{"total":86,"rows":[{"id":"2405.21075","title":"Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis","created":"2024-05-31","cited_by_count":1413,"area":"mllm"},{"id":"2501.00574","title":"VideoChat-Flash: Hierarchical Compression for Long-Context Video Modeling","created":"2024-12-31","cited_by_count":220,"area":"mllm"},{"id":"2501.12386","title":"InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling","created":"2025-01-21","cited_by_count":211,"area":"mllm"},{"id":"2503.13377","title":"Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding","created":"2025-03-17","cited_by_count":146,"area":"mllm"},{"id":"2410.19702","title":"TimeSuite: Improving MLLMs for Long Video Understanding via Grounded Tuning","created":"2024-10-25","cited_by_count":106,"area":"mllm"},{"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":"2406.16338","title":"VideoHallucer: Evaluating Intrinsic and Extrinsic Hallucinations in Large Video-Language Models","created":"2024-06-24","cited_by_count":90,"area":"mllm"},{"id":"2410.05643","title":"TRACE: Temporal Grounding Video LLM via Causal Event Modeling","created":"2024-10-08","cited_by_count":89,"area":null},{"id":"2409.18111","title":"E.T. Bench: Towards Open-Ended Event-Level Video-Language Understanding","created":"2024-09-26","cited_by_count":70,"area":null},{"id":"2411.10332","title":"Number it: Temporal Grounding Videos like Flipping Manga","created":"2024-11-15","cited_by_count":65,"area":null},{"id":"2506.07464","title":"DeepVideo-R1: Video Reinforcement Fine-Tuning via Difficulty-aware Regressive GRPO","created":"2025-06-09","cited_by_count":61,"area":"lr"},{"id":"2501.08282","title":"LLaVA-ST: A Multimodal Large Language Model for Fine-Grained Spatial-Temporal Understanding","created":"2025-01-14","cited_by_count":59,"area":"mllm"},{"id":"2406.19392","title":"ReXTime: A Benchmark Suite for Reasoning-Across-Time in Videos","created":"2024-06-27","cited_by_count":51,"area":"lr"},{"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":"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":"2602.02994","title":"Video-OPD: Efficient Post-Training of Multimodal Large Language Models for Temporal Video Grounding via On-Policy Distillation","created":"2026-02-03","cited_by_count":36,"area":"lr"},{"id":"2412.19326","title":"Task Preference Optimization: Improving Multimodal Large Language Models with Vision Task Alignment","created":"2024-12-26","cited_by_count":29,"area":"mllm"},{"id":"2503.13983","title":"SpaceVLLM: Endowing Multimodal Large Language Model with Spatio-Temporal Video Grounding Capability","created":"2025-03-18","cited_by_count":28,"area":"mllm"},{"id":"2506.01908","title":"Reinforcement Learning Tuning for VideoLLMs: Reward Design and Data Efficiency","created":"2025-06-02","cited_by_count":26,"area":"lr"},{"id":"2511.05299","title":"LiveStar: Live Streaming Assistant for Real-World Online Video Understanding","created":"2025-11-07","cited_by_count":25,"area":null},{"id":"2503.19622","title":"Exploring Hallucination of Large Multimodal Models in Video Understanding: Benchmark, Analysis and Mitigation","created":"2025-03-25","cited_by_count":20,"area":"lr"},{"id":"2508.10922","title":"A Survey on Video Temporal Grounding with Multimodal Large Language Model","created":"2025-08-07","cited_by_count":20,"area":"mllm"},{"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":"2411.14901","title":"ReVisionLLM: Recursive Vision-Language Model for Temporal Grounding in Hour-Long Videos","created":"2024-11-22","cited_by_count":18,"area":"mllm"},{"id":"2412.09601","title":"TimeRefine: Temporal Grounding with Time Refining Video LLM","created":"2024-12-12","cited_by_count":15,"area":null},{"id":"2509.18056","title":"TempSamp-R1: Effective Temporal Sampling with Reinforcement Fine-Tuning for Video LLMs","created":"2025-09-22","cited_by_count":15,"area":"mllm"},{"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":"2508.01699","title":"TimeExpert: An Expert-Guided Video LLM for Video Temporal Grounding","created":"2025-08-03","cited_by_count":14,"area":"moe"},{"id":"2504.01020","title":"Shot-by-Shot: Film-Grammar-Aware Training-Free Audio Description