Active Example Selection for In-Context Learning

8 November 2022

Papers citing "Active Example Selection for In-Context Learning"

50 / 135 papers shown

Title
Exploring the Role of Diversity in Example Selection for In-Context Learning Janak Kapuriya Manit Kaushik Debasis Ganguly S. Bhatia 10 0 0 03 May 2025
AdaptMI: Adaptive Skill-based In-context Math Instruction for Small Language Models Yinghui He A. Panigrahi Yong Lin Sanjeev Arora 33 0 0 30 Apr 2025
Reinforcing Compositional Retrieval: Retrieving Step-by-Step for Composing Informative Contexts Quanyu Long Jianda Chen Zhengyuan Liu Nancy F. Chen Wenya Wang Sinno Jialin Pan KELM RALM LRM 43 0 0 15 Apr 2025
Monte Carlo Sampling for Analyzing In-Context Examples S. Schoch Yangfeng Ji 27 0 0 27 Mar 2025
Optimizing Decomposition for Optimal Claim Verification Yining Lu Noah Ziems Hy Dang Meng-Long Jiang 48 0 0 19 Mar 2025
Learning to Search Effective Example Sequences for In-Context Learning Xiang Gao Ankita Sinha Kamalika Das 49 1 0 11 Mar 2025
MARRO: Multi-headed Attention for Rhetorical Role Labeling in Legal Documents Purbid Bambroo Subinay Adhikary Paheli Bhattacharya Abhijnan Chakraborty Saptarshi Ghosh Kripabandhu Ghosh AILaw 75 0 0 08 Mar 2025
Active Learning for Direct Preference Optimization B. Kveton Xintong Li Julian McAuley Ryan Rossi Jingbo Shang Junda Wu Tong Yu 48 1 0 03 Mar 2025
AMPO: Active Multi-Preference Optimization Taneesh Gupta Rahul Madhavan Xuchao Zhang Chetan Bansal Saravan Rajmohan 55 0 0 25 Feb 2025
MMRAG: Multi-Mode Retrieval-Augmented Generation with Large Language Models for Biomedical In-Context Learning Zaifu Zhan J. Wang Shuang Zhou Jiawen Deng Rui Zhang 34 4 0 21 Feb 2025
ARISE: Iterative Rule Induction and Synthetic Data Generation for Text Classification Y. Meena Vaibhav Singh Ayush Maheshwari Amrith Krishna Ganesh Ramakrishnan AI4TS 51 0 0 09 Feb 2025
In-Context Learning with Iterative Demonstration Selection Chengwei Qin Aston Zhang C. L. P. Chen Anirudh Dagar Wenming Ye LRM 60 38 0 31 Dec 2024
Leveraging Large Language Models for Active Merchant Non-player Characters Byungjun Kim Minju Kim Dayeon Seo Bugeun Kim 82 0 0 15 Dec 2024
Smoothie: Label Free Language Model Routing Neel Guha Mayee F. Chen Trevor Chow Ishan S. Khare Christopher Ré 71 3 0 06 Dec 2024
SmartLLMSentry: A Comprehensive LLM Based Smart Contract Vulnerability Detection Framework Oualid Zaazaa H. Bakkali 71 2 0 28 Nov 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 64 0 0 27 Nov 2024
Do Large Language Models Perform Latent Multi-Hop Reasoning without Exploiting Shortcuts? Sohee Yang Nora Kassner E. Gribovskaya Sebastian Riedel Mor Geva KELM LRM ReLM 72 4 0 25 Nov 2024
SPICA: Retrieving Scenarios for Pluralistic In-Context Alignment Quan Ze Chen K. J. Kevin Feng Chan Young Park Amy X. Zhang 18 0 0 16 Nov 2024
EXPLORA: Efficient Exemplar Subset Selection for Complex Reasoning Kiran Purohit Venktesh V Raghuram Devalla Krishna Mohan Yerragorla Sourangshu Bhattacharya Avishek Anand LRM 25 0 0 06 Nov 2024
Comparative Analysis of Demonstration Selection Algorithms for LLM In-Context Learning Dong Shu Mengnan Du 35 0 0 30 Oct 2024
RARe: Retrieval Augmented Retrieval with In-Context Examples Atula Tejaswi Yoonsang Lee Sujay Sanghavi Eunsol Choi RALM LRM 17 1 0 26 Oct 2024
Label Set Optimization via Activation Distribution Kurtosis for Zero-shot Classification with Generative Models Yue Li Zhixue Zhao Carolina Scarton 22 0 0 24 Oct 2024
Model Balancing Helps Low-data Training and Fine-tuning Zihang Liu Y. Hu Tianyu Pang Yefan Zhou Pu Ren Yaoqing Yang 20 0 0 16 Oct 2024
Augmenting In-Context-Learning in LLMs via Automatic Data Labeling and Refinement J. Shtok Amit Alfassy Foad Abo Dahood Eliyahu Schwartz Sivan Doveh Assaf Arbelle LRM ReLM 15 0 0 14 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 21 1 0 03 Oct 2024
