context tuning - Robuta Search

https://aclanthology.org/2022.acl-long.53/ Meta-learning via Language Model In-context Tuning - ACL Anthology Yanda Chen, Ruiqi Zhong, Sheng Zha, George Karypis, He He. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1:... meta learning language model context tuning via acl https://www.warriorforum.com/artificial-intelligence/1467761-open-source-library-extending-gpt-context-limits-simple-runtime-fine-tuning-custom-data.html Open Source Library for Extending GPT Context Limits & Simple "Runtime Fine-Tuning" on Custom Data... QUOTE: LlamaIndex (GPT Index) is a project that provides a central interface to connect your LLM's (large language models, such ... https://aclanthology.org/2024.emnlp-main.1131/ DeMPT: Decoding-enhanced Multi-phase Prompt Tuning for Making LLMs Be Better Context-aware... Xinglin Lyu, Junhui Li, Yanqing Zhao, Min Zhang, Daimeng Wei, Shimin Tao, Hao Yang, Min Zhang. Proceedings of the 2024 Conference on Empirical Methods in... https://arxiv.org/abs/2205.09864 [2205.09864] Automated Scoring for Reading Comprehension via In-context BERT Tuning Abstract page for arXiv paper 2205.09864: Automated Scoring for Reading Comprehension via In-context BERT Tuning for reading https://openreview.net/forum?id=rzn2OgflOK&referrer=%5Bthe%20profile%20of%20Xiafei%20Qiu%5D(%2Fprofile%3Fid%3D~Xiafei_Qiu1) Efficient Long Context Fine-tuning with Chunk Flow | OpenReview Long context fine-tuning of large language models(LLMs) involves training on datasets that are predominantly composed of short sequences and a small proportion... long context fine tuning efficient chunk flow https://aclanthology.org/2025.findings-naacl.326/ Tuning-Free Personalized Alignment via Trial-Error-Explain In-Context Learning - ACL Anthology Hyundong Justin Cho, Karishma Sharma, Nicolaas Paul Jedema, Leonardo F. R. Ribeiro, Jonathan May, Alessandro Moschitti. Findings of the Association for... https://openreview.net/forum?id=dSZ6Wr5qRz Fine-tuning LLM Agents with Retrospective In-Context Online Learning | OpenReview Fine-tuning large language models (LLMs) using online learning, where models learn from self-sampled data and environmental feedback, presents a promising but... fine tuning llm agents online learning https://aclanthology.org/2023.acl-short.154/ ScoNe: Benchmarking Negation Reasoning in Language Models With Fine-Tuning and In-Context Learning... Jingyuan S. She, Christopher Potts, Samuel R. Bowman, Atticus Geiger. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics...