其中比较著名的一篇是《Retrieval-Augmented Language Model Pre-training》(RALM),这篇文章提出了一种将检索和预训练语言模型相结合的方法,可以在不增加模型参数的情况下提高模型的性能,并且具有更好的泛化能力。 需要注意的是,In-Context Learning并不是一种全新的技术,而是基于现有技术的一种改进和优化。因此,不同...
Retrieval-Augmented Language Models (RALMs) have significantly improved performance in open-domain question answering (QA) by leveraging external knowledge. However, RALMs still struggle with unanswerable queries, where the retrieved contexts do not contain the correct answer, and with conflicting informat...
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation Re-Imagen: Retrieval-Augmented Text-to-Image Generator Imagic: Text-Based Real Image Editing with Diffusion Models
so as to predict the probabilities of future (or missing) tokens. Language models have revolutionized natural language processing (NLP) in recent years. It is now well-known that increasing the scale of language models (e.g., training compute, model parameters, etc.) can lead to better perfo...
这个方法特别适合现在普遍使用的Retrieval-Augmented Generation Method。 虽然现在有很多工作让模型能够处理更长的context,但是Context Windows 的增长反而会影响很多下游任务的performance[2]; 其次,之前的工作表面prompt中noise的增多,会影响LLMs的性能; Lost in the middle 中分析了prompt 中关键信息的位置对于LLMs的性...
Retrieval Augmented Generation Evaluation & Reliability Agent Multimodal Prompt Prompt Application Foundation Models 👨💻 LLM Usage ✉️ Contact 🙏 Acknowledgements 📢 News ☄️EgoAlpha releases the TrustGPT focuses on reasoning. Trust the GPT with the strongest reasoning abilities for auth...
Retrieval-augmented Multi-modal Chain-of-Thoughts Reasoning for Large Language Models(2023.12.04) Bingshuai Liu, Chenyang Lyu, Zijun Min, Zhanyu Wang, Jinsong Su, etc . - 【arXiv.org】 Exchange-of-Thought: Enhancing Large Language Model Capabilities through Cross-Model Communication(2023.12.04)...
ICL and Retrieval Augmented Generation (RAG) could improve the LLM performance and reduce hallucinations, consecutively making the use of LLMs possible in clinical practice.Methods:A method using ICL and RAG was developed on top of health AI platform (Gosta MedKit) to interpret the most recent ...
With the increasing capabilities of large language models (LLMs), in-context learning (ICL) has emerged as a new paradigm for natural language processing (NLP), where LLMs make predictions based on contexts augmented with a few examples. It has been a significant trend to explore ICL to ...
Rationale-Augmented Ensembles in Language Models. arXiv preprints arXiv:2207.00747, 2022a. Wang et al. (2022b) Wang, Y., Kordi, Y., Mishra, S., Liu, A., Smith, N. A., Khashabi, D., and Hajishirzi, H. Self-instruct: Aligning language model with self generated instructions. ...