evalplus/evalplus
Rigourous evaluation of LLM-synthesized code - NeurIPS 2023 & COLM 2024
Repository profile
No description.
Repository updates
Get generated openai/simple-evals development summaries by email, or follow the weekly and monthly RSS feeds.
Sign in to subscribe by email. RSS feeds are public.
Sign in to subscribeTracked growth, recent movement, and commit velocity from stored repository snapshots.
Latest capture 2026-07-16 03:03
6 captures since 2026-05-23
Stars from baseline +79
All tracked data
Frameworks, package managers, ecosystems, and dependency manifests found during catalog scans.
Scanned 2026-07-16 03:03
Searchable topics, generated tags, and stack labels that explain where this repository fits.
Agent instructions and tool configuration paths found in the repository tree.
Nearest indexed repositories by embedding similarity.
Rigourous evaluation of LLM-synthesized code - NeurIPS 2023 & COLM 2024
One-for-All Multimodal Evaluation Toolkit Across Text, Image, Video, and Audio Tasks
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
A streamlined and customizable framework for efficient large model (LLM, VLM, AIGC) evaluation and performance benchmarking.
[ICLR'25] BigCodeBench: Benchmarking Code Generation Towards AGI
Lighteval is your all-in-one toolkit for evaluating LLMs across multiple backends