Generation","created":"2025-04-01","cited_by_count":13,"area":null},{"id":"2411.16932","title":"Seq2Time: Sequential Knowledge Transfer for Video LLM Temporal Grounding","created":"2024-11-25","cited_by_count":12,"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":"2510.17023","title":"Enrich and Detect: Video Temporal Grounding with Multimodal LLMs","created":"2025-10-19","cited_by_count":12,"area":"mllm"},{"id":"2602.13191","title":"CoPE-VideoLM: Leveraging Codec Primitives For Efficient Video Language Modeling","created":"2026-02-13","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":"2507.04702","title":"Tempo-R0: A Video-MLLM for Temporal Video Grounding through Efficient Temporal Sensing Reinforcement Learning","created":"2025-07-07","cited_by_count":9,"area":null},{"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":"2512.03963","title":"TempR1: Improving Temporal Understanding of MLLMs via Temporal-Aware Multi-Task Reinforcement Learning","created":"2025-12-03","cited_by_count":8,"area":"mllm"},{"id":"2510.23397","title":"VideoTG-R1: Boosting Video Temporal Grounding via Curriculum Reinforcement Learning on Reflected Boundary Annotations","created":"2025-10-27","cited_by_count":7,"area":"lr"},{"id":"2512.09841","title":"ChronusOmni: Improving Time Awareness of Omni Large Language Models","created":"2025-12-10","cited_by_count":6,"area":null},{"id":"2503.12855","title":"VITED: Video Temporal Evidence Distillation","created":"2025-03-17","cited_by_count":5,"area":null},{"id":"2508.07683","title":"TAR: Temporal Anchor-Constrained Reasoning for Video Temporal Grounding","created":"2025-08-11","cited_by_count":5,"area":"lr"},{"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":"2601.07290","title":"VideoLoom: A Video Large Language Model for Joint Spatial-Temporal Understanding","created":"2026-01-12","cited_by_count":5,"area":null},{"id":"2506.18071","title":"MUPA: Towards Multi-Path Agentic Reasoning for Grounded Video Question Answering","created":"2025-06-22","cited_by_count":4,"area":"agents"},{"id":"2510.09274","title":"MomentSeg: Moment-Centric Sampling for Enhanced Video Pixel Understanding","created":"2025-10-10","cited_by_count":4,"area":"lr"},{"id":"2512.24097","title":"Factorized Learning for Temporally Grounded Video-Language Models","created":"2025-12-30","cited_by_count":4,"area":null},{"id":"2601.06559","title":"ArrowGEV: Grounding Events in Video via Learning the Arrow of Time","created":"2026-01-10","cited_by_count":4,"area":null},{"id":"2604.25276","title":"OmniVTG: A Large-Scale Dataset and Training Paradigm for Open-World Video Temporal Grounding","created":"2026-04-28","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":"2410.01180","title":"UAL-Bench: The First Comprehensive Unusual Activity Localization Benchmark","created":"2024-10-02","cited_by_count":3,"area":null},{"id":"2510.04428","title":"A.I.R.: Enabling Adaptive, Iterative, and Reasoning-based Frame Selection For Video Question Answering","created":"2025-10-06","cited_by_count":3,"area":"lr"},{"id":"2604.08014","title":"Bridging Time and Space: Decoupled Spatio-Temporal Alignment for Video Grounding","created":"2026-04-09","cited_by_count":3,"area":"mllm"},{"id":"2604.08966","title":"How Should Video LLMs Output Time? An Analysis of Efficient Temporal Grounding Paradigms","created":"2026-04-10","cited_by_count":3,"area":"mllm"},{"id":"2606.09248","title":"Temporal-Aware Reasoning Optimization for Video Temporal Grounding","created":"2026-06-08","cited_by_count":3,"area":"lr"},{"id":"2503.09027","title":"Measure Twice, Cut Once: A Semantic-Oriented Approach to Video Temporal Localization with Video LLMs","created":"2025-03-12","cited_by_count":2,"area":null},{"id":"2504.08384","title":"Towards Efficient and Robust Moment Retrieval System: A Unified Framework for Multi-Granularity Models and Temporal Reranking","created":"2025-04-11","cited_by_count":2,"area":null},{"id":"2508.04273","title":"Audio Does Matter: Importance-Aware Multi-Granularity Fusion for Video Moment Retrieval","created":"2025-08-06","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":"2512.10363","title":"Point to Span: Zero-Shot Moment Retrieval for Navigating Unseen Hour-Long