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Efficient Computing

6876 directly classified papers

Papers per year

Papers

LLM4DistReconfig: A Fine-tuned Large Language Model for Power Distribution Network Reconfiguration NAACL 2025
CVE-Bench: Benchmarking LLM-based Software Engineering Agent’s Ability to Repair Real-World CVE Vulnerabilities NAACL 2025
AudioBench: A Universal Benchmark for Audio Large Language Models NAACL 2025
MoDification: Mixture of Depths Made Easy NAACL 2025
Take the essence and discard the dross: A Rethinking on Data Selection for Fine-Tuning Large Language Models NAACL 2025
AdTEC: A Unified Benchmark for Evaluating Text Quality in Search Engine Advertising NAACL 2025
LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matrices NAACL 2025
HMT: Hierarchical Memory Transformer for Efficient Long Context Language Processing NAACL 2025
FedSpaLLM: Federated Pruning of Large Language Models NAACL 2025
FiNE: Filtering and Improving Noisy Data Elaborately with Large Language Models NAACL 2025
LongLeader: A Comprehensive Leaderboard for Large Language Models in Long-context Scenarios NAACL 2025
Amphista: Bi-directional Multi-head Decoding for Accelerating LLM Inference NAACL 2025
Seq1F1B: Efficient Sequence-Level Pipeline Parallelism for Large Language Model Training NAACL 2025
KS-Lottery: Finding Certified Lottery Tickets for Multilingual Transfer in Large Language Models NAACL 2025
EMS-SD: Efficient Multi-sample Speculative Decoding for Accelerating Large Language Models NAACL 2025
Not All Adapters Matter: Selective Adapter Freezing for Memory-Efficient Fine-Tuning of Language Models NAACL 2025
DCE-LLM: Dead Code Elimination with Large Language Models NAACL 2025
Are Multimodal LLMs Robust Against Adversarial Perturbations? RoMMath: A Systematic Evaluation on Multimodal Math Reasoning NAACL 2025
ALinFiK: Learning to Approximate Linearized Future Influence Kernel for Scalable Third-Party LLM Data Valuation NAACL 2025
PromptOptMe: Error-Aware Prompt Compression for LLM-based MT Evaluation Metrics NAACL 2025
Towards Sustainable NLP: Insights from Benchmarking Inference Energy in Large Language Models NAACL 2025
CSR-Bench: Benchmarking LLM Agents in Deployment of Computer Science Research Repositories NAACL 2025
Defense against Prompt Injection Attacks via Mixture of Encodings NAACL 2025
A Systematic Study of Cross-Layer KV Sharing for Efficient LLM Inference NAACL 2025
OpenRLHF: A Ray-based Easy-to-use, Scalable and High-performance RLHF Framework EMNLP 2025