Mitigating Label Biases for In-context Learning

28 May 2023

Papers citing "Mitigating Label Biases for In-context Learning"

23 / 23 papers shown

Title
Incomplete In-context Learning Wenqiang Wang Yangshijie Zhang 39 0 0 12 May 2025
Aligning Black-box Language Models with Human Judgments Gerrit J. J. van den Burg Gen Suzuki Wei Liu Murat Sensoy ALM 82 0 0 07 Feb 2025
PICLe: Pseudo-Annotations for In-Context Learning in Low-Resource Named Entity Detection Sepideh Mamooler Syrielle Montariol Alexander Mathis Antoine Bosselut 95 1 0 16 Dec 2024
Task Calibration: Calibrating Large Language Models on Inference Tasks Yingjie Li Yun Luo Xiaotian Xie Yue Zhang LRM 21 0 0 24 Oct 2024
On Calibration of LLM-based Guard Models for Reliable Content Moderation Hongfu Liu Hengguan Huang Hao Wang Xiangming Gu Ye Wang 60 2 0 14 Oct 2024
Token-based Decision Criteria Are Suboptimal in In-context Learning Hakaze Cho Yoshihiro Sakai Mariko Kato Kenshiro Tanaka Akira Ishii Naoya Inoue 46 3 0 24 Jun 2024
Unveiling Selection Biases: Exploring Order and Token Sensitivity in Large Language Models Sheng-Lun Wei Cheng-Kuang Wu Hen-Hsen Huang Hsin-Hsi Chen 39 11 0 05 Jun 2024
Take Care of Your Prompt Bias! Investigating and Mitigating Prompt Bias in Factual Knowledge Extraction Ziyang Xu Keqin Peng Liang Ding Dacheng Tao Xiliang Lu 34 10 0 15 Mar 2024
Rectifying Demonstration Shortcut in In-Context Learning Joonwon Jang Sanghwan Jang Wonbin Kweon Minjin Jeon Hwanjo Yu 40 1 0 14 Mar 2024
On the Challenges and Opportunities in Generative AI Laura Manduchi Kushagra Pandey Robert Bamler Ryan Cotterell Sina Daubener ... F. Wenzel Frank Wood Stephan Mandt Vincent Fortuin Vincent Fortuin 56 17 0 28 Feb 2024
$Se^2$ : Sequential Example Selection for In-Context Learning Haoyu Liu Jianfeng Liu Shaohan Huang Yuefeng Zhan Hao Sun Weiwei Deng Furu Wei Qi Zhang 38 3 0 21 Feb 2024
NoisyICL: A Little Noise in Model Parameters Calibrates In-context Learning Yufeng Zhao Yoshihiro Sakai Naoya Inoue 33 5 0 08 Feb 2024
Positional Information Matters for Invariant In-Context Learning: A Case Study of Simple Function Classes Yongqiang Chen Binghui Xie Kaiwen Zhou Bo Han Yatao Bian James Cheng 35 3 0 30 Nov 2023
Multi-label and Multi-target Sampling of Machine Annotation for Computational Stance Detection Zhengyuan Liu Hai Leong Chieu Nancy F. Chen 29 1 0 08 Nov 2023
Primacy Effect of ChatGPT Yiwei Wang Yujun Cai Muhao Chen Keli Zhang Bryan Hooi ALM AI4MH LRM 33 15 0 20 Oct 2023
Sensitivity, Performance, Robustness: Deconstructing the Effect of Sociodemographic Prompting Tilman Beck Hendrik Schuff Anne Lauscher Iryna Gurevych 43 34 0 13 Sep 2023
TalkUp: Paving the Way for Understanding Empowering Language Lucille Njoo Chan Young Park Octavia Stappart Marvin Thielk Yi Chu Yulia Tsvetkov 24 3 0 23 May 2023
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 372 12,081 0 04 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 416 8,650 0 28 Jan 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
What Makes Good In-Context Examples for GPT- $3$ ? Jiachang Liu Dinghan Shen Yizhe Zhang Bill Dolan Lawrence Carin Weizhu Chen AAML RALM 275 1,313 0 17 Jan 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 243 1,927 0 31 Dec 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 258 1,591 0 21 Jan 2020