On the Noise Robustness of In-Context Learning for Text Generation

27 May 2024

Papers citing "On the Noise Robustness of In-Context Learning for Text Generation"

28 / 28 papers shown

Title
LLMs as Workers in Human-Computational Algorithms? Replicating Crowdsourcing Pipelines with LLMs Tongshuang Wu Haiyi Zhu Maya Albayrak Alexis Axon Amanda Bertsch ... Ying-Jui Tseng Patricia Vaidos Zhijin Wu Wei Wu Chenyang Yang 148 34 0 10 Jan 2025
In-Context Learning with Iterative Demonstration Selection Chengwei Qin Aston Zhang Chong Chen Anirudh Dagar Wenming Ye LRM 147 54 0 31 Dec 2024
From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder Pipeline Tianle Li Wei-Lin Chiang Evan Frick Lisa Dunlap Tianhao Wu Banghua Zhu Joseph E. Gonzalez Ion Stoica ALM 84 181 0 17 Jun 2024
IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models Shaokun Zhang Xiaobo Xia Zhaoqing Wang Ling-Hao Chen Jiale Liu Qingyun Wu Tongliang Liu 70 21 0 16 Oct 2023
Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena Lianmin Zheng Wei-Lin Chiang Ying Sheng Siyuan Zhuang Zhanghao Wu ... Dacheng Li Eric Xing Haotong Zhang Joseph E. Gonzalez Ion Stoica ALM OSLM ELM 418 4,422 0 09 Jun 2023
Handling Realistic Label Noise in BERT Text Classification M. Agro Hanan Aldarmaki NoLa 82 3 0 23 May 2023
Dr.ICL: Demonstration-Retrieved In-context Learning Man Luo Xin Xu Zhuyun Dai Panupong Pasupat Mehran Kazemi Chitta Baral Vaiva Imbrasaite Vincent Zhao RALM 110 57 0 23 May 2023
Symbol tuning improves in-context learning in language models Jerry W. Wei Le Hou Andrew Kyle Lampinen Xiangning Chen Da Huang ... Xinyun Chen Yifeng Lu Denny Zhou Tengyu Ma Quoc V. Le LRM 71 80 0 15 May 2023
Unified Demonstration Retriever for In-Context Learning Xiaonan Li Kai Lv Hang Yan Tianya Lin Wei-wei Zhu Yuan Ni Guotong Xie Xiaoling Wang Xipeng Qiu RALM VPVLM 75 141 0 07 May 2023
What Makes Good Examples for Visual In-Context Learning? Yuanhan Zhang Kaiyang Zhou Ziwei Liu MLLM VPVLM VLM LRM 79 117 0 31 Jan 2023
Self-Adaptive In-Context Learning: An Information Compression Perspective for In-Context Example Selection and Ordering Zhiyong Wu Yaoxiang Wang Jiacheng Ye Lingpeng Kong 86 138 0 20 Dec 2022
NLIP: Noise-robust Language-Image Pre-training Runhu Huang Yanxin Long Jianhua Han Hang Xu Xiwen Liang Chunjing Xu Xiaodan Liang VLM 88 30 0 14 Dec 2022
Diverse Demonstrations Improve In-context Compositional Generalization Itay Levy Ben Bogin Jonathan Berant 87 145 0 13 Dec 2022
Demystifying Prompts in Language Models via Perplexity Estimation Hila Gonen Srini Iyer Terra Blevins Noah A. Smith Luke Zettlemoyer LRM 124 213 0 08 Dec 2022
Multi-Level Knowledge Distillation for Out-of-Distribution Detection in Text Qianhui Wu Huiqiang Jiang Haonan Yin Börje F. Karlsson Chin-Yew Lin 93 12 0 21 Nov 2022
Automatic Chain of Thought Prompting in Large Language Models Zhuosheng Zhang Aston Zhang Mu Li Alexander J. Smola ReLM LRM 150 632 0 07 Oct 2022
Seq-UPS: Sequential Uncertainty-aware Pseudo-label Selection for Semi-Supervised Text Recognition Gaurav Patel J. Allebach Qiang Qiu UQLM 75 17 0 31 Aug 2022
Evaluating the Impact of Model Scale for Compositional Generalization in Semantic Parsing Linlu Qiu Peter Shaw Panupong Pasupat Tianze Shi Jonathan Herzig Emily Pitler Fei Sha Kristina Toutanova AI4CE LRM 118 54 0 24 May 2022
Is BERT Robust to Label Noise? A Study on Learning with Noisy Labels in Text Classification D. Zhu Michael A. Hedderich Fangzhou Zhai David Ifeoluwa Adelani Dietrich Klakow NoLa 76 33 0 20 Apr 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 843 9,644 0 28 Jan 2022
Learning To Retrieve Prompts for In-Context Learning Ohad Rubin Jonathan Herzig Jonathan Berant VPVLM RALM 86 708 0 16 Dec 2021
Two Wrongs Don't Make a Right: Combating Confirmation Bias in Learning with Label Noise Mingcai Chen Hao Cheng Yuntao Du Ming Xu Wenyu Jiang Chongjun Wang NoLa 50 26 0 06 Dec 2021
MetaICL: Learning to Learn In Context Sewon Min M. Lewis Luke Zettlemoyer Hannaneh Hajishirzi LRM 223 490 0 29 Oct 2021
Detecting Corrupted Labels Without Training a Model to Predict Zhaowei Zhu Zihao Dong Yang Liu NoLa 185 68 0 12 Oct 2021
What Makes Good In-Context Examples for GPT- $3$ ? Jiachang Liu Dinghan Shen Yizhe Zhang Bill Dolan Lawrence Carin Weizhu Chen AAML RALM 390 1,389 0 17 Jan 2021
Normalized Loss Functions for Deep Learning with Noisy Labels Xingjun Ma Hanxun Huang Yisen Wang Simone Romano S. Erfani James Bailey NoLa 73 445 0 24 Jun 2020
NL2Bash: A Corpus and Semantic Parser for Natural Language Interface to the Linux Operating System Xi Lin Chenglong Wang Luke Zettlemoyer Michael D. Ernst 132 168 0 25 Feb 2018
SQuAD: 100,000+ Questions for Machine Comprehension of Text Pranav Rajpurkar Jian Zhang Konstantin Lopyrev Percy Liang RALM 316 8,169 0 16 Jun 2016