一致性思维链（SELF-CONSISTENCY IMPROVES CHAIN OF THOUGHT REASONING IN LANGUAGE MODELS） - 代码天地

一致性思维链（SELF-CONSISTENCY IMPROVES CHAIN OF THOUGHT REASONING IN LANGUAGE MODELS）

业界资讯 2023-10-05 12:14:36 阅读次数: 0

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转载自blog.csdn.net/WitsMakeMen/article/details/133128793

一致性思维链（SELF-CONSISTENCY IMPROVES CHAIN OF THOUGHT REASONING IN LANGUAGE MODELS）

【Chain-of-Thought 专题】Self-consistency Improves Chain Of Thought Reasoning in Language Models

chain of thought prompting elicits reasoning in large language models

论文阅读：chain of thought Prompting elicits reasoning in large language models

思维链（Chain-of-Thought Prompting Elicits Reasoning in Large Language Models）

（论文阅读）Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

“Chain of Thought Reasoning“ 和 “Chain Prompts“ 是什么

Language Models, Agent Models, and World Models: The LAW for Machine Reasoning and Planning

Prompting Chain of Thought思维链开发实战

Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Self-training Improves Pre-training for Natural Language Understanding，NAACL2021

Preservational Learning Improves Self-supervised Medical Image Models by Reconstructing Diverse Cont

NLP中大语言模型LLM中的思维链 Chain-of-Thought(CoT) GoT

【自然语言处理 | Language Models】Language Models 常见算法介绍合集（一）

Consistency Large Language Models：高效并行解码的新时代

【NLP】Conditional Language Models

The rise of language models

Are Large Language Models Chameleons?

A Survey of Small Language Models

Bring Your Data！Self- supervised Evolution of Large Language Models

微调大模型（Finetuning Large Language Models）—Why Finetune（一）

Verify-and-Edit: A Knowledge-Enhanced Chain-of-Thought Framework

大语言模型的预训练[6]：思维链(Chain-of-thought，CoT)定义原理详解、Zero-shot CoT、Few-shot CoT 以及在LLM上应用

转：Language Models as Knowledge Embeddings

Adapting Language Models to Compress Contexts

Challenges and Applications of Large Language Models

Large Language Models in Finance: A Survey

Artificial Agency and Large Language Models

A Survey of Large Language Models Attribution

论文分享 - Reasoning with Memory Augmented Neural Networks for Language Comprehension

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