most citedLlama 2: Open Foundation and Fine-Tuned Chat Models

2.7k citations · 2.7k across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL20231 cited

Battle of the Large Language Models: Dolly vs LLaMA vs Vicuna vs Guanaco vs Bard vs ChatGPT -- A Text-to-SQL Parsing Comparison

Shuo Sun, Yuchen Zhang, Jiahuan Yan +4

The success of ChatGPT has ignited an AI race, with researchers striving to develop new large language models (LLMs) that can match or surpass the language understanding and genera…

cs.CL20232.7k cited

Llama 2: Open Foundation and Fine-Tuned Chat Models

Hugo Touvron, Louis Martin, Kevin Stone +65

In this work, we develop and release Llama 2, a collection of pretrained and fine-tuned large language models (LLMs) ranging in scale from 7 billion to 70 billion parameters. Our f…

cs.CL20232 cited

Rethinking Masked Language Modeling for Chinese Spelling Correction

Hongqiu Wu, Shaohua Zhang, Yuchen Zhang +1

In this paper, we study Chinese Spelling Correction (CSC) as a joint decision made by two separate models: a language model and an error model. Through empirical analysis, we find…

cs.LG201619 cited

Convexified Convolutional Neural Networks

Yuchen Zhang, Percy Liang, Martin J. Wainwright

We describe the class of convexified convolutional neural networks (CCNNs), which capture the parameter sharing of convolutional neural networks in a convex manner. By representing…

stat.ML201640 cited

Local Maxima in the Likelihood of Gaussian Mixture Models: Structural Results and Algorithmic Consequences

Chi Jin, Yuchen Zhang, Sivaraman Balakrishnan +2

We provide two fundamental results on the population (infinite-sample) likelihood function of Gaussian mixture models with components. Our first main result shows that t…