---
title: "Shu-Kai Hsieh — papers of 2026 — 2 papers, the most cited first"
description: "Shu-Kai Hsieh — papers of 2026: 2 papers on Elamur Research, the most cited first — what each work is about in our own words."
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---
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# Shu-Kai Hsieh — papers of 2026 — 2 papers, the most cited first

2 papers · [all years of Shu-Kai Hsieh](https://md.research.elamur.ai/free/en/authors/shu-kai-hsieh/#years)

**[Capturing Ancient Chinese Sense Induction with Automatic Pipelines](https://md.research.elamur.ai/free/en/papers/tseng-2026-capturing-ancient-chinese-sense-induction/) [Workshop on Language Technologies for Historical and Ancient Languages @ LREC](https://md.research.elamur.ai/free/en/venues/lt4hala/)**Guan-Yu Tseng, Chunki Lim, Chih-Han Lin, et al.*2026*

**[Lexical Familiarity Predicts Processing Depth for Nonliteral Language in Large Language Models](https://md.research.elamur.ai/free/en/papers/yeh-2026-lexical-familiarity-predicts-processing-depth/) [Workshop on Trustworthy NLP](https://md.research.elamur.ai/free/en/venues/trustnlp/)**Lang-Ching Yeh, Yu-Chieh Wang, Shu-Kai Hsieh*2026*