---
title: "Hitachi — works of 2026: 2 papers, the most cited first"
description: "2 works of Hitachi from 2026 in our library, the most cited first. Among them: Mitigating Catastrophic Forgetting in Target Language…"
canonical: "https://research.elamur.ai/free/en/companies/hitachi/year/2026/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/companies/hitachi/year/2026/)

[home](https://md.research.elamur.ai/free/en/) / [institutions](https://md.research.elamur.ai/free/en/orgs/) / [companies](https://md.research.elamur.ai/free/en/companies/) / [Hitachi](https://md.research.elamur.ai/free/en/companies/hitachi/) / 2026

# Works of Hitachi from 2026

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

1. **[Mitigating Catastrophic Forgetting in Target Language Adaptation of LLMs via Source-Shielded Updates](https://md.research.elamur.ai/free/en/papers/yamaguchi-2026-mitigating-catastrophic-forgetting-target-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Atsuki Yamaguchi, Terufumi Morishita, Aline Villavicencio, et al.*2026 · 3 citations*
2. **[Disentangling the Effects of Unlearning in Measuring Parametric Faithfulness of Chain-of-Thought](https://md.research.elamur.ai/free/en/papers/mitsuhashi-2026-disentangling-effects-unlearning-measuring-parametric/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ryo Mitsuhashi, Gaku Morio, Ayana Niwa, et al.*2026*
- [← back to](https://md.research.elamur.ai/free/en/companies/hitachi/) — Hitachi