Awesome LLMs Evaluation Papers

Awesome LLMs Evaluation Papers

This repository provides a curated list of papers organized according to the survey Evaluating Large Language Models: A Comprehensive Survey.

Key Features

• Comprehensive coverage of evaluation methodologies across various aspects of LLMs.
• Categorized papers including Knowledge and Capability Evaluation, Alignment Evaluation, and Safety Evaluation.
• Includes benchmarks and leaderboards for LLM performance.
• Regular updates with new research contributions.

Benefits

• Serves as a valuable resource for researchers and practitioners in the field of AI and LLMs.
• Facilitates a better understanding of the capabilities and risks associated with large language models.
• Promotes community involvement in maintaining and expanding the paper list.

Highlights

• Authors include recognized contributors from Tianjin University and other institutions.
• Encourages citation and feedback to enhance the resource.