GPT - Paper Without Code

A working code is worth a thousand words, so let LLM do it for you! “Paper without code” is an AI project to provide prototype implementations for classic and trending AI papers by using LLM code generation.

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Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search

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December 29, 2024

Huanjin Yao, Jiaxing Huang, Wenhao Wu, Jingyi Zhang, Yibo Wang, Shunyu Liu, Yingjie Wang, Yuxin Song, Haocheng Feng, Li Shen,…

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Logic-of-Thought: Injecting Logic into Contexts for Full Reasoning in Large Language Models (it is smarter than OpenAI o1!)

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September 30, 2024

Tongxuan Liu, Wenjiang Xu, Weizhe Huang, Xingyu Wang, Jiaxing Wang, Hailong Yang, Jing Li The paper “Logic-of-Thought: Injecting Logic into…

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Let’s Verify Step by Step (must-read to build OpenAI o1)

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September 21, 2024

Hunter Lightman, Vineet Kosaraju, Yura Burda, Harri Edwards, Bowen Baker, Teddy Lee, Jan Leike, John Schulman, Ilya Sutskever, Karl Cobbe…

16 min read 2

STaR: Self-Taught Reasoner Bootstrapping Reasoning With Reasoning

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August 31, 2024

Eric Zelikman, Yuhuai Wu, Jesse Mu, Noah D. GoodmanThe official github repo is https://github.com/ezelikman/STaR The 2022 paper “STaR: Self-Taught Reasoner…

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Improving Language Understanding by Generative Pre-Training (original GPT paper)

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August 24, 2024

Alec Radford, Karthik Narasimhan, Tim Salimans, Ilya Sutskever The paper “Improving Language Understanding by Generative Pre-Training” marks a pivotal moment…