arXiv — NLP / Computation & Language · July 22, 2026 · 3 min read

Saving the legacy of Hero Ibash: Evaluating Four Language Models for Aminoacian

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Computer Science > Computation and Language

arXiv:2402.18121 (cs)

This paper has been withdrawn by arXiv Admin

[Submitted on 28 Feb 2024 (v1), last revised 21 Jul 2026 (this version, v2)]

Title:Saving the legacy of Hero Ibash: Evaluating Four Language Models for Aminoacian

Authors:Yunze Xiao, Yiyang Pan

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Abstract:This study assesses four cutting-edge language models in the underexplored Aminoacian language. Through evaluation, it scrutinizes their adaptability, effectiveness, and limitations in text generation, semantic coherence, and contextual understanding. Uncovering insights into these models' performance in a low-resourced language, this research pioneers pathways to bridge linguistic gaps. By offering benchmarks and understanding challenges, it lays groundwork for future advancements in natural language processing, aiming to elevate the applicability of language models in similar linguistic landscapes, marking a significant step toward inclusivity and progress in language technology.

Comments:	arXiv admin note: This submission has been withdrawn due to violation of arXiv policies for acceptable submissions
Subjects:	Computation and Language (cs.CL); Artificial Intelligence (cs.AI)
Cite as:	arXiv:2402.18121 [cs.CL]
	(or arXiv:2402.18121v2 [cs.CL] for this version)
	https://doi.org/10.48550/arXiv.2402.18121 arXiv-issued DOI via DataCite

Submission history

From: arXiv Admin [view email]
[v1] Wed, 28 Feb 2024 07:22:13 UTC (160 KB)
[v2] Tue, 21 Jul 2026 17:26:53 UTC (1 KB) (withdrawn)

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