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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
✨✨Latest Papers and Benchmarks in Reasoning with Foundation Models
| Date | Stars |
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| 2026-07-31 | 655 |
| 2026-08-06 | 655 |
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# Awesome-Reasoning-Foundation-Models [](https://awesome.re) [](https://doi.org/10.5281/zenodo.10298864) [](https://arxiv.org/abs/2312.11562)  [`survey.pdf`](https://arxiv.org/pdf/2312.11562.pdf) | A curated list of awesome **large AI models**, or **foundation models**, for **reasoning**. We organize the current [foundation models](#2-foundation-models) into three categories: *language foundation models*, *vision foundation models*, and *multimodal foundation models*. Further, we elaborate the foundation models in [reasoning tasks](#3-reasoning-tasks), including *commonsense*, *mathematical*, *logical*, *causal*, *visual*, *audio*, *multimodal*, *agent reasoning*, etc. [Reasoning techniques](#4-reasoning-techniques), including *pre-training*, *fine-tuning*, *alignment training*, *mixture of experts*, *in-context learning*, and *autonomous agent*, are also summarized. We welcome contributions to this repository to add more resources. Please submit a pull request if you want to contribute! See [CONTRIBUTING](CONTRIBUTING.md). <!-- ## News --> ## Table of Contents <details open> <summary>table of contents</summary> - [0 Survey](#0-survey) - [1 Relevant Surveys](#1-relevant-surveys-and-links) - [2 Foundation Models](#2-foundation-models) - [2.1 Language Foundation Models](#21-language-foundation-models) - [2.2 Vision Foundation Models](#22-vision-foundation-models) - [2.3 Multimodal Foundation Models](#23-multimodal-foundation-models) - [2.4 Reasoning Applications](#24-reasoning-applications) - [3 Reasoning Tasks](#3-reasoning-tasks) - [3.1 Commonsense Reasoning](#31-commonsense-reasoning) - [3.2 Mathematical Reasoning](#32-mathematical-reasoning) - [3.3 Logical Reasoning](#33-logical-reasoning) - [3.4 Causal Reasoning](#34-causal-reasoning) - [3.5 Visual Reasoning](#35-visual-reasoning) - [3.6 Audio Reasoning](#36-audio-reasoning) - [3.7 Multimodal Reasoning](#37-multimodal-reasoning) - [3.8 Agent Reasoning](#38-agent-reasoning) - [3.9 Other Tasks and Applications](#39-other-tasks-and-applications) - [4 Reasoning Techniques](#4-reasoning-techniques) - [4.1 Pre-Training](#41-pre-training) - [4.2 Fine-Tuning](#42-fine-tuning) - [4.3 Alignment Training](#43-alignment-training) - [4.4 Mixture of Experts (MoE)](#44-mixture-of-experts-moe) - [4.5 In-Context Learning](#45-in-context-learning) - [4.6 Autonomous Agent](#46-autonomous-agent) </details> ## 0 Survey  This repository is primarily based on the following paper: >[**A Survey of Reasoning with Foundation Models: Concepts, Methodologies, and Outlook**](https://dl.acm.org/doi/10.1145/3729218) <br> > > [[Paper](https://dl.acm.org/doi/10.1145/3729218)][[ArXiv](https://arxiv.org/abs/2312.11562)] > > [Jiankai Sun](), [Chuanyang Zheng](https://chuanyang-zheng.github.io/), [Enze Xie](https://xieenze.github.io/), [Zhengying Liu](https://scholar.google.com/citations?user=DFme0joAAAAJ&hl=fr), [Ruihang Chu](), [Jianing Qiu](), [Jiaqi Xu](), [Mingyu Ding](), [Hongyang Li](https://lihongyang.info/), [Mengzhe Geng](), [Yue Wu](), [Wenhai Wang](https://whai362.github.io/), [Junsong Chen](), [Zhangyue Yin](), [Xiaozhe Ren](), [Jie Fu](https://bigaidream.github.io/), [Junxian He](https://jxhe.github.io/), [Wu Yuan](http://www.bme.cuhk.edu.hk/yuan/), [Qi Liu](https://leuchine.github.io/), [Xihui Liu](https://xh-liu.github.io/), [Yu Li](https://liyu95.com/), [Hao Dong](https://zsdonghao.github.io/), [Yu Cheng](https://scholar.google.com/citations?user=ORPxbV4AAAAJ&hl=zh-CN), [Ming Zhang](https://scholar.google.com/citations?user=LbzoQBsAAAAJ&hl=en), [Pheng Ann Heng](http://www.cse.cuhk.edu.hk/~pheng/), [Jifeng Dai](https://jifengdai.org/), [Ping Luo](http://luoping.me/), [Jingdong Wang](https://j
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Zhmin Zhao · Software Analysis and Intelligence Lab (SAIL) & Lab on Maintenance, Construction and Intelligence of Software (MCIS) · Canada
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Jack · Stanford University · United States
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Xufeng Zhao · University of Hamburg · Germany
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:1cac28d1cb5573f4, topic:llm, topic:foundation-models
matched fp:1cac28d1cb5573f4, topic:multimodal