This repository serves as a curated collection of papers and their associated open-source code from the ICLR conference, focusing on recent advancements in Large Language Models (LLMs) and Natural Language Processing (NLP). It aims to provide researchers and practitioners with a centralized resource to track cutting-edge research and implementations, particularly in LLM-related fields.

How It Works

The repository aggregates links to papers and their corresponding code repositories, primarily sourced from ICLR publications. It categorizes these resources by conference year, allowing users to easily navigate through different editions of the conference. The project's primary function is to act as a dynamic index, facilitating discovery and access to the latest research outputs in the AI community.

Quick Start & Requirements

This repository is a collection of links and does not require installation. Users can directly access the papers and code via the provided links.

Highlighted Details

• Comprehensive collection of ICLR papers and code from 2021 to 2025.
• Strong focus on Large Language Models (LLMs) and Natural Language Processing (NLP).
• Regularly updated with new research findings.
• Includes links to papers, code repositories, and related resources like WeChat official accounts and community forums.

Maintenance & Community

The project is maintained by yinizhilian and welcomes community contributions through watching and forking. Further engagement is encouraged via provided Zhihu and WeChat channels.

Licensing & Compatibility

The licensing of individual papers and code repositories varies and is determined by their respective creators. Users should refer to the specific licenses of each linked resource.

Limitations & Caveats

This repository is a curated list and does not host any code or papers directly. The availability and maintenance of linked code repositories are dependent on their original authors.