A Business-Driven Real-World Financial Benchmark for Evaluating LLMs

Hallucinations (Confabulations) Document-Based Benchmark for RAG. Includes human-verified questions and answers.

Examining how large language models (LLMs) perform across various synthetic regression tasks when given (input, output) examples in their context, without any parameter update

A comprehensive guide to LLM evaluation methods designed to assist in identifying the most suitable evaluation techniques for various use cases, promote the adoption of best practices in LLM assessment, and critically assess the effectiveness of these evaluation methods.

A benchmark for prompt injection detection systems.

A collection of LLM related papers, thesis, tools, datasets, courses, open source models, benchmarks

A comprehensive code domain benchmark review of LLM researches.

Official implementation for "MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?"

LLM-KG-Bench is a Framework and task collection for automated benchmarking of Large Language Models (LLMs) on Knowledge Graph (KG) related tasks.

Program synthesis for 3D spatial reasoning

A Multimodal Finance Benchmark for Expert-level Understanding and Reasoning

Take your LLM to the optometrist.

Test your local LLMs on the AIME problems

[AAAI 2025] ORQA is a new QA benchmark designed to assess the reasoning capabilities of LLMs in a specialized technical domain of Operations Research. The benchmark evaluates whether LLMs can emulate the knowledge and reasoning skills of OR experts when presented with complex optimization modeling tasks.

Benchmark evaluating LLMs on their ability to create and resist disinformation. Includes comprehensive testing across major models (Claude, GPT-4, Gemini, Llama, etc.) with standardized evaluation metrics.

An app and set of methodologies designed to evaluate the performance of various Large Language Models (LLMs) on the text-to-SQL task. Our goal is to offer a standardized way to measure how well these models can generate SQL queries from natural language descriptions

FM-Leaderboard-er allows you to create leaderboard to find the best LLM/prompt for your own business use case based on your data, task, prompts

AlgoTune is a benchmark made up of 155 math, physics, and computer science problems. The goal is write code that solves each problem, and is faster than existing implementations.

RTL-Repo: A Benchmark for Evaluating LLMs on Large-Scale RTL Design Projects - IEEE LAD'24

We introduce a benchmark for testing how well LLMs can find vulnerabilities in cryptographic protocols. By combining LLMs with symbolic reasoning tools like Tamarin, we aim to improve the efficiency and thoroughness of protocol analysis, paving the way for future AI-powered cybersecurity defenses.