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Efficient Computing

1,579 papers

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Papers

RevMUX: Data Multiplexing with Reversible Adapters for Efficient LLM Batch Inference EMNLP 2024
TinyAgent: Function Calling at the Edge EMNLP 2024
Xinference: Making Large Model Serving Easy EMNLP 2024
FastAdaSP: Multitask-Adapted Efficient Inference for Large Speech Language Model EMNLP 2024
TensorOpera Router: A Multi-Model Router for Efficient LLM Inference 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
A Cost-Efficient Modular Sieve for Extracting Product Information from Company Websites EMNLP 2024
Draft on the Fly: Adaptive Self-Speculative Decoding using Cosine Similarity EMNLP 2024
In-Context Former: Lightning-fast Compressing Context for Large Language Model EMNLP 2024
LoRAN: Improved Low-Rank Adaptation by a Non-Linear Transformation EMNLP 2024
KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches EMNLP 2024
Context-Driven Index Trimming: A Data Quality Perspective to Enhancing Precision of RALMs 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
On the token distance modeling ability of higher RoPE attention dimension EMNLP 2024
SCA: Selective Compression Attention for Efficiently Extending the Context Window of Large Language Models EMNLP 2024
An Empirical Study on Cross-lingual Vocabulary Adaptation for Efficient Language Model Inference EMNLP 2024
LongHeads: Multi-Head Attention is Secretly a Long Context Processor EMNLP 2024
MobileQuant: Mobile-friendly Quantization for On-device Language Models EMNLP 2024
PromptIntern: Saving Inference Costs by Internalizing Recurrent Prompt during Large Language Model Fine-tuning EMNLP 2024
In2Core: Leveraging Influence Functions for Coreset Selection in Instruction Finetuning of Large Language Models EMNLP 2024
Optimize Weight Rounding via Signed Gradient Descent for the Quantization of LLMs EMNLP 2024
Revisiting the Impact of Pursuing Modularity for Code Generation EMNLP 2024
Fast Matrix Multiplications for Lookup Table-Quantized LLMs EMNLP 2024