few shot prompting - Robuta Search

https://openreview.net/forum?id=JPk7pWtuow&referrer=%5Bthe%20profile%20of%20Adam%20Gaier%5D(%2Fprofile%3Fid%3D~Adam_Gaier1) Language Model Crossover: Variation through Few-Shot Prompting | OpenReview This article pursues the insight that language models naturally enable an intelligent variation operator similar in spirit to evolutionary crossover. In... few shot prompting language model crossover variation openreview https://www.langchain.com/blog/few-shot-prompting-to-improve-tool-calling-performance Few-shot prompting to improve tool-calling performance We ran a few experiments, which show how few-shot prompting can significantly enhance model accuracy - especially for complex tasks. Read on for how we did it... few shot prompting tool calling improve performance https://www.thoughtworks.com/en-us/radar/techniques/dynamic-few-shot-prompting Dynamic few-shot prompting | Technology Radar | Thoughtworks United States Dynamic few-shot prompting builds upon few-shot prompting by dynamically including specific examples in the prompt to guide the model's responses. Adjusting... few shot prompting technology radar dynamic thoughtworks united https://aclanthology.org/2025.findings-emnlp.729/ Revisiting Chain-of-Thought Prompting: Zero-shot Can Be Stronger than Few-shot - ACL Anthology Xiang Cheng, Chengyan Pan, Minjun Zhao, Deyang Li, Fangchao Liu, Xinyu Zhang, Xiao Zhang, Yong Liu. Findings of the Association for Computational Linguistics:... chain of thought prompting https://aclanthology.org/2024.icon-1.4/ Improving Few-shot Prompting using Cluster-based Sample Retrieval for Medical NER in Clinical Text... Meethu Mohan C, Sneha Shaji Punnan, Jeena Kleenankandy. Proceedings of the 21st International Conference on Natural Language Processing (ICON). 2024. https://openreview.net/forum?id=DmD1wboID9 BayesPrompt: Prompting Large-Scale Pre-Trained Language Models on Few-shot Inference via Debiased... As a novel and effective fine-tuning paradigm based on large-scale pre-trained language models (PLMs), prompt-tuning aims to reduce the gap between downstream... https://deepai.org/publication/multimodal-few-shot-object-detection-with-meta-learning-based-cross-modal-prompting Multimodal Few-Shot Object Detection with Meta-Learning Based Cross-Modal Prompting | DeepAI Apr 16, 2022 - 04/16/22 - We study multimodal few-shot object detection (FSOD) in this paper, using both few-shot visual examples and class semantic informa...