代码地址:https://github.com/YangLing0818/buffer-of-thought-llm 论文概述 这篇论文提出了思维缓冲区(Buffer of Thoughts,BoT),一种新颖且多功能的思维增强推理方法,旨在提升大型语言模型的准确性、效率和鲁棒性。通过元缓冲区来存储一系列信息丰富的高级思维,即思维模板,这些模板是从跨多种任务的问题解决过程中提...
Buffer of Thoughts (BoT) is a thought-augmented reasoning framework that enhances LLMs by incorporating a meta-buffer of problem-solving strategies and a buffer manager to dynamically select and adapt these strategies for improved performance on complex
bufferofthoughtllm.zipJt**ck 在2024-09-21 19:14:30 上传1003.16 KB chain-of-thought-reasoning large-language-models llm-reasoning retrieval-augmented-generation Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models官网网址 演示地址 授权方式: 界面语言: 平台环境: 点赞(0) 踩踩...
Buffer of Thoughts (BoT) is a thought-augmented reasoning framework that enhances LLMs by incorporating a meta-buffer of problem-solving strategies and a buffer manager to dynamically select and adapt these strategies for improved performance on complex
For each task, we choose one thought template sampled from our meta-buffer library. You may use our framework to construct your own meta buffer. 3. Quick Start First, set up the environment: git clone https://github.com/YangLing0818/buffer-of-thought-llmcdbuffer-of-thought-llm conda creat...
Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models - Sandy4321/buffer-of-thought-llm
YangLing0818 / buffer-of-thought-llm Public Notifications Fork 54 Star 536 Code Issues 10 Pull requests 1 Actions Projects Security Insights New issue 扩大思维模板 #12 Open Eagerretire opened this issue Sep 5, 2024· 0 comments ...
代码地址:https://github.com/YangLing0818/buffer-of-thought-llm 论文概述 这篇论文提出了思维缓冲区(Buffer of Thoughts,BoT),一种新颖且多功能的思维增强推理方法,旨在提升大型语言模型的准确性、效率和鲁棒性。通过元缓冲区来存储一系列信息丰富的高级思维,即思维模板,这些模板是从跨多种任务的问题解决过程中提...
代码链接:https://github.com/YangLing0818/buffer-of-thought-llm 近年来,大语言模型(LLMs)如GPT-4、PaLM和LLaMA在各种推理任务中展现了惊人的性能。然而,尽管这些模型在规模和性能上不断提升,它们在处理复杂推理任务时仍面临一定的挑战。 为了解决这些问题,我们提出了一种名为Buffer of Thoughts(BoT)的新型思维...
https://github.com/YangLing0818/buffer-of-thought-llmgithub.com/YangLing0818/buffer-of-thought-llm 单轮query,多轮query以及BoT方法概念图。 Background Reasoning方法大体可以归结为两类: single-query reasoning (i.e. CoT, Few-shot prompting): Efficiency尚可,但accuracy受prompt-engineering影响很大 ...