This repository serves as a comprehensive resource hub for researchers and practitioners evaluating Large Language Models (LLMs), particularly ChatGPT. It curates a vast collection of academic papers, datasets, and detection tools focused on assessing LLM capabilities, limitations, and ethical considerations across various domains.

How It Works

The project organizes its content into several key categories: Survey papers, Dataset Resources, Evaluation Papers (categorized by task like NLU, Ethics, Reasoning, Multimodal, etc.), and Detection Tools (including metrics and available software). This structured approach allows users to quickly find relevant research and tools for their specific LLM evaluation needs. The inclusion of datasets like ChatLog and frameworks like Language-Model-as-an-Examiner highlights a focus on practical, data-driven evaluation methodologies.

Quick Start & Requirements

This repository is a curated list of resources, not a runnable software package. Accessing the papers typically requires PDF viewers, and datasets/tools link to their respective GitHub repositories or websites for installation and usage instructions.

Highlighted Details

• Extensive categorization of over 300 evaluation papers covering diverse LLM applications and research areas.
• Links to numerous datasets with statistics on their size and purpose, facilitating empirical LLM analysis.
• A dedicated section on detection tools, including specific metrics and software like GPTZero and OpenAI Classifier, for identifying AI-generated text.
• Regular updates, as indicated by the news entries, suggesting active maintenance of the resource list.

Maintenance & Community

The repository is maintained by THU-KEG. While specific community links (like Discord/Slack) are not provided in the README, the presence of numerous GitHub links suggests a community-driven aspect through contributions to linked projects.

Licensing & Compatibility

The repository itself does not specify a license. The linked papers and tools will have their own respective licenses, which users must consult. Compatibility for commercial use or closed-source linking depends entirely on the licenses of the individual resources cited.

Limitations & Caveats

This is a meta-resource; it does not provide direct functionality. Users must navigate to external links for datasets and tools, and the quality and availability of these external resources are not guaranteed by this repository. The rapid evolution of LLMs means the curated list may require frequent updates to remain current.