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Keyword

in-context learning

Description: In-context learning is a language-modeling approach in which a model uses examples or instructions in its input to perform a task without updating its parameters.
Primary topic: Topic Modeling (26%)
Wikidata ID: wiki/Q117322965
OpenAlex ID: keywords/in-context-learning
A Survey of Large Language Models
2026 · Wayne Xin Zhao, Kun Zhou, et al. · Frontiers of Computer Science · 2,057
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Flamingo: a Visual Language Model for Few-Shot Learning
2022 · Alayrac, Jean-Baptiste, Donahue, Jeff, et al. · arXiv (Cornell University) · 1,554
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A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Development
2023 · Tianyu Wu, Shizhu He, et al. · IEEE/CAA Journal of Automatica Sinica · 1,445
Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?
2022 · Sewon Min, Xinxi Lyu, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 744
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A Survey on In-context Learning
2024 · Qingxiu Dong, Lei Li, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 636
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What Makes Good In-Context Examples for GPT-3?
2022 · Jiachang Liu, Dinghan Shen, et al. · 552
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TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation
2023 · Keqin Bao, Jizhi Zhang, et al. · ACM Conference on Recommender Systems (RecSys) · 458
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Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning
2022 · Haokun Liu, Derek Tam, et al. · neural information processing systems · 441
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Learning To Retrieve Prompts for In-Context Learning
2022 · Ohad Rubin, Jonathan Herzig, et al. · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 370
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Large Language Models Are Human-Level Prompt Engineers
2022 · Zhou, Yongchao, Muresanu, Andrei Ioan, et al. · arXiv (Cornell University) · 330
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An Empirical Study of GPT-3 for Few-Shot Knowledge-Based VQA
2022 · Zhengyuan Yang, Zhe Gan, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 326
SegGPT: Towards Segmenting Everything In Context
2023 · Xinlong Wang, Xiaosong Zhang, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 308
A Review of Current Trends, Techniques, and Challenges in Large Language Models (LLMs)
2024 · Rajvardhan Patil, And Venkat Gudivada · Applied Sciences · 292
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Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers
2023 · Wang, Chengyi, Chen, Sanyuan, et al. · arXiv (Cornell University) · 250
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VILA: On Pre-training for Visual Language Models
2024 · Ji Lin, Hongxu Yin, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 248
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A Survey on In-context Learning
2022 · Dong, Qingxiu, Li, Lei, et al. · arXiv (Cornell University) · 247
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DIN-SQL: Decomposed In-Context Learning of Text-to-SQL with Self-Correction
2023 · Mohammadreza Pourreza, Davood Rafiei · neural information processing systems · 237
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GLaM: Efficient Scaling of Language Models with Mixture-of-Experts
2021 · Du, Nan, Huang, Yanping, et al. · arXiv (Cornell University) · 237
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Visual Programming: Compositional visual reasoning without training
2023 · Tanmay Gupta, Aniruddha Kembhavi · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 229
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Large Language Models in Healthcare and Medical Applications: A Review
2025 · Subhankar Maity, Manob Jyoti Saikia · Bioengineering · 221
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Voyager: An Open-Ended Embodied Agent with Large Language Models
2023 · Wang, Guanzhi, Xie, Yuqi, et al. · arXiv (Cornell University) · 221
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An Empirical Evaluation of Prompting Strategies for Large Language Models in Zero-Shot Clinical Natural Language Processing: Algorithm Development and Validation Study
2024 · Sonish Sivarajkumar, Mark Kelley, et al. · JMIR Medical Informatics · 216
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Text Classification via Large Language Models
2023 · Xiaofei Sun, Xiaoya Li, et al. · 215
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Images Speak in Images: A Generalist Painter for In-Context Visual Learning
2023 · Xinlong Wang, Wen Wang, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 199
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Multilingual Machine Translation with Large Language Models: Empirical Results and Analysis
2024 · Wenhao Zhu, Hongyi Liu, et al. · Findings of the Association for Computational Linguistics: NAACL · 189
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Works count: 7,558
Citation count: 38,480
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