A framework for few-shot evaluation of language models.
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Updated
May 19, 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
A framework for standardizing evaluations of large foundation models, beyond single-score reporting and rankings.
Evaluation suite for large-scale language models.
Multilingual Large Language Models Evaluation Benchmark
🔥[VLDB'24] Official repository for the paper “The Dawn of Natural Language to SQL: Are We Fully Ready?”
Optical Flow Dataset and Benchmark for Visual Crowd Analysis
Evaluation framework for oncology foundation models (FMs)
The robust European language model benchmark.
Industrial-level evaluation benchmarks for Coding LLMs in the full life-cycle of AI native software developing.企业级代码大模型评测体系,持续开放中
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