":23,"area":null},{"id":"2412.05185","title":"LinVT: Empower Your Image-level Large Language Model to Understand Videos","created":"2024-12-06","cited_by_count":19,"area":null},{"id":"2504.13915","title":"Memory-efficient Streaming VideoLLMs for Real-time Procedural Video Understanding","created":"2025-04-10","cited_by_count":19,"area":null},{"id":"2411.12951","title":"On the Consistency of Video Large Language Models in Temporal Comprehension","created":"2024-11-20","cited_by_count":18,"area":null},{"id":"2509.08621","title":"AdsQA: Towards Advertisement Video Understanding","created":"2025-09-10","cited_by_count":13,"area":null},{"id":"2503.07635","title":"Cross-modal Causal Relation Alignment for Video Question Grounding","created":"2025-03-05","cited_by_count":12,"area":null},{"id":"2503.21770","title":"Visual Jenga: Discovering Object Dependencies via Counterfactual Inpainting","created":"2025-03-27","cited_by_count":11,"area":null},{"id":"2504.01407","title":"ZoomV: Temporal Zoom-in for Efficient Long Video Understanding","created":"2025-04-02","cited_by_count":10,"area":null},{"id":"2504.07519","title":"VideoExpert: Augmented LLM for Temporal-Sensitive Video Understanding","created":"2025-04-10","cited_by_count":9,"area":null},{"id":"2511.17952","title":"Multi-speaker Attention Alignment for Multimodal Social Interaction","created":"2025-11-22","cited_by_count":9,"area":null},{"id":"2506.09445","title":"TOGA: Temporally Grounded Open-Ended Video QA with Weak Supervision","created":"2025-06-11","cited_by_count":8,"area":null},{"id":"2512.14273","title":"Zoom-Zero: Reinforced Coarse-to-Fine Video Understanding via Temporal Zoom-in","created":"2025-12-16","cited_by_count":8,"area":null},{"id":"2411.13626","title":"Principles of Visual Tokens for Efficient Video Understanding","created":"2024-11-20","cited_by_count":7,"area":null},{"id":"2505.24329","title":"DisTime: Distribution-based Time Representation for Video Large Language Models","created":"2025-05-30","cited_by_count":7,"area":null},{"id":"2412.01132","title":"Eyes on the Road: State-of-the-Art Video Question Answering Models Assessment for Traffic Monitoring Tasks","created":"2024-12-02","cited_by_count":6,"area":null},{"id":"2512.14017","title":"KFS-Bench: Comprehensive Evaluation of Key Frame Sampling in Long Video Understanding","created":"2025-12-16","cited_by_count":6,"area":null},{"id":"2409.14319","title":"Scene-Text Grounding for Text-Based Video Question Answering","created":"2024-09-22","cited_by_count":5,"area":null},{"id":"2509.26360","title":"TimeScope: Towards Task-Oriented Temporal Grounding In Long Videos","created":"2025-09-30","cited_by_count":5,"area":null},{"id":"2510.26113","title":"EgoExo-Con: Exploring View-Invariant Video Temporal Understanding","created":"2025-10-30","cited_by_count":5,"area":null},{"id":"2505.17090","title":"EmoSign: A Multimodal Dataset for Understanding Emotions in American Sign Language","created":"2025-05-20","cited_by_count":4,"area":null},{"id":"2507.14784","title":"LeAdQA: LLM-Driven Context-Aware Temporal Grounding for Video Question Answering","created":"2025-07-20","cited_by_count":4,"area":null},{"id":"2509.19245","title":"ConViS-Bench: Estimating Video Similarity Through Semantic Concepts","created":"2025-09-23","cited_by_count":4,"area":null},{"id":"2512.14870","title":"HERBench: A Benchmark for Multi-Evidence Integration in Video Question Answering","created":"2025-12-16","cited_by_count":4,"area":null},{"id":"2512.24097","title":"Factorized Learning for Temporally Grounded Video-Language Models","created":"2025-12-30","cited_by_count":4,"area":null},{"id":"2605.13803","title":"EvoGround: Self-Evolving Video Agents for Video Temporal Grounding","created":"2026-05-13","cited_by_count":4,"area":null},{"id":"2506.07811","title":"Looking Beyond Visible Cues: Implicit Video Question Answering via Dual-Clue Reasoning","created":"2025-06-09","cited_by_count":3,"area":null},{"id":"2506.13095","title":"Learning Event Completeness for Weakly Supervised Video Anomaly Detection","created":"2025-06-16","cited_by_count":3,"area":null},{"id":"2510.14904","title":"CaptionFormer: Unified Segmentation, Tracking, and Captioning for Spatio-Temporal Objects","created":"2025-10-16","cited_by_count":3,"area":null},{"id":"2602.23823","title":"APPO: Attention-guided Perception Policy Optimization for Video Reasoning","created":"2026-02-27","cited_by_count":3,"area":null},{"id":"2603.00550","title":"Weakly Supervised Video Anomaly Detection with Anomaly-Connected Components and Intention