Efficient Computing

An Efficient Recipe for Long Context Extension via Middle-Focused Positional Encoding NeurIPS 2024 An Empirical Study of Distributed Deep Learning Training on Edge (Student Abstract) AAAI 2024 An Empirical Study on Cross-lingual Vocabulary Adaptation for Efficient Language Model Inference EMNLP 2024 An Empirical Study on Parameter-Efficient Fine-Tuning for MultiModal Large Language Models ACL 2024 A Neural Architecture Predictor based on GNN-Enhanced Transformer AISTATS 2024 A Neural-Preconditioned Poisson Solver for Mixed Dirichlet and Neumann Boundary Conditions ICML 2024 An Extensible Framework for Open Heterogeneous Collaborative Perception ICLR 2024 An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models ECCV 2024 An Information Bottleneck Perspective for Effective Noise Filtering on Retrieval-Augmented Generation ACL 2024 An Information Theoretic Perspective on Conformal Prediction NeurIPS 2024 AnnoPlot: Interactive Visualizations of Text Annotations EACL 2024 Annotation-Efficient Strategy for Segmentation of 3D Body Composition MIDL 2024 Anomaly Score: Evaluating Generative Models and Individual Generated Images based on Complexity and Vulnerability CVPR 2024 Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs ICML 2024 A Parameter-efficient Language Extension Framework for Multilingual ASR Interspeech 2024 API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs ACL 2024 ApiQ: Finetuning of 2-Bit Quantized Large Language Model EMNLP 2024 Approximated Orthogonal Projection Unit: Stabilizing Regression Network Training Using Natural Gradient NeurIPS 2024 Approximate Nearest Neighbor Search with Window Filters ICML 2024 A Provably Effective Method for Pruning Experts in Fine-tuned Sparse Mixture-of-Experts ICML 2024 APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference ICML 2024 Arbitrary-Scale Video Super-resolution Guided by Dynamic Context AAAI 2024 Are Conventional SNNs Really Efficient? A Perspective from Network Quantization CVPR 2024 Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation? NeurIPS 2024 Are LLMs Breaking MT Metrics? Results of the WMT24 Metrics Shared Task EMNLP 2024