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Efficient Computing

6876 directly classified papers

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Papers

Walk and Read Less: Improving the Efficiency of Vision-and-Language Navigation via Tuning-Free Multimodal Token Pruning EMNLP 2025
DCR: Quantifying Data Contamination in LLMs Evaluation EMNLP 2025
ENAF: A Multi-Exit Network with an Adaptive Patch Fusion for Large Image Super Resolution WACV 2025
Language Models Can be Efficiently Steered via Minimal Embedding Layer Transformations EMNLP 2025
Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization EMNLP 2025
A Regional-Level Resource-Saving Model for Winter Road Surface Snow Detection in Extreme Weathers WACV 2025
TASO: Task-Aligned Sparse Optimization for Parameter-Efficient Model Adaptation EMNLP 2025
From Understanding to Generation: An Efficient Shortcut for Evaluating Language Models EMNLP 2025
Data-Efficient Selection via Grammatical Complexity in Continual Pre-training of Domain-Specific LLMs EMNLP 2025
GRIT: Guided Relational Integration for Efficient Multi-Table Understanding EMNLP 2025
GraphKV: Breaking the Static Selection Paradigm with Graph-Based KV Cache Eviction EMNLP 2025
VistaWise: Building Cost-Effective Agent with Cross-Modal Knowledge Graph for Minecraft EMNLP 2025
zFLoRA: Zero-Latency Fused Low-Rank Adapters EMNLP 2025
TokenSelect: Efficient Long-Context Inference and Length Extrapolation for LLMs via Dynamic Token-Level KV Cache Selection EMNLP 2025
An Empirical Study on Strong-Weak Model Collaboration for Repo-level Code Generation EMNLP 2025
MobiZO: Enabling Efficient LLM Fine-Tuning at the Edge via Inference Engines EMNLP 2025
Efficient Context Selection for Long-Context QA: No Tuning, No Iteration, Just Adaptive‐k EMNLP 2025
DSMoE: Matrix-Partitioned Experts with Dynamic Routing for Computation-Efficient Dense LLMs EMNLP 2025
CBP-Tuning: Efficient Local Customization for Black-box Large Language Models EMNLP 2025
Alignment for Efficient Tool Calling of Large Language Models EMNLP 2025
Dovetail: A CPU/GPU Heterogeneous Speculative Decoding for LLM inference EMNLP 2025
Grammar Pruning: Enabling Low-Latency Zero-Shot Task-Oriented Language Models for Edge AI EMNLP 2025
Reliable and Cost-Effective Exploratory Data Analysis via Graph-Guided RAG EMNLP 2025
FLRC: Fine-grained Low-Rank Compressor for Efficient LLM Inference EMNLP 2025
Efficient Beam Search for Large Language Models Using Trie-Based Decoding EMNLP 2025