In-Context Former: Lightning-fast Compressing Context for Large Language
Model

In-Context Former: Lightning-fast Compressing Context for Large Language Model

19 June 2024

Xiangfeng Wang

Enhong Chen

Papers citing "In-Context Former: Lightning-fast Compressing Context for Large Language Model"

7 / 7 papers shown

Title
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Akari Asai Zeqiu Wu Yizhong Wang Avirup Sil Hannaneh Hajishirzi RALM 147 621 0 17 Oct 2023
Walking Down the Memory Maze: Beyond Context Limit through Interactive Reading Howard Chen Ramakanth Pasunuru Jason Weston Asli Celikyilmaz RALM 68 72 0 08 Oct 2023
Unlimiformer: Long-Range Transformers with Unlimited Length Input Amanda Bertsch Uri Alon Graham Neubig Matthew R. Gormley RALM 94 122 0 02 May 2023
mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality Qinghao Ye Haiyang Xu Guohai Xu Jiabo Ye Ming Yan ... Junfeng Tian Qiang Qi Ji Zhang Feiyan Huang Jingren Zhou VLM MLLM 206 899 0 27 Apr 2023
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,835 0 18 Apr 2021
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 245 1,977 0 31 Dec 2020
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov Kai Chen G. Corrado J. Dean 3DV 228 31,150 0 16 Jan 2013