---
title: "Hikvision — works of 2024: 2 papers, the most cited first"
description: "2 works of Hikvision from 2024 in our library, the most cited first. Among them: LoRAMoE: Alleviating World Knowledge Forgetting in Large…"
canonical: "https://research.elamur.ai/free/en/companies/hikvision/year/2024/"
---
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# Works of Hikvision from 2024

2 works · the most cited first · [← Hikvision](https://md.research.elamur.ai/free/en/companies/hikvision/)

1. **[LoRAMoE: Alleviating World Knowledge Forgetting in Large Language Models via MoE-Style Plugin](https://md.research.elamur.ai/free/en/papers/dou-2024-loramoe-alleviating-world-knowledge-forgetting/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shihan Dou, Enyu Zhou, Yan Liu, et al.*2024 · 93 citations*
2. [**Secrets of RLHF in Large Language Models Part II: Reward Modeling arXiv:2401.06080**Binghai Wang, Rui Zheng, Lu Chen, et al.*2024 · 72 citations*](https://md.research.elamur.ai/free/en/papers/wang-2024-secrets-rlhf-large-language-models/)
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