Adversarial Databases Improve Success in Retrieval-based Large Language Models

19 July 2024

Papers citing "Adversarial Databases Improve Success in Retrieval-based Large Language Models"

5 / 5 papers shown

Title
Mixtral of Experts Albert Q. Jiang Alexandre Sablayrolles Antoine Roux A. Mensch Blanche Savary ... Théophile Gervet Thibaut Lavril Thomas Wang Timothée Lacroix William El Sayed MoE LLMAG 73 1,049 0 08 Jan 2024
Zephyr: Direct Distillation of LM Alignment Lewis Tunstall E. Beeching Nathan Lambert Nazneen Rajani Kashif Rasul ... Nathan Habib Nathan Sarrazin Omar Sanseviero Alexander M. Rush Thomas Wolf ALM 59 382 0 25 Oct 2023
A Comparative Study of Open-Source Large Language Models, GPT-4 and Claude 2: Multiple-Choice Test Taking in Nephrology Sean Wu Michael Koo L. Blum A. Black Liyo Kao Fabien Scalzo Ira Kurtz LM&MA ELM AI4MH 29 44 0 09 Aug 2023
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter Victor Sanh Lysandre Debut Julien Chaumond Thomas Wolf 117 7,386 0 02 Oct 2019
Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) Network A. Sherstinsky 56 3,654 0 09 Aug 2018