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Efficient Computing

6,876 papers

Papers per year

Papers

MemoryPrompt: A Light Wrapper to Improve Context Tracking in Pre-trained Language Models COLING 2024
NLoPT: N-gram Enhanced Low-Rank Task Adaptive Pre-training for Efficient Language Model Adaption COLING 2024
On the Adaptation of Unlimiformer for Decoder-Only Transformers COLING 2024
On the Way to Lossless Compression of Language Transformers: Exploring Cross-Domain Properties of Quantization COLING 2024
Palmyra 3.0: A User-Friendly Cloud-Based Platform for Morphology and Dependency Syntax Annotation COLING 2024
Parameter-Efficient Transfer Learning for End-to-end Speech Translation COLING 2024
Pruning before Fine-tuning: A Retraining-free Compression Framework for Pre-trained Language Models COLING 2024
RoCoIns: Enhancing Robustness of Large Language Models through Code-Style Instructions COLING 2024
Small Language Models Are Good Too: An Empirical Study of Zero-Shot Classification COLING 2024
SmartTrim: Adaptive Tokens and Attention Pruning for Efficient Vision-Language Models COLING 2024
Tackling Long Code Search with Splitting, Encoding, and Aggregating COLING 2024
Towards Human-aligned Evaluation for Linear Programming Word Problems COLING 2024
From Multimodal LLM to Human-level AI: Modality, Instruction, Reasoning, Efficiency and beyond COLING 2024
Generating Synthetic Documents with Clinical Keywords: A Privacy-Sensitive Methodology COLING 2024
Turkish Typo Correction for E-Commerce Search Engines COLING 2024
Linguistic LOD for Interoperable Morphological Description COLING 2024
Quantitative Analysis of Editing in Transcription Process in Japanese and European Parliaments and its Diachronic Changes COLING 2024
One Year of Continuous and Automatic Data Gathering from Parliaments of European Union Member States COLING 2024
Language Models on a Diet: Cost-Efficient Development of Encoders for Closely-Related Languages via Additional Pretraining COLING 2024
Nepal Script Text Recognition Using CRNN CTC Architecture COLING 2024
Residual Dropout: A Simple Approach to Improve Transformer’s Data Efficiency COLING 2024
Work in Progress: Text-to-speech on Edge Devices for Te Reo Māori and ‘Ōlelo Hawaiʻi COLING 2024
Language-Specific Pruning for Efficient Reduction of Large Language Models COLING 2024
Global-Pruner: A Stable and Efficient Pruner for Retraining-Free Pruning of Encoder-Based Language Models CONLL 2024
Multi-criteria Token Fusion with One-step-ahead Attention for Efficient Vision Transformers CVPR 2024