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Efficient Computing

1253 directly classified papers

Papers per year

Papers

An Empirical Study on Cross-lingual Vocabulary Adaptation for Efficient Language Model Inference EMNLP 2024
PromptIntern: Saving Inference Costs by Internalizing Recurrent Prompt during Large Language Model Fine-tuning EMNLP 2024
In Defense of Structural Sparse Adapters for Concurrent LLM Serving EMNLP 2024
Normalized Narrow Jump To Conclusions: Normalized Narrow Shortcuts for Parameter Efficient Early Exit Transformer Prediction EMNLP 2024
Attention-Driven Training-Free Efficiency Enhancement of Diffusion Models CVPR 2024
On the token distance modeling ability of higher RoPE attention dimension EMNLP 2024
In2Core: Leveraging Influence Functions for Coreset Selection in Instruction Finetuning of Large Language Models EMNLP 2024
AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising NIPS 2024
LoRAN: Improved Low-Rank Adaptation by a Non-Linear Transformation EMNLP 2024
Optical Diffusion Models for Image Generation NIPS 2024
KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches EMNLP 2024
Query-OPT: Optimizing Inference of Large Language Models via Multi-Query Instructions in Meeting Summarization EMNLP 2024
Neural Search Space in Gboard Decoder EMNLP 2024
Point Transformer V3: Simpler Faster Stronger CVPR 2024
Rethinking Interactive Image Segmentation with Low Latency High Quality and Diverse Prompts CVPR 2024
Draft on the Fly: Adaptive Self-Speculative Decoding using Cosine Similarity EMNLP 2024
You Only Need Less Attention at Each Stage in Vision Transformers CVPR 2024
Make Some Noise: Unlocking Language Model Parallel Inference Capability through Noisy Training EMNLP 2024
Salience DETR: Enhancing Detection Transformer with Hierarchical Salience Filtering Refinement CVPR 2024
TensorOpera Router: A Multi-Model Router for Efficient LLM Inference EMNLP 2024
In-Context Former: Lightning-fast Compressing Context for Large Language Model EMNLP 2024
Context-Driven Index Trimming: A Data Quality Perspective to Enhancing Precision of RALMs EMNLP 2024
Scalable Data Ablation Approximations for Language Models through Modular Training and Merging EMNLP 2024
AsCAN: Asymmetric Convolution-Attention Networks for Efficient Recognition and Generation NIPS 2024
Homology Consistency Constrained Efficient Tuning for Vision-Language Models NIPS 2024