Videos","created":"2025-12-11","cited_by_count":2,"area":null},{"id":"2606.17798","title":"LiveStarPro: Proactive Streaming Video Understanding with Hierarchical Memory for Long-Horizon Streams","created":"2026-06-16","cited_by_count":2,"area":"inference"},{"id":"2503.00049","title":"Omni-SILA: Towards Omni-scene Driven Visual Sentiment Identifying, Locating and Attributing in Videos","created":"2025-02-26","cited_by_count":1,"area":null},{"id":"2512.06673","title":"Detector-Empowered Video Large Language Model for Efficient Spatio-Temporal Grounding","created":"2025-12-07","cited_by_count":1,"area":"mllm"},{"id":"2602.05215","title":"E.M.Ground: A Temporal Grounding Vid-LLM with Holistic Event Perception and Matching","created":"2026-02-05","cited_by_count":1,"area":null},{"id":"2603.06973","title":"T2SGrid: Temporal-to-Spatial Gridification for Video Temporal Grounding","created":"2026-03-07","cited_by_count":1,"area":null},{"id":"2603.25733","title":"SlotVTG: Object-Centric Adapter for Generalizable Video Temporal Grounding","created":"2026-03-26","cited_by_count":1,"area":"mllm"},{"id":"2604.02093","title":"GroundVTS: Visual Token Sampling in Multimodal Large Language Models for Video Temporal Grounding","created":"2026-04-02","cited_by_count":1,"area":"mllm"},{"id":"2604.12148","title":"ViLL-E: Video LLM Embeddings for Retrieval","created":"2026-04-13","cited_by_count":1,"area":null},{"id":"2605.21973","title":"Foresee-to-Ground: From Predictive Temporal Perception to Evidence-Driven Reasoning for Video Temporal Grounding","created":"2026-05-21","cited_by_count":1,"area":"lr"},{"id":"2605.26104","title":"EVIDENT: Routing MLLM Adaptation through Entity-Grounded Visual Evidence for Cross-Domain Video Temporal Grounding","created":"2026-05-25","cited_by_count":1,"area":null},{"id":"2605.31598","title":"Linear Scaling Video VLMs for Long Video Understanding","created":"2026-05-29","cited_by_count":1,"area":"mllm"},{"id":"2606.05758","title":"DRIFT: A Residual Flow Adapter for Decoding Continuous Outputs in Vision-Language Models","created":"2026-06-04","cited_by_count":1,"area":"mllm"},{"id":"2606.06991","title":"Don't Pause: Streaming Video-Language Synchrony for Online Video Understanding","created":"2026-06-05","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":"2510.08138","title":"Understanding Temporal Logic Consistency in Video-Language Models through Cross-Modal Attention Discriminability","created":"2025-10-09","cited_by_count":0,"area":null},{"id":"2602.08996","title":"Generalizing Sports Feedback Generation by Watching Competitions and Reading Books: A Rock Climbing Case Study","created":"2026-02-09","cited_by_count":0,"area":"lr"},{"id":"2604.02860","title":"A Paradigm Shift: Fully End-to-End Training for Temporal Sentence Grounding in Videos","created":"2026-04-03","cited_by_count":0,"area":null},{"id":"2604.08522","title":"UniversalVTG: A Universal and Lightweight Foundation Model for Video Temporal Grounding","created":"2026-04-09","cited_by_count":0,"area":null},{"id":"2607.05089","title":"TimeThink: Reasoning with Time for Video LLMs","created":"2026-07-06","cited_by_count":0,"area":"lr"},{"id":"2608.08315","title":"Your VLM Already Knows When: Training-Free Temporal Grounding by Asking Yes or No","created":"2026-08-08","cited_by_count":0,"area":"mllm"},{"id":"2608.28675","title":"Multi-Agent Self-Improving Reinforcement Learning for Video Reasoning","created":"2026-08-25","cited_by_count":0,"area":null},{"id":"2609.34598","title":"Summarize Before Grounding: Query-Guided Chunk Condensation for Long-Video Temporal Grounding","created":"2026-09-28","cited_by_count":0,"area":null},{"id":"2609.40055","title":"Less Data, Better Timing: Student-Curriculum Coupling for VLM On-Policy Distillation in Temporal Video Grounding","created":"2026-09-30","cited_by_count":0,"area":"mllm"},{"id":"2610.06342","title":"MeSD: Multi-Evidence Self-Distillation for VideoLLM","created":"2026-10-05","cited_by_count":0,"area":"distill"},{"id":"2610.07601","title":"Beyond Scalar IoU: Structured Verification from Rollout Groups for Video Temporal Grounding","created":"2026-10-06","cited_by_count":0,"area":null}],"next_cursor":null}