In-context Learning with Retrieved Demonstrations for Language Models: A Survey

21 January 2024

Papers citing "In-context Learning with Retrieved Demonstrations for Language Models: A Survey"

21 / 21 papers shown

Title
ICon: In-Context Contribution for Automatic Data Selection Yixin Yang Qingxiu Dong Linli Yao Fangwei Zhu Zhifang Sui 38 0 0 08 May 2025
MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning Murtadha Ahmed Wenbo Liu yunfeng 37 0 0 02 May 2025
LLaMEA: A Large Language Model Evolutionary Algorithm for Automatically Generating Metaheuristics N. V. Stein Thomas Bäck 23 10 0 30 May 2024
XAMPLER: Learning to Retrieve Cross-Lingual In-Context Examples Peiqin Lin André F. T. Martins Hinrich Schütze RALM 39 2 0 08 May 2024
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 29 2 0 16 Nov 2023
"According to ...": Prompting Language Models Improves Quoting from Pre-Training Data Orion Weller Marc Marone Nathaniel Weir Dawn J Lawrie Daniel Khashabi Benjamin Van Durme HILM 61 44 0 22 May 2023
Complexity-Based Prompting for Multi-Step Reasoning Yao Fu Hao-Chun Peng Ashish Sabharwal Peter Clark Tushar Khot ReLM LRM 152 298 0 03 Oct 2022
Generate rather than Retrieve: Large Language Models are Strong Context Generators W. Yu Dan Iter Shuohang Wang Yichong Xu Mingxuan Ju Soumya Sanyal Chenguang Zhu Michael Zeng Meng-Long Jiang RALM AIMat 210 318 0 21 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
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
Can Machines Learn Morality? The Delphi Experiment Liwei Jiang Jena D. Hwang Chandra Bhagavatula Ronan Le Bras Jenny T Liang ... Yulia Tsvetkov Oren Etzioni Maarten Sap Regina A. Rini Yejin Choi FaML 110 110 0 14 Oct 2021
Can Language Models be Biomedical Knowledge Bases? Mujeen Sung Jinhyuk Lee Sean S. Yi Minji Jeon Sungdong Kim Jaewoo Kang AI4MH 108 105 0 15 Sep 2021
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 274 882 0 18 Apr 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 275 3,784 0 18 Apr 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
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 238 1,898 0 31 Dec 2020
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
Language Models as Knowledge Bases? Fabio Petroni Tim Rocktaschel Patrick Lewis A. Bakhtin Yuxiang Wu Alexander H. Miller Sebastian Riedel KELM AI4MH 393 2,216 0 03 Sep 2019
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
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov Kai Chen G. Corrado J. Dean 3DV 228 29,632 0 16 Jan 2013
Determinantal point processes for machine learning Alex Kulesza B. Taskar 146 1,045 0 25 Jul 2012