# IAAR-Shanghai/UHGEval

<https://repo.masters-masters.com/en/repos/IAAR-Shanghai/UHGEval>

[Home](https://repo.masters-masters.com/en) › [IAAR-Shanghai](https://repo.masters-masters.com/en/owners/IAAR-Shanghai) › [UHGEval](https://repo.masters-masters.com/en/repos/IAAR-Shanghai/UHGEval)

IAAR-Shanghai/UHGEval has 184 stars on GitHub. Its RepoMasters card: Prototype tier. \[ACL 2024\] User-friendly evaluation framework: Eval Suite & Benchmarks…

| Field | Value |
| --- | --- |
| Owner | [IAAR-Shanghai](https://repo.masters-masters.com/en/owners/IAAR-Shanghai) |
| Stars | 184 |
| Forks | 12 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2023 |
| Topics | benchmark, dataset, evaluation, llm, chatgpt, gpt-3, gpt-4, hallucinations, large-language-models, qwen |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [IAAR-Shanghai/UHGEval](https://github.com/IAAR-Shanghai/UHGEval) |

## Repository

\[ACL 2024\] User-friendly evaluation framework: Eval Suite & Benchmarks: UHGEval, HaluEval, HalluQA, etc.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.