conftrace_

computational efficiency

362 papers

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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

Cross-MoE: An Efficient Temporal Prediction Framework Integrating Textual Modality EMNLP 2025
Large Language Model Evaluation via Matrix Nuclear-Norm EMNLP 2025
Comparative Analysis of Demonstration Selection Algorithms for In-Context Learning in Large Language Models (Student Abstract) AAAI 2025
LEO-MINI: An Efficient Multimodal Large Language Model using Conditional Token Reduction and Mixture of Multi-Modal Experts EMNLP 2025
Cost-Optimal Grouped-Query Attention for Long-Context Modeling EMNLP 2025
Reusing Computation in Text-to-Image Diffusion for Efficient Generation of Image Sets ICCV 2025
Dynamic-VLM: Simple Dynamic Visual Token Compression for VideoLLM ICCV 2025
Less is More: A Simple yet Effective Token Reduction Method for Efficient Multi-modal LLMs COLING 2025
TORE: Token Recycling in Vision Transformers for Efficient Active Visual Exploration WACV 2025
SpotDiffusion: A Fast Approach for Seamless Panorama Generation Over Time WACV 2025
Bandit Based Attention Mechanism in Vision Transformers WACV 2025
Layer-wise Vision Injection with Disentangled Attention for Efficient LVLMs ICCV 2025
The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit ACL 2025
A-VL: Adaptive Attention for Large Vision-Language Models AAAI 2025
Text Anomaly Detection with Simplified Isolation Kernel EMNLP 2025
Principles of Visual Tokens for Efficient Video Understanding ICCV 2025
Derailer-Rerailer: Adaptive Verification for Efficient and Reliable Language Model Reasoning ACL 2025
Semantic Exploration with Adaptive Gating for Efficient Problem Solving with Language Models ACL 2025
Router-Tuning: A Simple and Effective Approach for Dynamic Depth EMNLP 2025
Salience DETR: Enhancing Detection Transformer with Hierarchical Salience Filtering Refinement CVPR 2024
D-LLM: A Token Adaptive Computing Resource Allocation Strategy for Large Language Models NIPS 2024
AnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets NAACL 2024
DiTFastAttn: Attention Compression for Diffusion Transformer Models NIPS 2024
You Only Need Less Attention at Each Stage in Vision Transformers CVPR 2024
Rethinking Imbalance in Image Super-Resolution for Efficient Inference NIPS 2024