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Efficient Computing

6,876 papers

Papers per year

Papers

SPEED: Experimental Design for Policy Evaluation in Linear Heteroscedastic Bandits AISTATS 2024
Training a Tucker Model With Shared Factors: a Riemannian Optimization Approach AISTATS 2024
Timing as an Action: Learning When to Observe and Act AISTATS 2024
Holographic Global Convolutional Networks for Long-Range Prediction Tasks in Malware Detection AISTATS 2024
FALCON: FLOP-Aware Combinatorial Optimization for Neural Network Pruning AISTATS 2024
Coreset Markov chain Monte Carlo AISTATS 2024
A CURATEd CATalog: Rethinking the Extraction of Pretraining Corpora for Mid-Resourced Languages COLING 2024
A Lightweight Approach to a Giga-Corpus of Historical Periodicals: The Story of a Slovenian Historical Newspaper Collection COLING 2024
Can Multiple-choice Questions Really Be Useful in Detecting the Abilities of LLMs? COLING 2024
Code Defect Detection Using Pre-trained Language Models with Encoder-Decoder via Line-Level Defect Localization COLING 2024
Data-Informed Global Sparseness in Attention Mechanisms for Deep Neural Networks COLING 2024
Decoding at the Speed of Thought: Harnessing Parallel Decoding of Lexical Units for LLMs COLING 2024
Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical Study COLING 2024
EEE-QA: Exploring Effective and Efficient Question-Answer Representations COLING 2024
Enhancing Parameter-efficient Fine-tuning with Simple Calibration Based on Stable Rank COLING 2024
EpiGEN: An Efficient Multi-Api Code GENeration Framework under Enterprise Scenario COLING 2024
Evaluating Unsupervised Dimensionality Reduction Methods for Pretrained Sentence Embeddings COLING 2024
Evaluating Workflows for Creating Orthographic Transcripts for Oral Corpora by Transcribing from Scratch or Correcting ASR-Output COLING 2024
Find-the-Common: A Benchmark for Explaining Visual Patterns from Images COLING 2024
FlattenQuant: Breaking through the Inference Compute-bound for Large Language Models with Per-tensor Quantization COLING 2024
From Linguistic Linked Data to Big Data COLING 2024
Improving Personalized Sentiment Representation with Knowledge-enhanced and Parameter-efficient Layer Normalization COLING 2024
INMT-Lite: Accelerating Low-Resource Language Data Collection via Offline Interactive Neural Machine Translation COLING 2024
LinguaMeta: Unified Metadata for Thousands of Languages COLING 2024
LoNAS: Elastic Low-Rank Adapters for Efficient Large Language Models COLING 2024