# DKI_LLM

**Repository Path**: mirrors_microsoft/DKI_LLM

## Basic Information

- **Project Name**: DKI_LLM
- **Description**: This is a repository for DKI group concerning the LLM-related papers alongside with code. 
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-03-20
- **Last Updated**: 2026-03-07

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# :mailbox: Paper Code Collection (Microsoft DKI Group) <img src="https://img-prod-cms-rt-microsoft-com.akamaized.net/cms/api/am/imageFileData/RE1Mu3b?ver=5c31" height="25" align=center>

[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)


This repo hosts multiple open-source codes of the [Microsoft DKI LLM Group](https://www.microsoft.com/en-us/research/group/data-knowledge-intelligence/). You could find the corresponding code as below:

## News
- January, 2025: our paper [Self-Evolve Reward Learning for LLMs](https://arxiv.org/abs/2411.00418) was accepted by ICLR 2025.


## Code Release (Click Title to Locate the Code)

### RL

> **[Self-Evolved Reward Learning for LLMs](SER)**
> Chenghua Huang, Zhizhen Fan, Lu Wang, Fangkai Yang, Pu Zhao, Zeqi Lin, Qingwei Lin, Dongmei Zhang, Saravan Rajmohan, Qi Zhang, ICLR 2025.

> **[RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning](RePrompt)**
> Mingrui Wu, Lu Wang, Pu Zhao, Fangkai Yang, Jianjin Zhang, Jianfeng Liu, Yuefeng Zhan, Weihao Han, Hao Sun, Jiayi Ji, Xiaoshuai Sun, Qingwei Lin, Weiwei Deng, Dongmei Zhang, Feng Sun, Qi Zhang, Rongrong Ji. Arxiv.

### Code Gen

> **[RepoGenesis: Benchmarking End-to-End Microservice Generation from Readme to Repository](RepoGenesis)**
> Zhiyuan Peng, Xin Yin, Pu Zhao, Fangkai Yang, Lu Wang, Ran Jia, Xu Chen, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang. Arxiv.

### Ads

> **[LettinGo: Explore User Profile Generation for Recommendation System](LettinGo)**
> Lu Wang, Di Zhang, Fangkai Yang, Pu Zhao, Jianfeng Liu, Yuefeng Zhan, Hao Sun, Qingwei Lin, Weiwei Deng, Dongmei Zhang, Feng Sun, Qi Zhang. KDD 2025.

## Contributing

This project welcomes contributions and suggestions.  Most contributions require you to agree to a
Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us
the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.

When you submit a pull request, a CLA bot will automatically determine whether you need to provide
a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions
provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/).
For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) or
contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additional questions or comments.

## Question

If you have any question or find any bug, please go ahead and [open an issue](https://github.com/microsoft/DKI_LLM/issues). Issues are an acceptable discussion forum as well.

If you want to concat the author, please email: `fangkaiyang AT microsoft.com`.