{"total":56,"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":"2311.17005","title":"MVBench: A Comprehensive Multi-modal Video Understanding Benchmark","created":"2023-11-28","cited_by_count":1109,"area":"mllm"},{"id":"2410.02713","title":"LLaVA-Video: Video Instruction Tuning With Synthetic Data","created":"2024-10-03","cited_by_count":583,"area":"mllm"},{"id":"2302.14115","title":"Vid2Seq: Large-Scale Pretraining of a Visual Language Model for Dense Video Captioning","created":"2023-02-27","cited_by_count":263,"area":"mllm"},{"id":"2406.14515","title":"MMBench-Video: A Long-Form Multi-Shot Benchmark for Holistic Video Understanding","created":"2024-06-20","cited_by_count":182,"area":"mllm"},{"id":"2202.09061","title":"VLP: A Survey on Vision-Language Pre-training","created":"2022-02-18","cited_by_count":159,"area":"mllm"},{"id":"2408.15542","title":"Kangaroo: A Powerful Video-Language Model Supporting Long-context Video Input","created":"2024-08-28","cited_by_count":134,"area":"mllm"},{"id":"2108.09980","title":"TACo: Token-aware Cascade Contrastive Learning for Video-Text Alignment","created":"2021-08-23","cited_by_count":102,"area":"mllm"},{"id":"2412.12075","title":"CG-Bench: Clue-grounded Question Answering Benchmark for Long Video Understanding","created":"2024-12-16","cited_by_count":85,"area":"mllm"},{"id":"2411.17558","title":"Natural Language Understanding and Inference with MLLM in Visual Question Answering: A Survey","created":"2024-11-26","cited_by_count":76,"area":"mllm"},{"id":"2406.11303","title":"VideoVista: A Versatile Benchmark for Video Understanding and Reasoning","created":"2024-06-17","cited_by_count":72,"area":"mllm"},{"id":"2103.16110","title":"Kaleido-BERT: Vision-Language Pre-training on Fashion Domain","created":"2021-03-30","cited_by_count":67,"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":"2502.10810","title":"SVBench: A Benchmark with Temporal Multi-Turn Dialogues for Streaming Video Understanding","created":"2025-02-15","cited_by_count":57,"area":"mllm"},{"id":"2403.16998","title":"Understanding Long Videos with Multimodal Language Models","created":"2024-03-25","cited_by_count":25,"area":"mllm"},{"id":"2412.09613","title":"PVC: Progressive Visual Token Compression for Unified Image and Video Processing in Large Vision-Language Models","created":"2024-12-12","cited_by_count":25,"area":"mllm"},{"id":"2410.07177","title":"MM-Ego: Towards Building Egocentric Multimodal LLMs for Video QA","created":"2024-10-09","cited_by_count":24,"area":"mllm"},{"id":"2408.12763","title":"Assessing Modality Bias in Video Question Answering Benchmarks with Multimodal Large Language Models","created":"2024-08-22","cited_by_count":23,"area":"mllm"},{"id":"2404.06332","title":"X-VARS: Introducing Explainability in Football Refereeing with Multi-Modal Large Language Model","created":"2024-04-07","cited_by_count":22,"area":"mllm"},{"id":"2406.19875","title":"InfiniBench: A Benchmark for Large Multi-Modal Models in Long-Form Movies and TV Shows","created":"2024-06-28","cited_by_count":20,"area":"mllm"},{"id":"2501.05031","title":"ECBench: Can Multi-modal Foundation Models Understand the Egocentric World? A Holistic Embodied Cognition Benchmark","created":"2025-01-09","cited_by_count":19,"area":"mllm"},{"id":"2503.16036","title":"Hybrid-Level Instruction Injection for Video Token Compression in Multi-modal Large Language Models","created":"2025-03-20","cited_by_count":19,"area":"mllm"},{"id":"2112.07515","title":"CoCo-BERT: Improving Video-Language Pre-training with Contrastive Cross-modal Matching and Denoising","created":"2021-12-14","cited_by_count":18,"area":"mllm"},{"id":"2411.10979","title":"VidComposition: Can MLLMs Analyze Compositions in Compiled Videos?","created":"2024-11-17","cited_by_count":18,"area":"mllm"},{"id":"2412.17759","title":"Survey of Large Multimodal Model Datasets, Application Categories and Taxonomy","created":"2024-12-23","cited_by_count":17,"area":"mllm"},{"id":"2503.07298","title":"ALLVB: All-in-One Long Video Understanding Benchmark","created":"2025-03-10","cited_by_count":16,"area":"mllm"},{"id":"2406.10221","title":"Long Story Short: Story-level Video Understanding from 20K Short Films","created":"2024-06-14","cited_by_count":12,"area":"mllm"},{"id":"2412.17574","title":"HumanVBench: Probing Human-Centric Video Understanding in MLLMs with Automatically Synthesized Benchmarks","created":"2024-12-23","cited_by_count":11,"area":"mllm"},{"id":"2412.19794","title":"MVTamperBench: Evaluating Robustness of Vision-Language