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Efficient Computing

6,876 papers

Papers per year

Papers

XC-Cache: Cross-Attending to Cached Context for Efficient LLM Inference EMNLP 2024
Eigen Attention: Attention in Low-Rank Space for KV Cache Compression EMNLP 2024
Cost-Performance Optimization for Processing Low-Resource Language Tasks Using Commercial LLMs EMNLP 2024
How Does Quantization Affect Multilingual LLMs? EMNLP 2024
VarBench: Robust Language Model Benchmarking Through Dynamic Variable Perturbation EMNLP 2024
When Compression Meets Model Compression: Memory-Efficient Double Compression for Large Language Models EMNLP 2024
PythonSaga: Redefining the Benchmark to Evaluate Code Generating LLMs EMNLP 2024
Efficient Aspect-Based Summarization of Climate Change Reports with Small Language Models EMNLP 2024
Blocks Architecture (BloArk): Efficient, Cost-Effective, and Incremental Dataset Architecture for Wikipedia Revision History EMNLP 2024
Are LLMs Breaking MT Metrics? Results of the WMT24 Metrics Shared Task EMNLP 2024
MetaMetrics-MT: Tuning Meta-Metrics for Machine Translation via Human Preference Calibration EMNLP 2024
Enhancing Translation Quality: A Comparative Study of Fine-Tuning and Prompt Engineering in Dialog-Oriented Machine Translation Systems. Insights from the MULTITAN-GML Team EMNLP 2024
Improving Statistical Significance in Human Evaluation of Automatic Metrics via Soft Pairwise Accuracy EMNLP 2024
Pitfalls and Outlooks in Using COMET EMNLP 2024
Attribution Quality Metrics with Magnitude Alignment IJCAI 2024
MetaISP: Efficient RAW-to-sRGB Mappings with Merely 1M Parameters IJCAI 2024
A Lightweight U-like Network Utilizing Neural Memory Ordinary Differential Equations for Slimming the Decoder IJCAI 2024
Hundred-Kilobyte Lookup Tables for Efficient Single-Image Super-Resolution IJCAI 2024
Dual Enhancement in ODI Super-Resolution: Adapting Convolution and Upsampling to Projection Distortion IJCAI 2024
LeMeViT: Efficient Vision Transformer with Learnable Meta Tokens for Remote Sensing Image Interpretation IJCAI 2024
Efficient Screen Content Image Compression via Superpixel-based Content Aggregation and Dynamic Feature Fusion IJCAI 2024
Hundredfold Accelerating for Pathological Images Diagnosis and Prognosis through Self-reform Critical Region Focusing IJCAI 2024
Make Bricks with a Little Straw: Large-Scale Spatio-Temporal Graph Learning with Restricted GPU-Memory Capacity IJCAI 2024
WeatherGNN: Exploiting Meteo- and Spatial-Dependencies for Local Numerical Weather Prediction Bias-Correction IJCAI 2024
LitE-SNN: Designing Lightweight and Efficient Spiking Neural Network through Spatial-Temporal Compressive Network Search and Joint Optimization IJCAI 2024