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conftrace_

video large language model

63 papers

VID-LLM VIDEO-LLM VIDEO LLM VLLM VIDEOLLM

Papers

AdaSpark: Adaptive Sparsity for Efficient Long-Video Understanding CVPR 2026 An Empirical Study on How Video-LLMs Answer Video Questions CVPR 2026 CogStream: Context-guided Streaming Video Question Answering AAAI 2026 EarlyTom: Early Token Compression Completes Fast Video Understanding CVPR 2026 Editing the Moving World: Model Editing for Video LLMs ACL 2026 Failures to Surface Harmful Contents in Video Large Language Models AAAI 2026 Flattery in Motion: Benchmarking and Analyzing Sycophancy in Video-LLMs ACL 2026 GroundVTS: Visual Token Sampling in Multimodal Large Language Models for Video Temporal Grounding CVPR 2026 HERBench: A Benchmark for Multi-Evidence Integration in Video Question Answering CVPR 2026 INFACT: A Diagnostic Benchmark for Induced Faithfulness and Factuality Hallucinations in Video-LLMs ACL 2026 IPFormer: Instance Prompt-guided Transformer for Multi-modal Multi-shot Video Understanding AAAI 2026 MaxInfo: A Training-Free Key-Frame Selection Method Using Maximum Volume for Enhanced Video Understanding WACV 2026 MeToM: Metadata-Guided Token Merging for Efficient Video LLMs CVPR 2026 MMG-Vid: Maximizing Marginal Gains at Segment-level and Token-level for Efficient Video LLMs AAAI 2026 MVP: Enhancing Video Large Language Models via Self-supervised Masked Video Prediction ACL 2026 PAS: A Training-Free Stabilizer for Temporal Encoding in Video LLMs CVPR 2026 R-AVST: Empowering Video-LLMs with Fine-Grained Spatio-Temporal Reasoning in Complex Audio-Visual Scenarios AAAI 2026 SEASON: Mitigating Temporal Hallucination in Video Large Language Models via Self-Diagnostic Contrastive Decoding CVPR 2026 See the Forest for the Trees: Loosely Speculative Decoding via Visual-Semantic Guidance for Efficient Inference of Video LLMs ACL 2026 SegMo: Co-Designing Content-Aware Sparsity and Locally-Cohesive Segment Parallelism for Efficient VLM Inference CVPR 2026 Select Less, Reason More: Prioritizing Evidence Purity for Video Reasoning CVPR 2026 TEMPLE: Incentivizing Temporal Understanding of Video Large Language Models via Progressive Pre-SFT Alignment AAAI 2026 Token Reduction via Local and Global Contexts Optimization for Efficient Video Large Language Models CVPR 2026 UFVideo: Towards Unified Fine-Grained Video Cooperative Understanding with Large Language Models CVPR 2026 VALU: A Benchmark for Video Anomaly Temporal Localization and Understanding at Multiple Semantic Levels ACL 2026