---
title: "Wei Huang — papers of 2023 — 2 papers, the most cited first"
description: "Wei Huang — papers of 2023: 2 papers on Elamur Research, the most cited first — what each work is about in our own words."
canonical: "https://research.elamur.ai/free/en/authors/wei-huang/year/2023/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/wei-huang/year/2023/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Wei Huang](https://md.research.elamur.ai/free/en/authors/wei-huang/) / 2023

# Wei Huang — papers of 2023 — 2 papers, the most cited first

2 papers · [all years of Wei Huang](https://md.research.elamur.ai/free/en/authors/wei-huang/#years)

**[A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation](https://md.research.elamur.ai/free/en/papers/huang-2023-survey-safety-trustworthiness-large-language/) [Artificial Intelligence Review](https://md.research.elamur.ai/free/en/venues/artificial-intelligence-review/)**Xiaowei Huang, Wenjie Ruan, Wei Huang, et al.*2023 · 199 citations*

- [DARWIN Series: Domain Specific Large Language Models for Natural Science arXiv:2308.13565](https://md.research.elamur.ai/free/en/papers/xie-2023-darwin-series-domain-specific-large/) — Tong Xie, Yuwei Wan, Wei Huang, et al. · 2023 · 55 citations
