{"total":40,"rows":[{"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":"2502.04326","title":"WorldSense: Evaluating Real-world Omnimodal Understanding for Multimodal LLMs","created":"2025-02-06","cited_by_count":155,"area":"mllm"},{"id":"2501.01428","title":"GPT4Scene: Understand 3D Scenes from Videos with Vision-Language Models","created":"2025-01-02","cited_by_count":109,"area":"mllm"},{"id":"2412.03735","title":"VidHalluc: Evaluating Temporal Hallucinations in Multimodal Large Language Models for Video Understanding","created":"2024-12-04","cited_by_count":68,"area":"mllm"},{"id":"2504.15271","title":"Eagle 2.5: Boosting Long-Context Post-Training for Frontier Vision-Language Models","created":"2025-04-21","cited_by_count":64,"area":"mllm"},{"id":"2503.06157","title":"UrbanVideo-Bench: Benchmarking Vision-Language Models on Embodied Intelligence with Video Data in Urban Spaces","created":"2025-03-08","cited_by_count":36,"area":"mllm"},{"id":"2503.11579","title":"Vamba: Understanding Hour-Long Videos with Hybrid Mamba-Transformers","created":"2025-03-14","cited_by_count":36,"area":"mllm"},{"id":"2505.11842","title":"Video-SafetyBench: A Benchmark for Safety Evaluation of Video LVLMs","created":"2025-05-17","cited_by_count":28,"area":"mllm"},{"id":"2506.05332","title":"Unleashing Hour-Scale Video Training for Long Video-Language Understanding","created":"2025-06-05","cited_by_count":23,"area":"mllm"},{"id":"2505.14640","title":"VideoEval-Pro: Robust and Realistic Long Video Understanding Evaluation","created":"2025-05-20","cited_by_count":21,"area":"mllm"},{"id":"2503.12496","title":"Does Your Vision-Language Model Get Lost in the Long Video Sampling Dilemma?","created":"2025-03-16","cited_by_count":20,"area":"mllm"},{"id":"2506.03922","title":"HSSBench: Benchmarking Humanities and Social Sciences Ability for Multimodal Large Language Models","created":"2025-06-04","cited_by_count":17,"area":"mllm"},{"id":"2504.15280","title":"Seeing from Another Perspective: Evaluating Multi-View Understanding in MLLMs","created":"2025-04-21","cited_by_count":16,"area":"mllm"},{"id":"2503.17736","title":"V2P-Bench: Evaluating Video-Language Understanding with Visual Prompts for Better Human-Model Interaction","created":"2025-03-22","cited_by_count":11,"area":"mllm"},{"id":"2505.24158","title":"Threading Keyframe with Narratives: MLLMs as Strong Long Video Comprehenders","created":"2025-05-30","cited_by_count":10,"area":"mllm"},{"id":"2503.17827","title":"4D-Bench: Benchmarking Multi-modal Large Language Models for 4D Object Understanding","created":"2025-03-22","cited_by_count":8,"area":"mllm"},{"id":"2510.22443","title":"Benchmarking Egocentric Multimodal Goal Inference for Assistive Wearable Agents","created":"2025-10-25","cited_by_count":8,"area":"mllm"},{"id":"2602.08439","title":"Demo-ICL: In-Context Learning for Procedural Video Knowledge Acquisition","created":"2026-02-09","cited_by_count":8,"area":"mllm"},{"id":"2503.21699","title":"MAVERIX: Multimodal Audio-Visual Evaluation and Recognition IndeX","created":"2025-03-27","cited_by_count":7,"area":"mllm"},{"id":"2510.03584","title":"FrameOracle: Learning What to See and How Much to See in Videos","created":"2025-10-04","cited_by_count":7,"area":"mllm"},{"id":"2510.17722","title":"MT-Video-Bench: A Holistic Video Understanding Benchmark for Evaluating Multimodal LLMs in Multi-Turn Dialogues","created":"2025-10-20","cited_by_count":7,"area":"mllm"},{"id":"2501.01645","title":"HLV-1K: A Large-scale Hour-Long Video Benchmark for Time-Specific Long Video Understanding","created":"2025-01-03","cited_by_count":6,"area":"mllm"},{"id":"2506.06275","title":"Movie Facts and Fibs (MF$^2$): A Benchmark for Long Movie Understanding","created":"2025-06-06","cited_by_count":5,"area":"mllm"},{"id":"2603.00490","title":"LifeEval: A Multimodal Benchmark for Assistive AI in Egocentric Daily Life Tasks","created":"2026-02-28","cited_by_count":5,"area":"mllm"},{"id":"2606.02522","title":"Moment-Video: Diagnosing Temporal Fidelity of Video MLLMs on Momentary Visual Events","created":"2026-06-01","cited_by_count":5,"area":"mllm"},{"id":"2506.13564","title":"State-Space Hierarchical Compression with Gated Attention and Learnable Sampling for Hour-Long Video Understanding in Large Multimodal Models","created":"2025-06-16","cited_by_count":3,"area":"mllm"},{"id":"2605.10936","title":"Personal Visual Context Learning in Large Multimodal Models","created":"2026-05-11","cited_by_count":3,"area":"mllm"},{"id":"2607.02607","title":"Latent Visual Cache for Video Reasoning","created":"2026-07-01","cited_by_count":3,"area":"mllm"},{"id":"2608.13113","title":"EgoMonth: A Month-Level Egocentric Video Benchmark for Long-Term Spatiotemporal Memory","created":"2026-08-13","cited_by_count":3,"area":"mllm"},{"id":"2607.02959","title":"Incentivizing Vision Language Models to Search for Long Video Question Answering","created":"2026-07-03","cited_by_count":2,"area":"mllm"},{"id":"2505.12605","title":"Temporal-Oriented Recipe for Transferring Large Vision-Language Model to Video Understanding","created":"2025-05-19","cited_by_count":1,"area":"mllm"},{"id":"2606.15320","title":"Conditional Multi-Event Temporal Grounding in Long-Form Video","created":"2026-06-13","cited_by_count":1,"area":"mllm"},{"id":"2608.00714","title":"Coverage-Driven Adaptive Keyframe Selection for Video Understanding","created":"2026-08-01","cited_by_count":1,"area":"mllm"},{"id":"2608.21430","title":"Evaluating Multimodal Narrative Understanding of Popular Hollywood Films","created":"2026-08-17","cited_by_count":1,"area":"mllm"},{"id":"2503.19850","title":"FALCONEye: Finding Answers and Localizing Content in ONE-hour-long videos with multi-modal LLMs","created":"2025-03-25","cited_by_count":0,"area":"mllm"},{"id":"2509.19002","title":"VIR-Bench: Evaluating Geospatial and Temporal Understanding of MLLMs via Travel Video Itinerary Reconstruction","created":"2025-09-23","cited_by_count":0,"area":"mllm"},{"id":"2605.19223","title":"HAVEN: Hierarchically Aligned Multimodal Benchmark for Unified Video Understanding","created":"2026-05-19","cited_by_count":0,"area":"mllm"},{"id":"2606.02111","title":"Jailbreaking Multimodal Large Language Models using Multi-Clip Video","created":"2026-06-01","cited_by_count":0,"area":"mllm"},{"id":"2606.19706","title":"NEST: Narrative Event Structures in Time for Long Video Understanding","created":"2026-06-18","cited_by_count":0,"area":"mllm"}],"next_cursor":null}