Co-occurring keywords · papers mentioning both
Papers
Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution
ICLR 2025
Personalized Question Answering with User Profile Generation and Compression
EMNLP 2025
Recoverable Compression: A Multimodal Vision Token Recovery Mechanism Guided by Text Information
AAAI 2025
Representation Shift: Unifying Token Compression with FlashAttention
ICCV 2025
Seeing More, Saying More: Lightweight Language Experts are Dynamic Video Token Compressors
EMNLP 2025
SoftVQ-VAE: Efficient 1-Dimensional Continuous Tokenizer
CVPR 2025
TimeSuite: Improving MLLMs for Long Video Understanding via Grounded Tuning
ICLR 2025
Ultra-High-Definition Dynamic Multi-Exposure Image Fusion via Infinite Pixel Learning
AAAI 2025
Video Compression Commander: Plug-and-Play Inference Acceleration for Video Large Language Models
EMNLP 2025
Video-XL: Extra-Long Vision Language Model for Hour-Scale Video Understanding
CVPR 2025
VoCo-LLaMA: Towards Vision Compression with Large Language Models
CVPR 2025
VTG-LLM: Integrating Timestamp Knowledge into Video LLMs for Enhanced Video Temporal Grounding
AAAI 2025
When Every Token Counts: Optimal Segmentation for Low-Resource Language Models
COLING 2025
Don't Look Twice: Faster Video Transformers with Run-Length Tokenization
NeurIPS 2024
Efficient Large Multi-modal Models via Visual Context Compression
NeurIPS 2024
Encoding Spreadsheets for Large Language Models
EMNLP 2024
Query-based Cross-Modal Projector Bolstering Mamba Multimodal LLM
EMNLP 2024
White-Box Transformers via Sparse Rate Reduction: Compression Is All There Is?
JMLR 2024
Context Compression for Auto-regressive Transformers with Sentinel Tokens
EMNLP 2023
DiffRate : Differentiable Compression Rate for Efficient Vision Transformers
ICCV 2023
Focus on the Core: Efficient Attention via Pruned Token Compression for Document Classification
EMNLP 2023
TCRA-LLM: Token Compression Retrieval Augmented Large Language Model for Inference Cost Reduction
EMNLP 2023
VCC: Scaling Transformers to 128K Tokens or More by Prioritizing Important Tokens
NeurIPS 2023
White-Box Transformers via Sparse Rate Reduction
NeurIPS 2023