Awesome LLM Evaluation

Evaluation of LLM and LLM based Systems

Compendium of LLM Evaluation methods

Introduction

The aim of this compendium is to assist academics and industry professionals in creating effective evaluation suites tailored to their specific needs. It does so by reviewing the top industry practices for assessing large language models (LLMs) and their applications. This work goes beyond merely cataloging benchmarks and evaluation studies; it encompasses a comprehensive overview of all effective and practical evaluation techniques, including those embedded within papers that primarily introduce new LLM methodologies and tasks. I plan to periodically update this survey with any noteworthy and shareable evaluation methods that I come across. I aim to create a resource that will enable anyone with queries—whether it's about evaluating a large language model (LLM) or an LLM application for specific tasks, determining the best methods to assess LLM effectiveness, or understanding how well an LLM performs in a particular domain—to easily find all the relevant information needed for these tasks. Additionally, I want to highlight various methods for evaluating the evaluation tasks themselves, to ensure that these evaluations align effectively with business or academic objectives.

My view on LLM Evaluation: Deck 24, and SF Big Analytics and AICamp 24 video Analytics Vidhya (Data Phoenix Mar 5 24) (by Andrei Lopatenko)

Adjacent compendium on LLM, Search and Recommender engines

The github repository

Table of contents

• Reviews and Surveys
• Leaderboards and Arenas
• Evaluation Software
• LLM Evaluation articles in tech media and blog posts from companies
• Frontier models
• Large benchmarks
• Evaluation of evaluation, Evaluation theory, evaluation methods, analysis of evaluation
• Long Comprehensive Studies
• HITL (Human in the Loop)
• LLM as Judge
• LLM Evaluation
  • Embeddings
  • In Context Learning
  • Hallucinations
  • Question Answering
  • Multi Turn
  • Reasoning
  • Multi-Lingual
  • Multi-Modal
    • Audio-Models
  • Instruction Following
  • Ethical AI
  • Biases
  • Safe AI
  • Cybersecurity
  • Code Generating LLMs
  • Summarization
  • LLM quality (generic methods: overfitting, redundant layers etc)
  • Inference Performance
  • Agent LLM architectures
  • AGI Evaluation
  • Long Text Generation
  • Document Understanding
  • Graph Understandings
  • Reward Models
  • Various unclassified tasks
• LLM Systems
  • RAG Evaluation
  • Evaluation Deep Research
  • Evaluation Agentic Search
  • [Evaluation Reasoning