video large language model
63 papers
Also known as
VID-LLM
VIDEO-LLM
VIDEO LLM
VLLM
VIDEOLLM
Co-occurring keywords · papers mentioning both
Papers
VideoITG: Multimodal Video Understanding with Instructed Temporal Grounding
CVPR 2026
VideoPro: Adaptive Program Reasoning for Long Video Understanding
ACL 2026
ViKey: Enhancing Temporal Understanding in Videos via Visual Prompting
CVPR 2026
ViLL-E: Video LLM Embeddings for Retrieval
ACL 2026
WeaveTime: Streaming from Earlier Frames into Emergent Memory in VideoLLMs
CVPR 2026
BQA: Body Language Question Answering Dataset for Video Large Language Models
ACL 2025
Dispider: Enabling Video LLMs with Active Real-Time Interaction via Disentangled Perception, Decision, and Reaction
CVPR 2025
DyCoke: Dynamic Compression of Tokens for Fast Video Large Language Models
CVPR 2025
Frame-Voyager: Learning to Query Frames for Video Large Language Models
ICLR 2025
Generative Frame Sampler for Long Video Understanding
ACL 2025
Grounded-VideoLLM: Sharpening Fine-grained Temporal Grounding in Video Large Language Models
EMNLP 2025
GUI-World: A Video Benchmark and Dataset for Multimodal GUI-oriented Understanding
ICLR 2025
iMOVE : Instance-Motion-Aware Video Understanding
ACL 2025
LiveCC: Learning Video LLM with Streaming Speech Transcription at Scale
CVPR 2025
MASH-VLM: Mitigating Action-Scene Hallucination in Video-LLMs through Disentangled Spatial-Temporal Representations
CVPR 2025
MDP3: A Training-free Approach for List-wise Frame Selection in Video-LLMs
ICCV 2025
METok: Multi-Stage Event-based Token Compression for Efficient Long Video Understanding
EMNLP 2025
MHBench: Demystifying Motion Hallucination in VideoLLMs
AAAI 2025
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs
ICCV 2025
Number it: Temporal Grounding Videos like Flipping Manga
CVPR 2025
On the Consistency of Video Large Language Models in Temporal Comprehension
CVPR 2025
PAVE: Patching and Adapting Video Large Language Models
CVPR 2025
Seq2Time: Sequential Knowledge Transfer for Video LLM Temporal Grounding
CVPR 2025
SpecVLM: Enhancing Speculative Decoding of Video LLMs via Verifier-Guided Token Pruning
EMNLP 2025
STEP: Enhancing Video-LLMs' Compositional Reasoning by Spatio-Temporal Graph-guided Self-Training
CVPR 2025