conftrace_

efficient computing

781 papers

Explore in graph

Also known as

EC

Co-occurring keywords

model compression (3302) convolutional neural network (4226) neural network optimization (1293) large language model (13587) attention mechanism (4001) vision transformer (1106) neural network (6616) knowledge distillation (3725) neural architecture search (666) transformer architecture (1560)

Papers

QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines ACL 2025
VisionZip: Longer is Better but Not Necessary in Vision Language Models CVPR 2025
NVILA: Efficient Frontier Visual Language Models CVPR 2025
Multilingual Iterative Model Pruning: What Matters? AACL 2025
Progressive Focused Transformer for Single Image Super-Resolution CVPR 2025
DeCafNet: Delegate and Conquer for Efficient Temporal Grounding in Long Videos CVPR 2025
ReSpec: Relevance and Specificity Grounded Online Filtering for Learning on Video-Text Data Streams CVPR 2025
Conical Visual Concentration for Efficient Large Vision-Language Models CVPR 2025
Scaling Down, Serving Fast: Compressing and Deploying Efficient LLMs for Recommendation Systems EMNLP 2025
LLM-Independent Adaptive RAG: Let the Question Speak for Itself EMNLP 2025
LEO-MINI: An Efficient Multimodal Large Language Model using Conditional Token Reduction and Mixture of Multi-Modal Experts EMNLP 2025
ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models EMNLP 2025
AnchorAttention: Difference-Aware Sparse Attention with Stripe Granularity EMNLP 2025
Firewall Routing: Blocking Leads to Better Hybrid Inference for LLMs EMNLP 2025
E-Verify: A Paradigm Shift to Scalable Embedding-based Factuality Verification EMNLP 2025
ZigZagKV: Dynamic KV Cache Compression for Long-context Modeling based on Layer Uncertainty COLING 2025
Does quantization affect models’ performance on long-context tasks? EMNLP 2025
Iterative Layer Pruning for Efficient Translation Inference EMNLP 2025
MossNet: Mixture of State-Space Experts is a Multi-Head Attention AACL 2025
Fit and Prune: Fast and Training-free Visual Token Pruning for Multi-modal Large Language Models AAAI 2025
SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device CVPR 2025
Video-XL: Extra-Long Vision Language Model for Hour-Scale Video Understanding CVPR 2025
LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers AAAI 2025
DocMamba: Efficient Document Pre-training with State Space Model AAAI 2025
RedundancyLens: Revealing and Exploiting Visual Token Processing Redundancy for Efficient Decoder-Only MLLMs ACL 2025