{"total":20,"rows":[{"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":"2412.02104","title":"Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey","created":"2024-12-03","cited_by_count":52,"area":"mllm"},{"id":"2605.25979","title":"LLaVA-OneVision-2: Towards Next-Generation Perceptual Intelligence","created":"2026-05-25","cited_by_count":39,"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":"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":"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":"2505.20715","title":"MUSEG: Reinforcing Video Temporal Understanding via Timestamp-Aware Multi-Segment Grounding","created":"2025-05-27","cited_by_count":12,"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":"2505.18110","title":"Watch and Listen: Understanding Audio-Visual-Speech Moments with Multimodal LLM","created":"2025-05-23","cited_by_count":7,"area":"mllm"},{"id":"2512.08979","title":"What Happens When: Learning Temporal Orders of Events in Videos","created":"2025-12-05","cited_by_count":3,"area":"mllm"},{"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":"2508.10955","title":"Empowering Multimodal LLMs with External Tools: A Comprehensive Survey","created":"2025-08-14","cited_by_count":2,"area":"mllm"},{"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":"2603.25733","title":"SlotVTG: Object-Centric Adapter for Generalizable Video Temporal Grounding","created":"2026-03-26","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":"2603.11423","title":"Beyond Single-Sample: Reliable Multi-Sample Distillation for Video Understanding","created":"2026-03-12","cited_by_count":0,"area":"mllm"},{"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":"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"}],"next_cursor":null}