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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
[ICML 2024] TrustLLM: Trustworthiness in Large Language Models
| Date | Stars |
|---|---|
| 2026-07-31 | 629 |
| 2026-08-05 | 630 |
| 2026-08-06 | 630 |
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<div align="center"> <img src="https://raw.githubusercontent.com/TrustLLMBenchmark/TrustLLM-Website/main/img/logo.png" width="100%"> # Toolkit for "**TrustLLM: Trustworthiness in Large Language Models**" [](https://trustllmbenchmark.github.io/TrustLLM-Website/) [](https://arxiv.org/abs/2401.05561) [](https://huggingface.co/datasets/TrustLLM/TrustLLM-dataset) [](https://atlas.nomic.ai/map/f64e87d3-c769-4a90-b15d-9dc833acc8ba/8e9d7045-503b-4ba0-bc64-7201cb7aacee?xs=-16.14086&xf=-1.88776&ys=-7.54937&yf=3.88213) [](https://trustllmbenchmark.github.io/TrustLLM-Website/leaderboard.html) [](https://howiehwong.github.io/TrustLLM/) [](https://pepy.tech/project/trustllm) [](https://pepy.tech/project/trustllm) [](https://pepy.tech/project/trustllm) <img src="https://img.shields.io/github/last-commit/HowieHwong/TrustLLM?style=flat-square&color=5D6D7E" alt="git-last-commit" /> <img src="https://img.shields.io/github/commit-activity/m/HowieHwong/TrustLLM?style=flat-square&color=5D6D7E" alt="GitHub commit activity" /> <img src="https://img.shields.io/github/languages/top/HowieHwong/TrustLLM?style=flat-square&color=5D6D7E" alt="GitHub top language" /> </div> <div align="center"> </div> ## Updates & News - [02/20/2025] Try our latest toolkit: Our new work **TrustGen** and **TrustEval** toolkit has been released! [TrustGen](https://trustgen.github.io/) provides comprehensive guidelines, assessment, and perspective for trustworthiness across multiple generative models, and [TrustEval](https://github.com/TrustGen/TrustEval-toolkit) offers a dynamic evaluation platform. - **TrustLLM** toolkit has been downloaded for 9000+ times! <details> <summary>Click to expand/collapse more</summary> - [15/07/2024] **TrustLLM** now supports [**UniGen**](https://unigen-framework.github.io/) for dynamic evaluation. - [02/05/2024] 🥂 **TrustLLM has been accepted by ICML 2024! See you in Vienna!** - [23/04/2024] :star: Version 0.3.0: Major updates including bug fixes, enhanced evaluation, and new models added (including ChatGLM3, Llama3-8b, Llama3-70b, GLM4, Mixtral). ([See details](https://howiehwong.github.io/TrustLLM/changelog.html)) - [20/03/2024] :star: Version 0.2.4: Fixed many bugs & Support Gemini Pro API - [01/02/2024] :page_facing_up: Version 0.2.2: See our new paper about the awareness in LLMs! ([link](https://arxiv.org/abs/2401.17882)) - [29/01/2024] :star: Version 0.2.1: trustllm toolkit now supports (1) Easy evaluation pipeline (2) LLMs in [replicate](https://replicate.com/) and [deepinfra](https://deepinfra.com/) (3) [Azure OpenAI API](https://azure.microsoft.com/en-us/products/ai-services/openai-service) - [20/01/2024] :star: Version 0.2.0 of trustllm toolkit is released! See the [new features](https://howiehwong.github.io/TrustLLM/changelog.html#version-020). - [12/01/2024] :surfer: The [dataset](https://huggingface.co/datasets/TrustLLM/TrustLLM-dataset), [leaderboard](https://trustllmbenchmark.github.io/TrustLLM-Website/leaderboard.html), and [evaluation toolkit](https://howiehwong.github.io/TrustLLM/) are released! </details> ## 👂**TL;DR** - TrustLLM (ICML 2024) is a comprehensive framework for studying trustworthiness of
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Yue Huang · University of Notre Dame · United States
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Sugato Ray · Truist · United States
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Zhmin Zhao · Software Analysis and Intelligence Lab (SAIL) & Lab on Maintenance, Construction and Intelligence of Software (MCIS) · Canada
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Ikko Eltociear Ashimine · Japan
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:afc7892bb92965da, topic:large-language-models, topic:llm
matched fp:afc7892bb92965da, topic:nlp, topic:natural-language-processing
matched fp:afc7892bb92965da, topic:benchmark, topic:evaluation
matched fp:afc7892bb92965da, topic:dataset