Active Example Selection for In-Context Learning

8 November 2022

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

50 / 135 papers shown

Title
Detection of Conspiracy Theories Beyond Keyword Bias in German-Language Telegram Using Large Language Models Milena Pustet Elisabeth Steffen Helena Mihaljević 28 3 0 27 Apr 2024
Large Language Model Agent as a Mechanical Designer Yayati Jadhav A. Farimani AI4CE LLMAG 90 9 0 26 Apr 2024
A Human-Computer Collaborative Tool for Training a Single Large Language Model Agent into a Network through Few Examples Lihang Pan Yuxuan Li Chun Yu Yuanchun Shi LLMAG 25 1 0 24 Apr 2024
Bayesian Example Selection Improves In-Context Learning for Speech, Text, and Visual Modalities Siyin Wang Chao-Han Huck Yang Ji Wu Chao Zhang BDL 32 4 0 23 Apr 2024
Experimental Design for Active Transductive Inference in Large Language Models Subhojyoti Mukherjee Anusha Lalitha Aniket Deshmukh Ge Liu Yifei Ma B. Kveton LRM 35 1 0 12 Apr 2024
One size doesn't fit all: Predicting the Number of Examples for In-Context Learning Manish Chandra Debasis Ganguly Yiwen Li 29 0 0 11 Mar 2024
TRAD: Enhancing LLM Agents with Step-Wise Thought Retrieval and Aligned Decision Ruiwen Zhou Yingxuan Yang Kangrui Chen Ying Wen Wenhao Wang Chunling Xi Guoqiang Xu Jiliang Tang Lingjuan Lyu LLMAG 16 8 0 10 Mar 2024
FaiMA: Feature-aware In-context Learning for Multi-domain Aspect-based Sentiment Analysis Songhua Yang Xinke Jiang Hanjie Zhao Wenxuan Zeng Hongde Liu Yuxiang Jia 19 4 0 02 Mar 2024
CodeS: Towards Building Open-source Language Models for Text-to-SQL Haoyang Li Jing Zhang Hanbing Liu Ju Fan Xiaokang Zhang Jun Zhu Renjie Wei Hongyan Pan Cuiping Li Hong Chen ELM AI4TS 30 91 0 26 Feb 2024
Addressing Order Sensitivity of In-Context Demonstration Examples in Causal Language Models Yanzheng Xiang Hanqi Yan Lin Gui Yulan He 21 1 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 17 3 0 21 Feb 2024
Harnessing Large Language Models as Post-hoc Correctors Zhiqiang Zhong Kuangyu Zhou Davide Mottin 14 3 0 20 Feb 2024
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 28 2 0 20 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 48 3 0 20 Feb 2024
In-Context Learning Demonstration Selection via Influence Analysis Vinay M.S. Minh-Hao Van Xintao Wu 29 3 0 19 Feb 2024
PhaseEvo: Towards Unified In-Context Prompt Optimization for Large Language Models Wendi Cui Jiaxin Zhang Zhuohang Li Hao Sun Damien Lopez Kamalika Das Bradley Malin Kumar Sricharan 11 6 0 17 Feb 2024
A Trembling House of Cards? Mapping Adversarial Attacks against Language Agents Lingbo Mo Zeyi Liao Boyuan Zheng Yu-Chuan Su Chaowei Xiao Huan Sun AAML LLMAG 30 14 0 15 Feb 2024
NICE: To Optimize In-Context Examples or Not? Pragya Srivastava Satvik Golechha Amit Deshpande Amit Sharma 22 4 0 09 Feb 2024
Automatic Combination of Sample Selection Strategies for Few-Shot Learning Branislav Pecher Ivan Srba M. Bieliková Joaquin Vanschoren 23 1 0 05 Feb 2024
Can MLLMs Perform Text-to-Image In-Context Learning? Yuchen Zeng Wonjun Kang Yicong Chen Hyung Il Koo Kangwook Lee MLLM 17 9 0 02 Feb 2024
Superiority of Multi-Head Attention in In-Context Linear Regression Yingqian Cui Jie Ren Pengfei He Jiliang Tang Yue Xing 28 12 0 30 Jan 2024
Assistive Large Language Model Agents for Socially-Aware Negotiation Dialogues Yuncheng Hua Lizhen Qu Gholamreza Haffari 85 4 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 21 54 0 21 Jan 2024
Distilling Event Sequence Knowledge From Large Language Models Somin Wadhwa Oktie Hassanzadeh D. Bhattacharjya Ken Barker Jian Ni 17 0 0 14 Jan 2024
Misconfidence-based Demonstration Selection for LLM In-Context Learning Shangqing Xu Chao Zhang 70 15 0 12 Jan 2024
Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning Shuai Zhao Meihuizi Jia Anh Tuan Luu Fengjun Pan Jinming Wen AAML 24 34 0 11 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
