Papers

• Bridging VideoQA and Video-Guided Agentic Tasks via Generalized Keyframe Extraction (2026)
  Sunqi Fan et al.
  1.94
• AnyGroundBench: A Specialized-Domain Benchmark for Video Grounding in Vision-Language Models (2026)
  Rintaro Otsubo et al.
  1.94
• Reliable and Responsible Foundation Models: A Comprehensive Survey (2026)
  Xinyu Yang et al.
  1.72
• Self-alignment of Large Video Language Models with Refined Regularized Preference Optimization (2025)
  Pritam Sarkar et al.
  1.28
• Deep Video Discovery: Agentic Search with Tool Use for Long-form Video Understanding (2025)
  Xiaoyi Zhang et al.
  1.28
• VerIPO: Cultivating Long Reasoning in Video-LLMs via Verifier-Gudied Iterative Policy Optimization (2025)
  Yunxin Li et al.
  1.28
• SiLVR: A Simple Language-based Video Reasoning Framework (2025)
  Ce Zhang et al.
  1.28
• VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs (2024)
  Zesen Cheng et al.
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• OpenVid-1M: A Large-Scale High-Quality Dataset for Text-to-video Generation (2024)
  Kepan Nan et al.
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• VideoLLaMB: Long-context Video Understanding with Recurrent Memory Bridges (2024)
  Yuxuan Wang et al.
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• VideoGLaMM: A Large Multimodal Model for Pixel-Level Visual Grounding in Videos (2024)
  Shehan Munasinghe et al.
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• VideoICL: Confidence-based Iterative In-context Learning for Out-of-Distribution Video Understanding (2024)
  Kangsan Kim et al.
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• VideoRefer Suite: Advancing Spatial-Temporal Object Understanding with Video LLM (2024)
  Yuqian Yuan et al.
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