Finding Support Examples for In-Context Learning

27 February 2023

Xipeng Qiu

Papers citing "Finding Support Examples for In-Context Learning"

50 / 70 papers shown

Title
Comparing Specialised Small and General Large Language Models on Text Classification: 100 Labelled Samples to Achieve Break-Even Performance Branislav Pecher Ivan Srba M. Bieliková ALM 39 7 0 20 May 2025
Incomplete In-context Learning Wenqiang Wang Yangshijie Zhang 36 0 0 12 May 2025
Exploring the Role of Diversity in Example Selection for In-Context Learning Janak Kapuriya Manit Kaushik Debasis Ganguly S. Bhatia 22 0 0 03 May 2025
Enhancing Multimodal In-Context Learning for Image Classification through Coreset Optimization Huiyi Chen Jiawei Peng Kaihua Tang Xin Geng Xu Yang 22 0 0 19 Apr 2025
Collaborative Evolution: Multi-Round Learning Between Large and Small Language Models for Emergent Fake News Detection Ziyi Zhou Xiaoming Zhang Shenghan Tan Litian Zhang Chaozhuo Li 44 0 0 27 Mar 2025
Problem-Solving Logic Guided Curriculum In-Context Learning for LLMs Complex Reasoning Xuetao Ma Wenbin Jiang Hua Huang LRM 68 1 0 24 Feb 2025
Can LLMs Simulate L2-English Dialogue? An Information-Theoretic Analysis of L1-Dependent Biases Rena Gao Xuetong Wu Tatsuki Kuribayashi Mingrui Ye Siya Qi Carsten Roever Y. Liu Zheng Yuan Jey Han Lau 88 0 0 21 Feb 2025
In-Context Learning with Iterative Demonstration Selection Chengwei Qin Aston Zhang C. L. P. Chen Anirudh Dagar Wenming Ye LRM 68 38 0 31 Dec 2024
Curriculum Demonstration Selection for In-Context Learning Duc Anh Vu Nguyen Tran Cong Duy Xiaobao Wu Hoang Minh Nhat Du Mingzhe Nguyen Thanh Thong Anh Tuan Luu 72 0 0 27 Nov 2024
EXPLORA: Efficient Exemplar Subset Selection for Complex Reasoning Kiran Purohit Venktesh V Raghuram Devalla Krishna Mohan Yerragorla Sourangshu Bhattacharya Avishek Anand LRM 32 1 0 06 Nov 2024
Mixtures of In-Context Learners Giwon Hong Emile van Krieken E. Ponti Nikolay Malkin Pasquale Minervini 38 0 0 05 Nov 2024
What Factors Affect Multi-Modal In-Context Learning? An In-Depth Exploration L. Qin Qiguang Chen Hao Fei Zhi Chen Min Li Wanxiang Che 41 5 0 27 Oct 2024
DragEntity: Trajectory Guided Video Generation using Entity and Positional Relationships Zhang Wan Sheng Tang Jiawei Wei Ruize Zhang Juan Cao VGen 19 2 0 14 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
GraphIC: A Graph-Based In-Context Example Retrieval Model for Multi-Step Reasoning Jiale Fu Yaqing Wang Simeng Han Jiaming Fan Chen Si 30 1 0 03 Oct 2024
Unleashing the Power of Large Language Models in Zero-shot Relation Extraction via Self-Prompting Siyi Liu Yang Li Jiang Li Shan Yang Yunshi Lan LRM 34 1 0 02 Oct 2024
Constrained Reasoning Chains for Enhancing Theory-of-Mind in Large Language Models Zizheng Lin Chunkit Chan Yangqiu Song Xin Liu LRM 26 1 0 20 Sep 2024
LLMs vs Established Text Augmentation Techniques for Classification: When do the Benefits Outweight the Costs? Ján Cegin Jakub Simko Peter Brusilovsky 21 1 0 29 Aug 2024
Strategic Demonstration Selection for Improved Fairness in LLM In-Context Learning Jingyu Hu Weiru Liu Mengnan Du 22 2 0 19 Aug 2024
Effective Demonstration Annotation for In-Context Learning via Language Model-Based Determinantal Point Process Peng Wang Xiaobin Wang Chao Lou Shengyu Mao Pengjun Xie Yong-jia Jiang 52 0 0 04 Aug 2024
Sub-SA: Strengthen In-context Learning via Submodular Selective Annotation Jian Qian Miao Sun Sifan Zhou Ziyu Zhao Ruizhi Hun Patrick Chiang 41 1 0 08 Jul 2024
Learnable In-Context Vector for Visual Question Answering Yingzhe Peng Chenduo Hao Xu Yang Jiawei Peng Xinting Hu Xin Geng 37 4 0 19 Jun 2024
How Far Can In-Context Alignment Go? Exploring the State of In-Context Alignment Heyan Huang Yinghao Li Huashan Sun Yu Bai Yang Gao 42 3 0 17 Jun 2024
Retrieval Augmented Fact Verification by Synthesizing Contrastive Arguments Zhenrui Yue Huimin Zeng Lanyu Shang Yifan Liu Yang Zhang Dong Wang RALM 43 2 0 14 Jun 2024
Unraveling the Mechanics of Learning-Based Demonstration Selection for In-Context Learning Hui Liu Wenya Wang Hao Sun Chris Xing Tian Chenqi Kong Xin Dong Haoliang Li 54 5 0 14 Jun 2024
