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Efficient Computing

6,876 papers

Papers per year

Papers

Fishing for Magikarp: Automatically Detecting Under-trained Tokens in Large Language Models EMNLP 2024
LoRA-Guard: Parameter-Efficient Guardrail Adaptation for Content Moderation of Large Language Models EMNLP 2024
Segment Any Text: A Universal Approach for Robust, Efficient and Adaptable Sentence Segmentation EMNLP 2024
Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation Models EMNLP 2024
Make Some Noise: Unlocking Language Model Parallel Inference Capability through Noisy Training EMNLP 2024
Turn Waste into Worth: Rectifying Top-k Router of MoE EMNLP 2024
Ouroboros: Generating Longer Drafts Phrase by Phrase for Faster Speculative Decoding EMNLP 2024
MAIR: A Massive Benchmark for Evaluating Instructed Retrieval EMNLP 2024
Scalable Efficient Training of Large Language Models with Low-dimensional Projected Attention EMNLP 2024
Not Everything is All You Need: Toward Low-Redundant Optimization for Large Language Model Alignment EMNLP 2024
ECCO: Can We Improve Model-Generated Code Efficiency Without Sacrificing Functional Correctness? EMNLP 2024
Text Fluoroscopy: Detecting LLM-Generated Text through Intrinsic Features EMNLP 2024
InfiniPot: Infinite Context Processing on Memory-Constrained LLMs EMNLP 2024
Free your mouse! Command Large Language Models to Generate Code to Format Word Documents EMNLP 2024
Exploring Space Efficiency in a Tree-based Linear Model for Extreme Multi-label Classification EMNLP 2024
Scaling Laws for Linear Complexity Language Models EMNLP 2024
BPE Gets Picky: Efficient Vocabulary Refinement During Tokenizer Training EMNLP 2024
SEGMENT+: Long Text Processing with Short-Context Language Models EMNLP 2024
On Efficient Language and Vision Assistants for Visually-Situated Natural Language Understanding: What Matters in Reading and Reasoning EMNLP 2024
Foundational Autoraters: Taming Large Language Models for Better Automatic Evaluation EMNLP 2024
LLoCO: Learning Long Contexts Offline EMNLP 2024
Calibrating Language Models with Adaptive Temperature Scaling EMNLP 2024
HiFT: A Hierarchical Full Parameter Fine-Tuning Strategy EMNLP 2024
A Simple and Effective L_2 Norm-Based Strategy for KV Cache Compression EMNLP 2024
CHESS: Optimizing LLM Inference via Channel-Wise Thresholding and Selective Sparsification EMNLP 2024