Auto-Demo Prompting: Leveraging Generated Outputs as Demonstrations for Enhanced Batch Prompting Longyu Feng Mengze Hong Chen Jason Zhang 39 2 0 02 Oct 2024
Mitigating Copy Bias in In-Context Learning through Neuron Pruning Ameen Ali Lior Wolf Ivan Titov 16 2 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 19 1 0 20 Sep 2024
Enhancing Document-level Argument Extraction with Definition-augmented Heuristic-driven Prompting for LLMs Tongyue Sun Jiayi Xiao 25 0 0 30 Aug 2024
Cropper: Vision-Language Model for Image Cropping through In-Context Learning Seung Hyun Lee Junjie Ke Yinxiao Li Junfeng He Steven Hickson ... Irfan Essa Sangpil Kim Ming-Hsuan Yang Irfan Essa Feng Yang VLM 31 0 0 14 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 39 0 0 04 Aug 2024
Efficient In-Context Medical Segmentation with Meta-driven Visual Prompt Selection Chenwei Wu David Restrepo Zitao Shuai Zhongming Liu Liyue Shen VLM 27 1 0 15 Jul 2024
Enhancing In-Context Learning via Implicit Demonstration Augmentation Xiaoling Zhou Wei Ye Yidong Wang Chaoya Jiang Zhemg Lee Rui Xie Shikun Zhang 20 3 0 27 Jun 2024
Retrieval-style In-Context Learning for Few-shot Hierarchical Text Classification Huiyao Chen Yu Zhao Zulong Chen Mengjia Wang Liangyue Li Meishan Zhang M. Zhang BDL 28 6 0 25 Jun 2024
DemoRank: Selecting Effective Demonstrations for Large Language Models in Ranking Task Wenhan Liu Yutao Zhu Zhicheng Dou ALM RALM 32 9 0 24 Jun 2024
Learning to Retrieve Iteratively for In-Context Learning Yunmo Chen Tongfei Chen Harsh Jhamtani Patrick Xia Richard Shin Jason Eisner Benjamin Van Durme RALM 26 5 0 20 Jun 2024
Data-Centric AI in the Age of Large Language Models Xinyi Xu Zhaoxuan Wu Rui Qiao Arun Verma Yao Shu ... Xiaoqiang Lin Wenyang Hu Zhongxiang Dai Pang Wei Koh Bryan Kian Hsiang Low ALM 37 2 0 20 Jun 2024
SeCoKD: Aligning Large Language Models for In-Context Learning with Fewer Shots Weixing Wang Haojin Yang Christoph Meinel 22 0 0 20 Jun 2024
In-Context Learning on a Budget: A Case Study in Token Classification Uri Berger Tal Baumel Gabriel Stanovsky 29 0 0 19 Jun 2024
BeHonest: Benchmarking Honesty in Large Language Models Steffi Chern Zhulin Hu Yuqing Yang Ethan Chern Yuan Guo Jiahe Jin Binjie Wang Pengfei Liu HILM ALM 74 3 0 19 Jun 2024
Learnable In-Context Vector for Visual Question Answering Yingzhe Peng Chenduo Hao Xu Yang Jiawei Peng Xinting Hu Xin Geng 31 4 0 19 Jun 2024
Task Facet Learning: A Structured Approach to Prompt Optimization Gurusha Juneja Nagarajan Natarajan Hua Li Jian Jiao Amit Sharma 45 6 0 15 Jun 2024
Retrieval Augmented Fact Verification by Synthesizing Contrastive Arguments Zhenrui Yue Huimin Zeng Lanyu Shang Yifan Liu Yang Zhang Dong Wang RALM 22 1 0 14 Jun 2024
Demonstration Augmentation for Zero-shot In-context Learning Yi Su Yunpeng Tai Yixin Ji Juntao Li Bowen Yan Min Zhang RALM 30 6 0 03 Jun 2024
PromptWizard: Task-Aware Agent-driven Prompt Optimization Framework Eshaan Agarwal Vivek Dani T. Ganu A. Nambi LLMAG 24 0 0 28 May 2024
Learning to Reason via Program Generation, Emulation, and Search Nathaniel Weir Muhammad Khalifa Linlu Qiu Orion Weller Peter Clark SyDa ReLM LRM 26 5 0 25 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 33 1 0 25 May 2024
ActiveLLM: Large Language Model-based Active Learning for Textual Few-Shot Scenarios Markus Bayer Christian A. Reuter 27 0 0 17 May 2024
Interpretable Cross-Examination Technique (ICE-T): Using highly informative features to boost LLM performance Goran Muric Ben Delay Steven Minton 16 1 0 08 May 2024
Locally Differentially Private In-Context Learning Chunyan Zheng Keke Sun Wenhao Zhao Haibo Zhou Lixin Jiang Shaoyang Song Chunlai Zhou 14 2 0 07 May 2024