Co-occurring keywords · papers mentioning both
Papers
OmniKV: Dynamic Context Selection for Efficient Long-Context LLMs
ICLR 2025
Packing Analysis: Packing Is More Appropriate for Large Models or Datasets in Supervised Fine-tuning
ACL 2025
Pose Magic: Efficient and Temporally Consistent Human Pose Estimation with a Hybrid Mamba-GCN Network
AAAI 2025
Position: AI Scaling: From Up to Down and Out
ICML 2025
ProCut: LLM Prompt Compression via Attribution Estimation
EMNLP 2025
Progressive Focused Transformer for Single Image Super-Resolution
CVPR 2025
PT-T2I/V: An Efficient Proxy-Tokenized Diffusion Transformer for Text-to-Image/Video-Task
ICLR 2025
QiMeng-Attention: SOTA Attention Operator is generated by SOTA Attention Algorithm
ACL 2025
Q-MiniSAM2: A Quantization-based Benchmark for Resource-Efficient Video Segmentation
IJCAI 2025
Quantization without Tears
CVPR 2025
QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines
ACL 2025
RaaS: Reasoning-Aware Attention Sparsity for Efficient LLM Reasoning
ACL 2025
Rectifying Magnitude Neglect in Linear Attention
ICCV 2025
RedundancyLens: Revealing and Exploiting Visual Token Processing Redundancy for Efficient Decoder-Only MLLMs
ACL 2025
RemDet: Rethinking Efficient Model Design for UAV Object Detection
AAAI 2025
Representation Shift: Unifying Token Compression with FlashAttention
ICCV 2025
ReSpec: Relevance and Specificity Grounded Online Filtering for Learning on Video-Text Data Streams
CVPR 2025
Retrofitting Large Language Models with Dynamic Tokenization
ACL 2025
Revisiting Efficient Semantic Segmentation: Learning Offsets for Better Spatial and Class Feature Alignment
ICCV 2025
RingFormer: Rethinking Recurrent Transformer with Adaptive Level Signals
EMNLP 2025
RocketEval: Efficient automated LLM evaluation via grading checklist
ICLR 2025
Scaling Context, Not Parameters: Training a Compact 7B Language Model for Efficient Long-Context Processing
ACL 2025
Scaling Down, Serving Fast: Compressing and Deploying Efficient LLMs for Recommendation Systems
EMNLP 2025
Seeing More, Saying More: Lightweight Language Experts are Dynamic Video Token Compressors
EMNLP 2025
Seeing More with Less: Human-like Representations in Vision Models
CVPR 2025