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Efficient Computing

6,898 papers

Papers per year

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Papers

Towards Efficient and Multifaceted Computer-assisted Pronunciation Training Leveraging Hierarchical Selective State Space Model and Decoupled Cross-entropy Loss NAACL 2025
MEDA: Dynamic KV Cache Allocation for Efficient Multimodal Long-Context Inference NAACL 2025
ReGLA: Refining Gated Linear Attention NAACL 2025
Benchmarking Failures in Tool-Augmented Language Models NAACL 2025
Beyond End-to-End VLMs: Leveraging Intermediate Text Representations for Superior Flowchart Understanding NAACL 2025
Mamba-Shedder: Post-Transformer Compression for Efficient Selective Structured State Space Models NAACL 2025
Sketch2Code: Evaluating Vision-Language Models for Interactive Web Design Prototyping NAACL 2025
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
SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model NAACL 2025
Constrained Decoding with Speculative Lookaheads 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