Batch-ICL: Effective, Efficient, and Order-Agnostic In-Context Learning

Batch-ICL: Effective, Efficient, and Order-Agnostic In-Context Learning

12 January 2024

Rui Yan

Papers citing "Batch-ICL: Effective, Efficient, and Order-Agnostic In-Context Learning"

9 / 9 papers shown

Title
Rethinking Invariance in In-context Learning Lizhe Fang Yifei Wang Khashayar Gatmiry Lei Fang Yishuo Wang 59 3 0 08 May 2025
Language Models "Grok" to Copy Ang Lv Ruobing Xie Xingwu Sun Zhanhui Kang Rui Yan LLMAG 53 2 0 14 Sep 2024
MILE: A Mutation Testing Framework of In-Context Learning Systems Zeming Wei Yihao Zhang Meng Sun 50 0 0 07 Sep 2024
Eliminating Position Bias of Language Models: A Mechanistic Approach Ziqi Wang Hanlin Zhang Xiner Li Kuan-Hao Huang Chi Han Shuiwang Ji Sham Kakade Hao Peng Heng Ji 62 12 0 01 Jul 2024
From Skepticism to Acceptance: Simulating the Attitude Dynamics Toward Fake News Yuhan Liu Preslav Nakov Xiaoqing Zhang Xing Gao Ji Zhang Rui Yan AI4CE 26 26 0 14 Mar 2024
Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 small Kevin Wang Alexandre Variengien Arthur Conmy Buck Shlegeris Jacob Steinhardt 215 507 0 01 Nov 2022
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 252 474 0 24 Sep 2022
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 281 1,125 0 18 Apr 2021
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 299 6,996 0 20 Apr 2018