Pre-Training to Learn in Context

Pre-Training to Learn in Context

16 May 2023

Papers citing "Pre-Training to Learn in Context"

19 / 19 papers shown

Title
MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning Murtadha Ahmed Wenbo Liu yunfeng 41 0 0 02 May 2025
CPRM: A LLM-based Continual Pre-training Framework for Relevance Modeling in Commercial Search Kaixin Wu Yixin Ji Z. Chen Qiang Wang Cunxiang Wang ... Jia Xu Zhongyi Liu Jinjie Gu Yuan Zhou Linjian Mo KELM CLL 92 0 0 02 Dec 2024
MiniPLM: Knowledge Distillation for Pre-Training Language Models Yuxian Gu Hao Zhou Fandong Meng Jie Zhou Minlie Huang 67 5 0 22 Oct 2024
Data Selection via Optimal Control for Language Models Yuxian Gu Li Dong Hongning Wang Y. Hao Qingxiu Dong Furu Wei Minlie Huang AI4CE 52 4 0 09 Oct 2024
Wrong-of-Thought: An Integrated Reasoning Framework with Multi-Perspective Verification and Wrong Information Yongheng Zhang Qiguang Chen Jingxuan Zhou Peng Wang Jiasheng Si Jin Wang Wenpeng Lu Libo Qin LRM 46 3 0 06 Oct 2024
FabGPT: An Efficient Large Multimodal Model for Complex Wafer Defect Knowledge Queries Yuqi Jiang Xudong Lu Qian Jin Qi Sun Hanming Wu Cheng Zhuo 36 5 0 15 Jul 2024
Token-based Decision Criteria Are Suboptimal in In-context Learning Hakaze Cho Yoshihiro Sakai Mariko Kato Kenshiro Tanaka Akira Ishii Naoya Inoue 46 2 0 24 Jun 2024
XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning Alexander Nikulin Ilya Zisman Alexey Zemtsov Viacheslav Sinii 107 4 0 13 Jun 2024
Analysing The Impact of Sequence Composition on Language Model Pre-Training Yu Zhao Yuanbin Qu Konrad Staniszewski Szymon Tworkowski Wei Liu Piotr Milo's Yuxiang Wu Pasquale Minervini 34 14 0 21 Feb 2024
In-context Learning and Induction Heads Catherine Olsson Nelson Elhage Neel Nanda Nicholas Joseph Nova Dassarma ... Tom B. Brown Jack Clark Jared Kaplan Sam McCandlish C. Olah 250 460 0 24 Sep 2022
Prototypical Calibration for Few-shot Learning of Language Models Zhixiong Han Y. Hao Li Dong Yutao Sun Furu Wei 175 52 0 20 May 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 313 11,953 0 04 Mar 2022
PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts Stephen H. Bach Victor Sanh Zheng-Xin Yong Albert Webson Colin Raffel ... Khalid Almubarak Xiangru Tang Dragomir R. Radev Mike Tian-Jian Jiang Alexander M. Rush VLM 225 338 0 02 Feb 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization Victor Sanh Albert Webson Colin Raffel Stephen H. Bach Lintang Sutawika ... T. Bers Stella Biderman Leo Gao Thomas Wolf Alexander M. Rush LRM 213 1,657 0 15 Oct 2021
Meta-learning via Language Model In-context Tuning Yanda Chen Ruiqi Zhong Sheng Zha George Karypis He He 234 156 0 15 Oct 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 1,121 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 1,450 0 18 Mar 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 240 4,469 0 23 Jan 2020