Unified Demonstration Retriever for In-Context Learning

7 May 2023

Xipeng Qiu

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

31 / 31 papers shown

Title
MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning Murtadha Ahmed Wenbo Liu yunfeng 41 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 27 0 0 19 Apr 2025
Mimic In-Context Learning for Multimodal Tasks Yuchu Jiang Jiale Fu Chenduo Hao Xinting Hu Yingzhe Peng Xin Geng Xu Yang 27 0 0 11 Apr 2025
PARA: Parameter-Efficient Fine-tuning with Prompt Aware Representation Adjustment Zequan Liu Yi Zhao Ming Tan Wei Zhu Aaron Xuxiang Tian 43 0 0 03 Feb 2025
In-Context Learning with Iterative Demonstration Selection Chengwei Qin Aston Zhang Chong Chen Anirudh Dagar Wenming Ye LRM 70 38 0 31 Dec 2024
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 45 1 0 31 Oct 2024
Effective Self-Mining of In-Context Examples for Unsupervised Machine Translation with LLMs Abdellah El Mekki Muhammad Abdul-Mageed LRM 36 0 0 14 Oct 2024
ELICIT: LLM Augmentation via External In-Context Capability Futing Wang Jianhao Yan Yue Zhang Tao Lin 44 0 0 12 Oct 2024
Let's Ask GNN: Empowering Large Language Model for Graph In-Context Learning Zhengyu Hu Yichuan Li Zhengyu Chen Jiadong Wang Han Liu Kyumin Lee Kaize Ding GNN 202 1 0 09 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 44 35 0 23 Sep 2024
Large Language Models Might Not Care What You Are Saying: Prompt Format Beats Descriptions Chenming Tang Zhixiang Wang Yunfang Wu Yunfang Wu LRM 34 0 0 16 Aug 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 40 188 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 44 35 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 33 3 0 21 Feb 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 32 5 0 15 Dec 2023
AlignedCoT: Prompting Large Language Models via Native-Speaking Demonstrations Zhicheng YANG Yinya Huang Jing Xiong Liang Feng Xiaodan Liang Yiwei Wang Jing Tang LRM 28 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 45 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 39 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 21 33 0 22 Oct 2023
Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning Lean Wang Lei Li Damai Dai Deli Chen Hao Zhou Fandong Meng Jie Zhou Xu Sun 36 170 0 23 May 2023
MoT: Memory-of-Thought Enables ChatGPT to Self-Improve Xiaonan Li Xipeng Qiu ReLM KELM LRM AI4MH 26 32 0 09 May 2023
Improving Contrastive Learning of Sentence Embeddings from AI Feedback M. Abouheaf W. Gueaieb Md. Suruz Miah D. Spinello Xipeng Qiu 59 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 104 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 182 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 339 12,003 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 279 1,124 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 201 1,109 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 1,312 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 195 153 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 297 6,984 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 184 3,513 0 10 Jun 2015