{"total":20,"rows":[{"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":"2503.12769","title":"ViSpeak: Visual Instruction Feedback in Streaming Videos","created":"2025-03-17","cited_by_count":42,"area":"mllm"},{"id":"2505.21089","title":"DisasterM3: A Remote Sensing Vision-Language Dataset for Disaster Damage Assessment and Response","created":"2025-05-27","cited_by_count":36,"area":"mllm"},{"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":"2505.21076","title":"DynamicVL: Benchmarking Multimodal Large Language Models for Dynamic City Understanding","created":"2025-05-27","cited_by_count":18,"area":"mllm"},{"id":"2505.20715","title":"MUSEG: Reinforcing Video Temporal Understanding via Timestamp-Aware Multi-Segment Grounding","created":"2025-05-27","cited_by_count":12,"area":"mllm"},{"id":"2508.21496","title":"ELV-Halluc: Benchmarking Semantic Aggregation Hallucinations in Long Video Understanding","created":"2025-08-29","cited_by_count":10,"area":"mllm"},{"id":"2412.03565","title":"INST-IT: Boosting Instance Understanding via Explicit Visual Prompt Instruction Tuning","created":"2024-12-04","cited_by_count":8,"area":"mllm"},{"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":"2509.12145","title":"Open-ended Hierarchical Streaming Video Understanding with Vision Language Models","created":"2025-09-15","cited_by_count":6,"area":"mllm"},{"id":"2504.21435","title":"SeriesBench: A Benchmark for Narrative-Driven Drama Series Understanding","created":"2025-04-30","cited_by_count":5,"area":"mllm"},{"id":"2511.16595","title":"TimeViper: A Hybrid Mamba-Transformer Vision-Language Model for Efficient Long Video Understanding","created":"2025-11-20","cited_by_count":4,"area":"mllm"},{"id":"2603.08436","title":"Can Vision-Language Models Solve the Shell Game?","created":"2026-03-09","cited_by_count":3,"area":"mllm"},{"id":"2508.10955","title":"Empowering Multimodal LLMs with External Tools: A Comprehensive Survey","created":"2025-08-14","cited_by_count":2,"area":"mllm"},{"id":"2512.11336","title":"UFVideo: Towards Unified Fine-Grained Video Cooperative Understanding with Large Language Models","created":"2025-12-12","cited_by_count":2,"area":"mllm"},{"id":"2604.07634","title":"VSAS-Bench: Real-Time Evaluation of Visual Streaming Assistant Models","created":"2026-04-08","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":"2606.15320","title":"Conditional Multi-Event Temporal Grounding in Long-Form Video","created":"2026-06-13","cited_by_count":1,"area":"mllm"},{"id":"2608.02078","title":"CAVE: Competence-Aware Visual Boundary Evidence Alignment for Video Temporal Grounding","created":"2026-08-03","cited_by_count":1,"area":"mllm"},{"id":"2604.09037","title":"SiMing-Bench: Evaluating Procedural Correctness from Continuous Interactions in Clinical Skill Videos","created":"2026-04-10","cited_by_count":0,"area":"mllm"}],"next_cursor":null}