Unified Demonstration Retriever for In-Context Learning

7 May 2023

Xipeng Qiu

Papers citing "Unified Demonstration Retriever for In-Context Learning"

23 / 23 papers shown

Title
MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning Murtadha Ahmed Wenbo Liu yunfeng 39 0 0 02 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
In-Context Learning with Iterative Demonstration Selection Chengwei Qin Aston Zhang C. L. P. Chen Anirudh Dagar Wenming Ye LRM 64 38 0 31 Dec 2024
Effective Self-Mining of In-Context Examples for Unsupervised Machine Translation with LLMs Abdellah El Mekki Muhammad Abdul-Mageed LRM 29 0 0 14 Oct 2024
ELICIT: LLM Augmentation via External In-Context Capability Futing Wang Jianhao Yan Yue Zhang Tao Lin 35 0 0 12 Oct 2024
Let's Ask GNN: Empowering Large Language Model for Graph In-Context Learning Zhengyu Hu Yichuan Li Zhengyu Chen J. Wang Han Liu Kyumin Lee Kaize Ding GNN 93 1 0 09 Oct 2024
A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models Wenqi Fan Yujuan Ding Liang-bo Ning Shijie Wang Hengyun Li Dawei Yin Tat-Seng Chua Qing Li RALM 3DV 38 178 0 10 May 2024
Assisting in Writing Wikipedia-like Articles From Scratch with Large Language Models Yijia Shao Yucheng Jiang Theodore A. Kanell Peter Xu Omar Khattab Monica S. Lam LLMAG KELM 24 34 0 22 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 19 3 0 21 Feb 2024
AlignedCoT: Prompting Large Language Models via Native-Speaking Demonstrations Zhicheng YANG Yinya Huang Jing Xiong Liang Feng Xiaodan Liang Yiwei Wang Jing Tang LRM 18 1 0 22 Nov 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
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 35 2 0 16 Nov 2023
PromptCBLUE: A Chinese Prompt Tuning Benchmark for the Medical Domain Wei-wei Zhu Xiaoling Wang Huanran Zheng Mosha Chen Buzhou Tang ELM LM&MA 19 33 0 22 Oct 2023
Improving Contrastive Learning of Sentence Embeddings from AI Feedback M. Abouheaf W. Gueaieb Md. Suruz Miah D. Spinello Xipeng Qiu 49 37 0 03 May 2023
$k$ NN Prompting: Beyond-Context Learning with Calibration-Free Nearest Neighbor Inference Benfeng Xu Quan Wang Zhendong Mao Yajuan Lyu Qiaoqiao She Yongdong Zhang 85 52 0 24 Mar 2023
On the Relation between Sensitivity and Accuracy in In-context Learning Yanda Chen Chen Zhao Zhou Yu Kathleen McKeown He He 180 77 0 16 Sep 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 301 11,730 0 04 Mar 2022
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity Yao Lu Max Bartolo Alastair Moore Sebastian Riedel Pontus Stenetorp AILaw LRM 274 1,114 0 18 Apr 2021
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Shuai Lu Daya Guo Shuo Ren Junjie Huang Alexey Svyatkovskiy ... Nan Duan Neel Sundaresan Shao Kun Deng Shengyu Fu Shujie Liu ELM 190 853 0 09 Feb 2021
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
Task-Oriented Dialogue as Dataflow Synthesis Semantic Machines Jacob Andreas J. Bufe David Burkett Charles C. Chen ... Izabela Witoszko Jason Wolfe A. Wray Yuchen Zhang Alexander Zotov AIFin 180 151 0 24 Sep 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 294 6,927 0 20 Apr 2018
Teaching Machines to Read and Comprehend Karl Moritz Hermann Tomás Kociský Edward Grefenstette L. Espeholt W. Kay Mustafa Suleyman Phil Blunsom 170 3,504 0 10 Jun 2015