OpenICL: An Open-Source Framework for In-context Learning

6 March 2023

Zhiyong Wu

Papers citing "OpenICL: An Open-Source Framework for In-context Learning"

25 / 25 papers shown

Title
Prompt Optimization with Logged Bandit Data Haruka Kiyohara Daniel Yiming Cao Yuta Saito Thorsten Joachims 86 0 0 03 Apr 2025
ARISE: Iterative Rule Induction and Synthetic Data Generation for Text Classification Y. Meena Vaibhav Singh Ayush Maheshwari Amrith Krishna Ganesh Ramakrishnan AI4TS 250 0 0 09 Feb 2025
Multilingual Machine Translation with Open Large Language Models at Practical Scale: An Empirical Study Menglong Cui Pengzhi Gao Wei Liu Jian Luan Bin Wang LRM 61 4 0 04 Feb 2025
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 333 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 61 37 0 23 Sep 2024
AlpaPICO: Extraction of PICO Frames from Clinical Trial Documents Using LLMs Madhusudan Ghosh Shrimon Mukherjee Asmit Ganguly Partha Basuchowdhuri S. Naskar Debasis Ganguly 54 7 0 15 Sep 2024
A Three-Pronged Approach to Cross-Lingual Adaptation with Multilingual LLMs Vaibhav Singh Amrith Krishna Karthika NJ Ganesh Ramakrishnan 59 4 0 25 Jun 2024
Corex: Pushing the Boundaries of Complex Reasoning through Multi-Model Collaboration Qiushi Sun Zhangyue Yin Xiang Li Zhiyong Wu Xipeng Qiu Lingpeng Kong LRM LLMAG 41 45 0 30 Sep 2023
Knowledgeable In-Context Tuning: Exploring and Exploiting Factual Knowledge for In-Context Learning Jiadong Wang Chengyu Wang Chuanqi Tan Jun Huang Ming Gao KELM 50 5 0 26 Sep 2023
Small Models are Valuable Plug-ins for Large Language Models Canwen Xu Yichong Xu Shuohang Wang Yang Liu Chenguang Zhu Julian McAuley LLMAG 52 45 0 15 May 2023
Computational modeling of semantic change Nina Tahmasebi Haim Dubossarsky 58 6 0 13 Apr 2023
Multilingual Machine Translation with Large Language Models: Empirical Results and Analysis Wenhao Zhu Hongyi Liu Qingxiu Dong Jingjing Xu Shujian Huang Lingpeng Kong Jiajun Chen Lei Li LRM 47 145 0 10 Apr 2023
HugNLP: A Unified and Comprehensive Library for Natural Language Processing Jiadong Wang Nuo Chen Qiushi Sun Wenkang Huang Chengyu Wang Ming Gao 37 3 0 28 Feb 2023
ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback Jiacheng Ye Jiahui Gao Jiangtao Feng Zhiyong Wu Tao Yu Lingpeng Kong SyDa VLM 92 72 0 22 Oct 2022
Complexity-Based Prompting for Multi-Step Reasoning Yao Fu Hao-Chun Peng Ashish Sabharwal Peter Clark Tushar Khot ReLM LRM 166 415 0 03 Oct 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 367 3,398 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 457 12,345 0 04 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 455 8,840 0 28 Jan 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 283 1,134 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 279 1,328 0 17 Jan 2021
Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies Mor Geva Daniel Khashabi Elad Segal Tushar Khot Dan Roth Jonathan Berant RALM 262 684 0 06 Jan 2021
The Pile: An 800GB Dataset of Diverse Text for Language Modeling Leo Gao Stella Biderman Sid Black Laurence Golding Travis Hoppe ... Horace He Anish Thite Noa Nabeshima Shawn Presser Connor Leahy AIMat 295 2,037 0 31 Dec 2020
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 245 1,941 0 31 Dec 2020
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism Mohammad Shoeybi M. Patwary Raul Puri P. LeGresley Jared Casper Bryan Catanzaro MoE 249 1,849 0 17 Sep 2019
Language Models as Knowledge Bases? Fabio Petroni Tim Rocktaschel Patrick Lewis A. Bakhtin Yuxiang Wu Alexander H. Miller Sebastian Riedel KELM AI4MH 470 2,602 0 03 Sep 2019