---
title: "Lun-Wei Ku — papers of 2026 — 3 papers, the most cited first"
description: "Lun-Wei Ku — papers of 2026: 3 papers on Elamur Research, the most cited first — what each work is about in our own words."
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# Lun-Wei Ku — papers of 2026 — 3 papers, the most cited first

3 papers · [all years of Lun-Wei Ku](https://md.research.elamur.ai/free/en/authors/lun-wei-ku/#years)

**[Beyond Many-Shot Translation: Scaling In-Context Demonstrations For Low-Resource Machine Translation](https://md.research.elamur.ai/free/en/papers/salim-2026-beyond-many-shot-translation-scaling/) [Workshop on Language Models for Low-Resource Languages](https://md.research.elamur.ai/free/en/venues/loreslm/)**Luis Frentzen Salim, Esteban Carlin, Alexandre Morinvil, et al.*2026 · 2 citations*

**[Expert Calibration Lens for Pruning Mixture of Experts](https://md.research.elamur.ai/free/en/papers/salim-2026-expert-calibration-lens-pruning-mixture/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Luis Frentzen Salim, Chia-Chun Wu, Tran Van Nhiem, et al.*2026*

**[Truth or Dare: Analyzing LLM Susceptibility to External Evidence of Varying Factuality](https://md.research.elamur.ai/free/en/papers/su-2026-truth-or-dare-analyzing-llm/) [Workshop on Trustworthy NLP](https://md.research.elamur.ai/free/en/venues/trustnlp/)**Han-Yu Su, Kuan-Yu Chu, Yung-Hui Li, et al.*2026*