Yuchen Cheng

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upvoted 3 papers 3 months ago

NanoFlow: Towards Optimal Large Language Model Serving Throughput

Paper • 2408.12757 • Published Aug 22 • 15

Transformer Explainer: Interactive Learning of Text-Generative Models

Paper • 2408.04619 • Published Aug 8 • 155

The Llama 3 Herd of Models

Paper • 2407.21783 • Published Jul 31 • 107

upvoted a paper 4 months ago

Inference Performance Optimization for Large Language Models on CPUs

Paper • 2407.07304 • Published Jul 10 • 52

upvoted a paper 5 months ago

PowerInfer-2: Fast Large Language Model Inference on a Smartphone

Paper • 2406.06282 • Published Jun 10 • 36

upvoted 5 papers 6 months ago

Reducing Transformer Key-Value Cache Size with Cross-Layer Attention

Paper • 2405.12981 • Published May 21 • 28

Layer-Condensed KV Cache for Efficient Inference of Large Language Models

Paper • 2405.10637 • Published May 17 • 19

MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning

Paper • 2405.12130 • Published May 20 • 45

Better & Faster Large Language Models via Multi-token Prediction

Paper • 2404.19737 • Published Apr 30 • 73

KAN: Kolmogorov-Arnold Networks

Paper • 2404.19756 • Published Apr 30 • 108

upvoted 6 papers 7 months ago

Multi-Head Mixture-of-Experts

Paper • 2404.15045 • Published Apr 23 • 59

OpenELM: An Efficient Language Model Family with Open-source Training and Inference Framework

Paper • 2404.14619 • Published Apr 22 • 124

Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Paper • 2404.14219 • Published Apr 22 • 253

RULER: What's the Real Context Size of Your Long-Context Language Models?

Paper • 2404.06654 • Published Apr 9 • 33

Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention

Paper • 2404.07143 • Published Apr 10 • 103

Mixture-of-Depths: Dynamically allocating compute in transformer-based language models

Paper • 2404.02258 • Published Apr 2 • 104

upvoted 4 papers 8 months ago

Jamba: A Hybrid Transformer-Mamba Language Model

Paper • 2403.19887 • Published Mar 28 • 104

Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression

Paper • 2403.15447 • Published Mar 18 • 16

MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training

Paper • 2403.09611 • Published Mar 14 • 124

Gemma: Open Models Based on Gemini Research and Technology

Paper • 2403.08295 • Published Mar 13 • 47