conftrace_

computational efficiency

362 papers

Explore in graph

Co-occurring keywords

model compression (3302) efficient computing (781) large language model (13587) neural network optimization (1293) convolutional neural network (4226) neural network (6616) attention mechanism (4001) vision transformer (1106) transformer architecture (1560) model architecture (324)

Papers

The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit ACL 2025
Efficient Inference for Large Language Models –Algorithm, Model, and System EMNLP 2025
StitchLLM: Serving LLMs, One Block at a Time ACL 2025
CopySpec: Accelerating LLMs with Speculative Copy-and-Paste EMNLP 2025
Text Anomaly Detection with Simplified Isolation Kernel EMNLP 2025
Semantic Exploration with Adaptive Gating for Efficient Problem Solving with Language Models ACL 2025
Text Embedding Knows How to Quantize Text-Guided Diffusion Models ICCV 2025
Swift Cross-Dataset Pruning: Enhancing Fine-Tuning Efficiency in Natural Language Understanding COLING 2025
FOLDER: Accelerating Multi-Modal Large Language Models with Enhanced Performance ICCV 2025
Accelerate Parallelizable Reasoning via Parallel Decoding within One Sequence EMNLP 2025
Squeezed Attention: Accelerating Long Context Length LLM Inference ACL 2025
Layer-wise Vision Injection with Disentangled Attention for Efficient LVLMs ICCV 2025
Principles of Visual Tokens for Efficient Video Understanding ICCV 2025
LongRecipe: Recipe for Efficient Long Context Generalization in Large Language Models ACL 2025
Less is More: A Simple yet Effective Token Reduction Method for Efficient Multi-modal LLMs COLING 2025
A-VL: Adaptive Attention for Large Vision-Language Models AAAI 2025
Asymptotic Unbiased Sample Sampling to Speed Up Sharpness-Aware Minimization AAAI 2025
MMS-LLaMA: Efficient LLM-based Audio-Visual Speech Recognition with Minimal Multimodal Speech Tokens ACL 2025
Incremental Transformer: Efficient Encoder for Incremented Text Over MRC and Conversation Tasks COLING 2025
FilterTS: Comprehensive Frequency Filtering for Multivariate Time Series Forecasting AAAI 2025
COUNTDOWN: Contextually Sparse Activation Filtering Out Unnecessary Weights in Down Projection EMNLP 2025
Label Augmented Dataset Distillation WACV 2025
Reasoning under Uncertainty: Efficient LLM Inference via Unsupervised Confidence Dilution and Convergent Adaptive Sampling EMNLP 2025
DELT: A Simple Diversity-driven EarlyLate Training for Dataset Distillation CVPR 2025
SMamba: Sparse Mamba for Event-based Object Detection AAAI 2025