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 30 5 0 15 Dec 2023
How to Configure Good In-Context Sequence for Visual Question Answering Li Li Jiawei Peng Huiyi Chen Chongyang Gao Xu Yang MLLM 13 8 0 04 Dec 2023
The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning Bill Yuchen Lin Abhilasha Ravichander Ximing Lu Nouha Dziri Melanie Sclar Khyathi Raghavi Chandu Chandra Bhagavatula Yejin Choi 17 163 0 04 Dec 2023
Improving In-Context Learning in Diffusion Models with Visual Context-Modulated Prompts Tianqi Chen Yongfei Liu Zhendong Wang Jianbo Yuan Quanzeng You Hongxia Yang Mingyuan Zhou VLM 22 5 0 03 Dec 2023
More Samples or More Prompts? Exploring Effective In-Context Sampling for LLM Few-Shot Prompt Engineering Bingsheng Yao Guiming Hardy Chen Ruishi Zou Yuxuan Lu Jiachen Li Shao Zhang Yisi Sang Sijia Liu James A. Hendler Dakuo Wang 30 13 0 16 Nov 2023
Leveraging Code to Improve In-context Learning for Semantic Parsing Ben Bogin Shivanshu Gupta Peter Clark Ashish Sabharwal 13 6 0 16 Nov 2023
PEARL: Personalizing Large Language Model Writing Assistants with Generation-Calibrated Retrievers Sheshera Mysore Zhuoran Lu Mengting Wan Longqi Yang Steve Menezes Tina Baghaee Emmanuel Barajas Gonzalez Jennifer Neville Tara Safavi RALM 9 34 0 15 Nov 2023
The Mystery of In-Context Learning: A Comprehensive Survey on Interpretation and Analysis Yuxiang Zhou Jiazheng Li Yanzheng Xiang Hanqi Yan Lin Gui Yulan He 22 13 0 01 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
Mastering the Task of Open Information Extraction with Large Language Models and Consistent Reasoning Environment Ji Qi Kaixuan Ji Xiaozhi Wang Jifan Yu Kaisheng Zeng Lei Hou Juanzi Li Bin Xu LRM 11 3 0 16 Oct 2023
Demonstrations Are All You Need: Advancing Offensive Content Paraphrasing using In-Context Learning Anirudh Som Karan Sikka Helen Gent Ajay Divakaran A. Kathol D. Vergyri 14 4 0 16 Oct 2023
Towards Informative Few-Shot Prompt with Maximum Information Gain for In-Context Learning Hongfu Liu Ye Wang 21 9 0 13 Oct 2023
Not All Demonstration Examples are Equally Beneficial: Reweighting Demonstration Examples for In-Context Learning Zhe Yang Damai Dai Peiyi Wang Zhifang Sui 34 8 0 12 Oct 2023
KwaiYiiMath: Technical Report Jia-Yi Fu Lei Lin Xiaoyang Gao Pengli Liu Zhengzong Chen ... Zijia Lin Fuzheng Zhang Zhongyuan Wang Di Zhang Kun Gai LRM ReLM RALM 38 2 0 11 Oct 2023
SEER : A Knapsack approach to Exemplar Selection for In-Context HybridQA Jonathan Tonglet Manon Reusens Philipp Borchert Bart Baesens 21 5 0 10 Oct 2023
Jailbreak and Guard Aligned Language Models with Only Few In-Context Demonstrations Zeming Wei Yifei Wang Ang Li Yichuan Mo Yisen Wang 40 233 0 10 Oct 2023
GROVE: A Retrieval-augmented Complex Story Generation Framework with A Forest of Evidence Zhihua Wen Zhiliang Tian Wei Wu Yuxin Yang Yanqi Shi Zhen Huang Dongsheng Li RALM 37 13 0 09 Oct 2023
Dynamic Demonstrations Controller for In-Context Learning Fei Zhao Taotian Pang Zhen Wu Zheng Ma Shujian Huang Xinyu Dai 27 5 0 30 Sep 2023
Are Human-generated Demonstrations Necessary for In-context Learning? Rui Li Guoyin Wang Jiwei Li LRM 7 8 0 26 Sep 2023
GPT4AIGChip: Towards Next-Generation AI Accelerator Design Automation via Large Language Models Yonggan Fu Yongan Zhang Zhongzhi Yu Sixu Li Zhifan Ye Chaojian Li Cheng Wan Ying Lin 32 59 0 19 Sep 2023
Ambiguity-Aware In-Context Learning with Large Language Models Lingyu Gao Aditi Chaudhary Krishna Srinivasan Kazuma Hashimoto K. Raman Michael Bendersky 11 7 0 14 Sep 2023
BHASA: A Holistic Southeast Asian Linguistic and Cultural Evaluation Suite for Large Language Models Wei Qi Leong Jian Gang Ngui Yosephine Susanto Hamsawardhini Rengarajan Kengatharaiyer Sarveswaran William-Chandra Tjhi 13 9 0 12 Sep 2023
EPA: Easy Prompt Augmentation on Large Language Models via Multiple Sources and Multiple Targets Hongyuan Lu Wai Lam 6 1 0 09 Sep 2023