Retentive Network: A Successor to Transformer for Large Language Models

Retentive Network: A Successor to Transformer for Large Language Models

17 July 2023

Papers citing "Retentive Network: A Successor to Transformer for Large Language Models"

8 / 208 papers shown

Title
Gated recurrent neural networks discover attention Nicolas Zucchet Seijin Kobayashi Yassir Akram J. Oswald Maxime Larcher Angelika Steger João Sacramento 36 8 0 04 Sep 2023
SARATHI: Efficient LLM Inference by Piggybacking Decodes with Chunked Prefills Amey Agrawal Ashish Panwar Jayashree Mohan Nipun Kwatra Bhargav S. Gulavani Ramachandran Ramjee AI4TS LRM 31 91 0 31 Aug 2023
Sparks of Large Audio Models: A Survey and Outlook S. Latif Moazzam Shoukat Fahad Shamshad Muhammad Usama Yi Ren ... Wenwu Wang Xulong Zhang Roberto Togneri Erik Cambria Björn W. Schuller LM&MA AuLLM 31 38 0 24 Aug 2023
Foundational Models Defining a New Era in Vision: A Survey and Outlook Muhammad Awais Muzammal Naseer Salman Khan Rao Muhammad Anwer Hisham Cholakkal M. Shah Ming Yang F. Khan VLM 38 118 0 25 Jul 2023
L-Eval: Instituting Standardized Evaluation for Long Context Language Models Chen An Shansan Gong Ming Zhong Xingjian Zhao Mukai Li Jun Zhang Lingpeng Kong Xipeng Qiu ELM ALM 40 132 0 20 Jul 2023
Resurrecting Recurrent Neural Networks for Long Sequences Antonio Orvieto Samuel L. Smith Albert Gu Anushan Fernando Çağlar Gülçehre Razvan Pascanu Soham De 88 266 0 11 Mar 2023
The Pile: An 800GB Dataset of Diverse Text for Language Modeling Leo Gao Stella Biderman Sid Black Laurence Golding Travis Hoppe ... Horace He Anish Thite Noa Nabeshima Shawn Presser Connor Leahy AIMat 256 1,996 0 31 Dec 2020
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism M. Shoeybi M. Patwary Raul Puri P. LeGresley Jared Casper Bryan Catanzaro MoE 245 1,821 0 17 Sep 2019