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Efficient Computing

6876 directly classified papers

Papers per year

Papers

Enhancing Large Language Model Performance with Gradient-Based Parameter Selection AAAI 2025
Can LLMs Generate High-Quality Test Cases for Algorithm Problems? TestCase-Eval: A Systematic Evaluation of Fault Coverage and Exposure ACL 2025
From Address Blocks to Authorized Prefixes: Redesigning RPKI ROV with a Hierarchical Hashing Scheme for Fast and Memory-Efficient Validation NSDI 2025
DAC: A Dynamic Attention-aware Approach for Task-Agnostic Prompt Compression ACL 2025
Inference Compute-Optimal Video Vision Language Models ACL 2025
EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models ACL 2025
ClubHeap: A High-Speed and Scalable Priority Queue for Programmable Packet Scheduling NSDI 2025
JSON Whisperer: Efficient JSON Editing with LLMs EMNLP 2025
FLOW-BENCH: Towards Conversational Generation of Enterprise Workflows EMNLP 2025
TTD-SQL: Tree-Guided Token Decoding for Efficient and Schema-Aware SQL Generation EMNLP 2025
Self-Clocked Round-Robin Packet Scheduling NSDI 2025
Scalable and Cost Effective High-Cardinality Classification with LLMs via Multi-View Label Representations and Retrieval Augmentation EMNLP 2025
ECHO-LLaMA: Efficient Caching for High-Performance LLaMA Training EMNLP 2025
DispatchQA: A Benchmark for Small Function Calling Language Models in E-Commerce Applications EMNLP 2025
EPT: Efficient Prompt Tuning by Multi-Space Projection and Prompt Fusion AAAI 2025
Vocabulary-level Memory Efficiency for Language Model Fine-tuning NAACL 2025
Training with Fewer Bits: Unlocking Edge LLMs Training with Stochastic Rounding EMNLP 2025
ViFT: Towards Visual Instruction-Free Fine-tuning for Large Vision-Language Models EMNLP 2025
C3oT: Generating Shorter Chain-of-Thought Without Compromising Effectiveness AAAI 2025
Drift-Adapter: A Practical Approach to Near Zero-Downtime Embedding Model Upgrades in Vector Databases EMNLP 2025
A Survey on LLM-powered Agents for Recommender Systems EMNLP 2025
Revisiting Pruning vs Quantization for Small Language Models EMNLP 2025
LoRaDA: Low-Rank Direct Attention Adaptation for Efficient LLM Fine-tuning EMNLP 2025
Text Anomaly Detection with Simplified Isolation Kernel EMNLP 2025
Swift Cross-Dataset Pruning: Enhancing Fine-Tuning Efficiency in Natural Language Understanding COLING 2025