Reasoning","created":"2026-02-28","cited_by_count":3,"area":null},{"id":"2505.06557","title":"Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining","created":"2025-05-10","cited_by_count":2,"area":null},{"id":"2508.15641","title":"Diffusion-grounded VideoLLM for Entity-aware temoporal grounding","created":"2025-08-21","cited_by_count":2,"area":null},{"id":"2606.23436","title":"Rethinking Object-Centric Representations for Video Dynamics Modeling","created":"2026-06-22","cited_by_count":2,"area":null},{"id":"2607.02689","title":"S-EMBER: A Large-Scale Benchmark for Streaming Egocentric Memory Retrieval","created":"2026-07-02","cited_by_count":2,"area":null},{"id":"2607.11862","title":"Evidence-Backed Video Question Answering","created":"2026-07-13","cited_by_count":2,"area":null},{"id":"2608.22516","title":"TRACE: Temporal Retrieval with Anchored and Convergent Evidence for Long-Horizon Video Understanding","created":"2026-08-23","cited_by_count":2,"area":null},{"id":"2505.19853","title":"Two Causally Related Needles in a Video Haystack","created":"2025-05-26","cited_by_count":1,"area":null},{"id":"2512.03479","title":"ProcObject-10K: Benchmarking Object-Centric Procedural Understanding in Instructional Videos","created":"2025-12-03","cited_by_count":1,"area":null},{"id":"2602.11244","title":"Stress Tests REVEAL Fragile Temporal and Visual Grounding in Video-Language Models","created":"2026-02-11","cited_by_count":1,"area":null},{"id":"2603.17930","title":"Interpretable Traffic Responsibility from Dashcam Video via Legal Multi Agent Reasoning","created":"2026-03-18","cited_by_count":1,"area":null},{"id":"2603.18453","title":"Learning Consistent Temporal Grounding between Related Tasks in Sports Coaching","created":"2026-03-19","cited_by_count":1,"area":null},{"id":"2604.14692","title":"Chain-of-Glimpse: Search-Guided Progressive Object-Grounded Reasoning for Video Understanding","created":"2026-04-16","cited_by_count":1,"area":null},{"id":"2604.21873","title":"Grounding Video Reasoning in Physical Signals","created":"2026-04-23","cited_by_count":1,"area":null},{"id":"2605.14607","title":"ViMU: Benchmarking Video Metaphorical Understanding","created":"2026-05-14","cited_by_count":1,"area":null},{"id":"2606.24797","title":"EG-VQA: Benchmarking Verifiable Video Question Answering with Grounded Temporal Evidence","created":"2026-06-23","cited_by_count":1,"area":null},{"id":"2607.05090","title":"Be Indiscrete: The Benefits of Learning Continuous Spine Degeneration Severity Scores","created":"2026-07-06","cited_by_count":1,"area":null},{"id":"2409.01389","title":"CV-Probes: Studying the interplay of lexical and world knowledge in visually grounded verb understanding","created":"2024-09-02","cited_by_count":0,"area":null},{"id":"2412.09230","title":"Foundation Models and Adaptive Feature Selection: A Synergistic Approach to Video Question Answering","created":"2024-12-12","cited_by_count":0,"area":null},{"id":"2606.09181","title":"Counterfactual Reasoning for Fine-Grained Evidence Disentanglement in VideoQA","created":"2026-06-08","cited_by_count":0,"area":null},{"id":"2607.06402","title":"What Images Cannot Say: Language-Guided Olfactory Representation Learning","created":"2026-07-07","cited_by_count":0,"area":null},{"id":"2607.11078","title":"Do Video-LLMs Actually Watch? Diagnosing Character-Tracking Failures in Long-Form Video","created":"2026-07-13","cited_by_count":0,"area":null},{"id":"2608.15708","title":"What You Ask is What You Ground: Bridging Question Intent to Temporal Evidence for Grounded VideoQA","created":"2026-08-16","cited_by_count":0,"area":null},{"id":"2608.28675","title":"Multi-Agent Self-Improving Reinforcement Learning for Video Reasoning","created":"2026-08-25","cited_by_count":0,"area":null},{"id":"2609.00996","title":"Does This Moment Justify the Recommendation? Counterfactual Behavior-Grounded Evidence Retrieval for Personalized Video Recommendation","created":"2026-09-01","cited_by_count":0,"area":null},{"id":"2609.13258","title":"Interpretable Temporal Video Reasoning with EventGraph and EventField","created":"2026-09-06","cited_by_count":0,"area":null},{"id":"2609.13288","title":"Target-Checked Reliability Score Refinement for Video Question Answering","created":"2026-09-09","cited_by_count":0,"area":null},{"id":"2609.20508","title":"Grounded Product Understanding in Livestream Videos","created":"2026-09-17","cited_by_count":0,"area":null},{"id":"2610.02976","title":"Relevant Evidence Decoding for Audio-Visual Hallucination Mitigation","created":"2026-10-02","cited_by_count":0,"area":null},{"id":"2610.13636","title":"Benchmarking Answer-Grounding Consistency in Remote Sensing Visual Question Answering","created":"2026-10-09","cited_by_count":0,"area":null}],"next_cursor":null}