[2301.00234] A Survey on In-context Learning

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs. arXiv Operational Status Get status notifications via email or slack

[2301.00234] A Survey on In-context Learning Skip to main content arXiv is now an independent nonprofit! Learn more × Search arXiv Press Enter to search · Advanced search --> Computer Science > Computation and Language arXiv:2301.00234 (cs) [Submitted on 31 Dec 2022 ( v1 ), last revised 5 Oct 2024 (this version, v6)] Title: A Survey on In-context Learning Authors: Qingxiu Dong , Lei Li , Damai Dai , Ce Zheng , Jingyuan Ma , Rui Li , Heming Xia , Jingjing Xu , Zhiyong Wu , Tianyu Liu , Baobao Chang , Xu Sun , Lei Li , Zhifang Sui View a PDF of the paper titled A Survey on In-contex

related reading

• [2309.01809] Are Emergent Abilities in Large Language Models just In-Context Learning?arxiv.org
• [2512.19428] Attention Is Not What You Needarxiv.org
• [2302.00487] A Comprehensive Survey of Continual Learning: Theory, Method and Applicationarxiv.org
• [2406.11717] Refusal in Language Models Is Mediated by a Single Directionarxiv.org
• [1409.3215] Sequence to Sequence Learning with Neural Networksarxiv.org
• Interactive Machine Learning: A State of the Art Reviewarxiv.org
• [2406.02061] Alice in Wonderland: Simple Tasks Showing Complete Reasoning Breakdown in State-Of-the-Art Large Language Modelsarxiv.org
• [2312.15159] Understanding the Potential of FPGA-Based Spatial Acceleration for Large Language Model Inferencearxiv.org
• [2402.12875] Chain of Thought Empowers Transformers to Solve Inherently Serial Problemsarxiv.org
• [2509.14786] Pre-training under infinite computearxiv.org
• [2508.12773] Online Ensemble Transformer for Accurate Cloud Workload Forecasting in Predictive Auto-Scalingarxiv.org
• [2401.05654] Towards Conversational Diagnostic AIarxiv.org