Models","created":"2024-12-27","cited_by_count":11,"area":"mllm"},{"id":"2502.06445","title":"Benchmarking Vision-Language Models on Optical Character Recognition in Dynamic Video Environments","created":"2025-02-10","cited_by_count":10,"area":"mllm"},{"id":"2402.10698","title":"Question-Instructed Visual Descriptions for Zero-Shot Video Question Answering","created":"2024-02-16","cited_by_count":9,"area":"mllm"},{"id":"2406.13763","title":"Through the Theory of Mind's Eye: Reading Minds with Multimodal Video Large Language Models","created":"2024-06-19","cited_by_count":9,"area":"mllm"},{"id":"2503.19356","title":"Can Vision-Language Models Answer Face to Face Questions in the Real-World?","created":"2025-03-25","cited_by_count":7,"area":"mllm"},{"id":"2504.15270","title":"An LMM for Efficient Video Understanding via Reinforced Compression of Video Cubes","created":"2025-04-21","cited_by_count":7,"area":"mllm"},{"id":"2506.18504","title":"Generalizing vision-language models to novel domains: A comprehensive survey","created":"2025-06-23","cited_by_count":7,"area":"mllm"},{"id":"2309.15915","title":"Zero-Shot and Few-Shot Video Question Answering with Multi-Modal Prompts","created":"2023-09-27","cited_by_count":5,"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":"2506.07032","title":"A Culturally-diverse Multilingual Multimodal Video Benchmark & Model","created":"2025-06-08","cited_by_count":5,"area":"mllm"},{"id":"2604.14149","title":"One Token per Highly Selective Frame: Towards Extreme Compression for Long Video Understanding","created":"2026-04-15","cited_by_count":5,"area":"mllm"},{"id":"2312.02483","title":"EtC: Temporal Boundary Expand then Clarify for Weakly Supervised Video Grounding with Multimodal Large Language Model","created":"2023-12-05","cited_by_count":4,"area":"mllm"},{"id":"2505.17536","title":"Multimodal Conversation Structure Understanding","created":"2025-05-23","cited_by_count":4,"area":"mllm"},{"id":"2512.16250","title":"AMUSE: Audio-Visual Benchmark and Alignment Framework for Agentic Multi-Speaker Understanding","created":"2025-12-18","cited_by_count":4,"area":"mllm"},{"id":"2511.18929","title":"Human-Centric Open-Future Task Discovery: Formulation, Benchmark, and Scalable Tree-Based Search","created":"2025-11-24","cited_by_count":3,"area":"mllm"},{"id":"2601.21666","title":"SONIC-O1: A Real-World Benchmark for Evaluating Multimodal Large Language Models on Audio-Video Understanding","created":"2026-01-29","cited_by_count":3,"area":"mllm"},{"id":"2603.24329","title":"GameplayQA: A Benchmarking Framework for Decision-Dense POV-Synced Multi-Video Understanding of 3D Virtual Agents","created":"2026-03-25","cited_by_count":3,"area":"mllm"},{"id":"2509.14227","title":"Cin\\'{e}aste: A Fine-grained Contextual Movie Question Answering Benchmark","created":"2025-09-17","cited_by_count":2,"area":"mllm"},{"id":"2601.14569","title":"Social Caption: Evaluating Social Understanding in Multimodal Models","created":"2026-01-21","cited_by_count":2,"area":"mllm"},{"id":"2505.01790","title":"Enhancing the Learning Experience: Using Vision-Language Models to Generate Questions for Educational Videos","created":"2025-05-03","cited_by_count":1,"area":"mllm"},{"id":"2510.01009","title":"POVQA: Preference-Optimized Video Question Answering with Rationales for Data Efficiency","created":"2025-10-01","cited_by_count":1,"area":"mllm"},{"id":"2512.09907","title":"VisualActBench: Can VLMs See and Act like a Human?","created":"2025-12-10","cited_by_count":1,"area":"mllm"},{"id":"2407.05419","title":"Multimodal Language Models for Domain-Specific Procedural Video Summarization","created":"2024-07-07","cited_by_count":0,"area":"mllm"},{"id":"2506.04983","title":"TextVidBench: A Benchmark for Long Video Scene Text Understanding","created":"2025-06-05","cited_by_count":0,"area":"mllm"},{"id":"2509.21980","title":"Resolving Ambiguity in Gaze-Facilitated Visual Assistant Interaction Paradigm","created":"2025-09-26","cited_by_count":0,"area":"mllm"},{"id":"2603.24484","title":"Video-Only ToM: Enhancing Theory of Mind in Multimodal Large Language Models","created":"2026-03-25","cited_by_count":0,"area":"mllm"},{"id":"2608.28784","title":"ClearText-Video: A Large-Scale Text-Centric Video Dataset Bridging Video Restoration and Scene-Text Enhancement","created":"2026-08-28","cited_by_count":0,"area":"mllm"},{"id":"2610.18829","title":"OmniCompass: A Holistic Benchmark for Omni-Modal Video Grounding and Understanding","created":"2026-10-13","cited_by_count":0,"area":"mllm"}],"next_cursor":null}