How Many Demonstrations Do You Need for In-context Learning?

14 March 2023

Papers citing "How Many Demonstrations Do You Need for In-context Learning?"

33 / 33 papers shown

Title
Knowledge Graph-extended Retrieval Augmented Generation for Question Answering Jasper Linders Jakub M. Tomczak RALM 42 0 0 11 Apr 2025
Monte Carlo Sampling for Analyzing In-Context Examples S. Schoch Yangfeng Ji 32 0 0 27 Mar 2025
Understanding and Improving Information Preservation in Prompt Compression for LLMs Weronika Łajewska Momchil Hardalov Laura Aina Neha Anna John Hang Su Lluís Marquez 58 0 0 24 Mar 2025
A General Framework to Evaluate Methods for Assessing Dimensions of Lexical Semantic Change Using LLM-Generated Synthetic Data Naomi Baes Raphael Merx Nick Haslam Ekaterina Vylomova Haim Dubossarsky 41 0 0 11 Mar 2025
When LLMs Struggle: Reference-less Translation Evaluation for Low-resource Languages Archchana Sindhujan Diptesh Kanojia Constantin Orasan Shenbin Qian 33 1 0 08 Jan 2025
Dynamic Uncertainty Ranking: Enhancing Retrieval-Augmented In-Context Learning for Long-Tail Knowledge in LLMs Shuyang Yu Runxue Bao Parminder Bhatia Taha A. Kass-Hout Jiayu Zhou Cao Xiao 26 1 0 31 Oct 2024
xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar Memories Maurice Kraus Felix Divo D. Dhami Kristian Kersting AI4TS 26 2 0 22 Oct 2024
Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely Siyun Zhao Yuqing Yang Zilong Wang Zhiyuan He Luna Qiu Lili Qiu SyDa RALM 3DV 32 31 0 23 Sep 2024
SeCoKD: Aligning Large Language Models for In-Context Learning with Fewer Shots Weixing Wang Haojin Yang Christoph Meinel 24 0 0 20 Jun 2024
Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement Xiyao Wang Jiuhai Chen Zhaoyang Wang Yuhang Zhou Yiyang Zhou ... Tianyi Zhou Tom Goldstein Parminder Bhatia Furong Huang Cao Xiao 58 33 0 24 May 2024
Length-Aware Multi-Kernel Transformer for Long Document Classification Guangzeng Han Jack Tsao Xiaolei Huang VLM RALM 22 4 0 11 May 2024
Self-Demos: Eliciting Out-of-Demonstration Generalizability in Large Language Models Wei He Shichun Liu Jun Zhao Yiwen Ding Yi Lu Zhiheng Xi Tao Gui Qi Zhang Xuanjing Huang 37 1 0 01 Apr 2024
Automated Data Curation for Robust Language Model Fine-Tuning Jiuhai Chen Jonas W. Mueller ALM 32 19 0 19 Mar 2024
Can AI Outperform Human Experts in Creating Social Media Creatives? Eunkyung Park Raymond K. Wong Junbum Kwon 24 0 0 19 Mar 2024
The Whole is Better than the Sum: Using Aggregated Demonstrations in In-Context Learning for Sequential Recommendation Lei Wang Ee-Peng Lim RALM 19 1 0 15 Mar 2024
The Impact of Demonstrations on Multilingual In-Context Learning: A Multidimensional Analysis Miaoran Zhang Vagrant Gautam Mingyang Wang Jesujoba Oluwadara Alabi Xiaoyu Shen Dietrich Klakow Marius Mosbach 36 8 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
Language Models Don't Learn the Physical Manifestation of Language Bruce W. Lee Jaehyuk Lim LRM 25 3 0 17 Feb 2024
Towards Truly Zero-shot Compositional Visual Reasoning with LLMs as Programmers Aleksandar Stanić Sergi Caelles Michael Tschannen LRM VLM 23 9 0 03 Jan 2024
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
Integrating Summarization and Retrieval for Enhanced Personalization via Large Language Models Chris Richardson Yao Zhang Kellen Gillespie Sudipta Kar Arshdeep Singh Zeynab Raeesy Omar Zia Khan A. Sethy RALM 13 10 0 30 Oct 2023
GPT-4 Vision on Medical Image Classification -- A Case Study on COVID-19 Dataset Ruibo Chen Tianyi Xiong Yihan Wu Guodong Liu Zhengmian Hu Lichang Chen Yanshuo Chen Chenxi Liu Heng-Chiao Huang 14 8 0 27 Oct 2023
Towards Better Chain-of-Thought Prompting Strategies: A Survey Zihan Yu Liang He Zhen Wu Xinyu Dai Jiajun Chen LRM 118 40 0 08 Oct 2023
PACIT: Unlocking the Power of Examples for Better In-Context Instruction Tuning Tianci Xue Ziqi Wang Yixia Li Yun-Nung Chen Guanhua Chen 16 2 0 02 Oct 2023
Self-Specialization: Uncovering Latent Expertise within Large Language Models Junmo Kang Hongyin Luo Yada Zhu Jacob A. Hansen James R. Glass David D. Cox Alan Ritter Rogerio Feris Leonid Karlinsky ALM MoMe 17 4 0 29 Sep 2023
Quantifying Uncertainty in Answers from any Language Model and Enhancing their Trustworthiness Jiuhai Chen Jonas W. Mueller 42 55 0 30 Aug 2023
Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models Cheng-Yu Hsieh Sibei Chen Chun-Liang Li Yasuhisa Fujii Alexander Ratner Chen-Yu Lee Ranjay Krishna Tomas Pfister LLMAG SyDa 27 40 0 01 Aug 2023
Ask Me Anything: A simple strategy for prompting language models Simran Arora A. Narayan Mayee F. Chen Laurel J. Orr Neel Guha Kush S. Bhatia Ines Chami Frederic Sala Christopher Ré ReLM LRM 200 205 0 05 Oct 2022
Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought Abulhair Saparov He He ELM LRM ReLM 116 270 0 03 Oct 2022
Text and Patterns: For Effective Chain of Thought, It Takes Two to Tango Aman Madaan Amir Yazdanbakhsh LRM 136 115 0 16 Sep 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models Xuezhi Wang Jason W. Wei Dale Schuurmans Quoc Le Ed H. Chi Sharan Narang Aakanksha Chowdhery Denny Zhou ReLM BDL LRM AI4CE 297 3,163 0 21 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 315 8,261 0 28 Jan 2022
What Makes Good In-Context Examples for GPT- $3$ ? Jiachang Liu Dinghan Shen Yizhe Zhang Bill Dolan Lawrence Carin Weizhu Chen AAML RALM 275 1,296 0 17 Jan 2021