On the Noise Robustness of In-Context Learning for Text Generation Hongfu Gao Feipeng Zhang Wenyu Jiang Jun Shu Feng Zheng Hongxin Wei 58 3 0 27 May 2024
Augmented Risk Prediction for the Onset of Alzheimer's Disease from Electronic Health Records with Large Language Models Jiankun Wang Sumyeong Ahn Taykhoom Dalal Xiaodan Zhang Weishen Pan Qiannan Zhang Bin Chen H. H. Dodge Fei-Yue Wang Jiayu Zhou LM&MA 31 2 0 26 May 2024
Prompt Optimization with EASE? Efficient Ordering-aware Automated Selection of Exemplars Zhaoxuan Wu Xiaoqiang Lin Zhongxiang Dai Wenyang Hu Yao Shu See-Kiong Ng P. Jaillet Bryan Kian Hsiang Low 38 9 0 25 May 2024
Get more for less: Principled Data Selection for Warming Up Fine-Tuning in LLMs Feiyang Kang H. Just Yifan Sun Himanshu Jahagirdar Yuanzhi Zhang Rongxing Du Anit Kumar Sahu Ruoxi Jia 56 17 0 05 May 2024
Few-Shot Fairness: Unveiling LLM's Potential for Fairness-Aware Classification Garima Chhikara Anurag Sharma Kripabandhu Ghosh Abhijnan Chakraborty 39 14 0 28 Feb 2024
Addressing Order Sensitivity of In-Context Demonstration Examples in Causal Language Models Yanzheng Xiang Hanqi Yan Lin Gui Yulan He 34 6 0 23 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 30 3 0 21 Feb 2024
On Sensitivity of Learning with Limited Labelled Data to the Effects of Randomness: Impact of Interactions and Systematic Choices Branislav Pecher Ivan Srba M. Bieliková 64 3 0 20 Feb 2024
Parallel Structures in Pre-training Data Yield In-Context Learning Yanda Chen Chen Zhao Zhou Yu Kathleen McKeown He He 29 12 0 19 Feb 2024
In-Context Learning Demonstration Selection via Influence Analysis Vinay M.S. Minh-Hao Van Xintao Wu 31 3 0 19 Feb 2024
Crafting a Good Prompt or Providing Exemplary Dialogues? A Study of In-Context Learning for Persona-based Dialogue Generation Jiashu Pu Yajing Wan Yuru Zhang Jing Chen Ling Cheng Qian Shao Yongzhu Chang Tangjie Lv Rongsheng Zhang 23 1 0 15 Feb 2024
DFA-RAG: Conversational Semantic Router for Large Language Model with Definite Finite Automaton Yiyou Sun Junjie Hu Wei Cheng Haifeng Chen RALM AI4CE 26 1 0 06 Feb 2024
Automatic Combination of Sample Selection Strategies for Few-Shot Learning Branislav Pecher Ivan Srba M. Bieliková Joaquin Vanschoren 34 1 0 05 Feb 2024
Assistive Large Language Model Agents for Socially-Aware Negotiation Dialogues Yuncheng Hua Lizhen Qu Gholamreza Haffari 87 6 0 29 Jan 2024
In-context Learning with Retrieved Demonstrations for Language Models: A Survey an Luo Xin Xu Yue Liu Panupong Pasupat Mehran Kazemi RALM 31 55 0 21 Jan 2024
Effects of diversity incentives on sample diversity and downstream model performance in LLM-based text augmentation Ján Cegin Branislav Pecher Jakub Simko Ivan Srba M. Bieliková Peter Brusilovsky 33 10 0 12 Jan 2024
Misconfidence-based Demonstration Selection for LLM In-Context Learning Shangqing Xu Chao Zhang 73 15 0 12 Jan 2024
Grimoire is All You Need for Enhancing Large Language Models Ding Chen Shichao Song Qingchen Yu Zhiyu Li Wenjin Wang Feiyu Xiong Bo Tang 25 4 0 07 Jan 2024
Overview of the PromptCBLUE Shared Task in CHIP2023 Wei-wei Zhu Xiaoling Wang Mosha Chen Buzhou Tang LM&MA ELM 34 7 0 29 Dec 2023
One-Shot Learning as Instruction Data Prospector for Large Language Models Yunshui Li Binyuan Hui Xiaobo Xia Jiaxi Yang Min Yang ... Ling-Hao Chen Junhao Liu Tongliang Liu Fei Huang Yongbin Li 38 31 0 16 Dec 2023
Lever LM: Configuring In-Context Sequence to Lever Large Vision Language Models Xu Yang Yingzhe Peng Haoxuan Ma Shuo Xu Chi Zhang Yucheng Han Hanwang Zhang 32 5 0 15 Dec 2023
Take One Step at a Time to Know Incremental Utility of Demonstration: An Analysis on Reranking for Few-Shot In-Context Learning Kazuma Hashimoto K. Raman Michael Bendersky 37 2 0 16 Nov 2023
Which Examples to Annotate for In-Context Learning? Towards Effective and Efficient Selection Costas Mavromatis Balasubramaniam Srinivasan Zhengyuan Shen Jiani Zhang Huzefa Rangwala Christos Faloutsos George Karypis 19 21 0 30 Oct 2023
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 36 20 0 16 Oct 2023
Towards Informative Few-Shot Prompt with Maximum Information Gain for In-Context Learning Hongfu Liu Ye Wang 34 9 0 13 Oct 2023