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Efficient Computing
6,876 papers
Papers per year
2003: 3
2004: 2
2005: 3
2006: 3
2007: 8
2008: 10
2009: 7
2010: 11
2011: 12
2012: 15
2013: 53
2014: 48
2015: 55
2016: 97
2017: 135
2018: 233
2019: 369
2020: 502
2021: 664
2022: 741
2023: 1039
2024: 1063
2025: 1395
2026: 408
Papers
GKT: A Novel Guidance-Based Knowledge Transfer Framework For Efficient Cloud-edge Collaboration LLM Deployment
ACL 2024
E2-LLM: Efficient and Extreme Length Extension of Large Language Models
ACL 2024
Extending Context Window of Large Language Models via Semantic Compression
ACL 2024
Generation Meets Verification: Accelerating Large Language Model Inference with Smart Parallel Auto-Correct Decoding
ACL 2024
Too Big to Fail: Larger Language Models are Disproportionately Resilient to Induction of Dementia-Related Linguistic Anomalies
ACL 2024
RAP: Efficient Text-Video Retrieval with Sparse-and-Correlated Adapter
ACL 2024
PartialFormer: Modeling Part Instead of Whole for Machine Translation
ACL 2024
Light-PEFT: Lightening Parameter-Efficient Fine-Tuning via Early Pruning
ACL 2024
Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding
ACL 2024
Symmetric Dot-Product Attention for Efficient Training of BERT Language Models
ACL 2024
Alignment-Based Decoding Policy for Low-Latency and Anticipation-Free Neural Japanese Input Method Editors
ACL 2024
BASS: Batched Attention-optimized Speculative Sampling
ACL 2024
StudentEval: A Benchmark of Student-Written Prompts for Large Language Models of Code
ACL 2024
DB-LLM: Accurate Dual-Binarization for Efficient LLMs
ACL 2024
Critical Learning Periods: Leveraging Early Training Dynamics for Efficient Data Pruning
ACL 2024
An Empirical Study on Parameter-Efficient Fine-Tuning for MultiModal Large Language Models
ACL 2024
Codec-SUPERB: An In-Depth Analysis of Sound Codec Models
ACL 2024
Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts
ACL 2024
Centroid-Based Efficient Minimum Bayes Risk Decoding
ACL 2024
Accelerating Multilingual Language Model for Excessively Tokenized Languages
ACL 2024
StableToolBench: Towards Stable Large-Scale Benchmarking on Tool Learning of Large Language Models
ACL 2024
Graph-Structured Speculative Decoding
ACL 2024
Cache & Distil: Optimising API Calls to Large Language Models
ACL 2024
A Comprehensive Evaluation of Quantization Strategies for Large Language Models
ACL 2024
AdaLomo: Low-memory Optimization with Adaptive Learning Rate
ACL 2024
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