Naive Bayes-based Context Extension for Large Language Models

Naive Bayes-based Context Extension for Large Language Models

26 March 2024

Papers citing "Naive Bayes-based Context Extension for Large Language Models"

11 / 11 papers shown

Title
MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning Murtadha Ahmed Wenbo Liu yunfeng 41 0 0 02 May 2025
Rethinking Memory in AI: Taxonomy, Operations, Topics, and Future Directions Yiming Du Wenyu Huang Danna Zheng Zhaowei Wang Sébastien Montella Mirella Lapata Kam-Fai Wong Jeff Z. Pan KELM MU 83 2 0 01 May 2025
DAPE V2: Process Attention Score as Feature Map for Length Extrapolation Chuanyang Zheng Yihang Gao Han Shi Jing Xiong Jiankai Sun ... Xiaozhe Ren Michael Ng Xin Jiang Zhenguo Li Yu Li 36 2 0 07 Oct 2024
Pre-Training to Learn in Context Yuxian Gu Li Dong Furu Wei Minlie Huang CLIP LRM ReLM 116 37 0 16 May 2023
Prototypical Calibration for Few-shot Learning of Language Models Zhixiong Han Y. Hao Li Dong Yutao Sun Furu Wei 178 54 0 20 May 2022
Meta-learning via Language Model In-context Tuning Yanda Chen Ruiqi Zhong Sheng Zha George Karypis He He 236 157 0 15 Oct 2021
Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation Ofir Press Noah A. Smith M. Lewis 253 698 0 27 Aug 2021
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity Yao Lu Max Bartolo Alastair Moore Sebastian Riedel Pontus Stenetorp AILaw LRM 279 1,124 0 18 Apr 2021
What Makes Good In-Context Examples for GPT- $3$ ? Jiachang Liu Dinghan Shen Yizhe Zhang Bill Dolan Lawrence Carin Weizhu Chen AAML RALM 275 1,312 0 17 Jan 2021
Pre-trained Models for Natural Language Processing: A Survey Xipeng Qiu Tianxiang Sun Yige Xu Yunfan Shao Ning Dai Xuanjing Huang LM&MA VLM 243 1,452 0 18 Mar 2020
Efficient Intent Detection with Dual Sentence Encoders I. Casanueva Tadas Temvcinas D. Gerz Matthew Henderson Ivan Vulić VLM 180 453 0 10 Mar 2020