A framework for few-shot evaluation of language models.
-
Updated
Apr 18, 2025 - Python
A framework for few-shot evaluation of language models.
The LLM Evaluation Framework
Lighteval is your all-in-one toolkit for evaluating LLMs across multiple backends
This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.
Data-Driven Evaluation for LLM-Powered Applications
AgentLab: An open-source framework for developing, testing, and benchmarking web agents on diverse tasks, designed for scalability and reproducibility.
Metrics to evaluate the quality of responses of your Retrieval Augmented Generation (RAG) applications.
Python SDK for running evaluations on LLM generated responses
The official evaluation suite and dynamic data release for MixEval.
Moonshot - A simple and modular tool to evaluate and red-team any LLM application.
A research library for automating experiments on Deep Graph Networks
PySODEvalToolkit: A Python-based Evaluation Toolbox for Salient Object Detection and Camouflaged Object Detection
Evaluation suite for large-scale language models.
A framework for standardizing evaluations of large foundation models, beyond single-score reporting and rankings.
Multilingual Large Language Models Evaluation Benchmark
Optical Flow Dataset and Benchmark for Visual Crowd Analysis
Official repository for the paper “The Dawn of Natural Language to SQL: Are We Fully Ready?” (VLDB'24)
Evaluation framework for oncology foundation models (FMs)
The robust European language model benchmark.
LiDAR SLAM comparison and evaluation framework
Add a description, image, and links to the evaluation-framework topic page so that developers can more easily learn about it.
To associate your repository with the evaluation-framework topic, visit your repo's landing page and select "manage topics."