🧑‍🔬 Lun-Wei Ku

🏛️ Affiliations

🔬Academia SinicaTaipei · Taiwan2013–2026 · 75 paperscurrent🔬Institute of Information Science, Academia SinicaTaipei · Taiwan2013–2026 · 42 paperscurrent🎓National Taiwan UniversityTaipei · Taiwan2002–2023 · 14 papers🎓National Yunlin University of Science and TechnologyDouliu · Taiwan2011–2012 · 4 papers🎓Pennsylvania State UniversityState College · United States2021–2022 · 3 papers🎓Carnegie Mellon UniversityPittsburgh · United States2017–2018 · 3 papers🎓University of Massachusetts AmherstAmherst Center · United States2019–2022 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 more institutions on single bylines are not listed.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Reactive Supervision: A New Method for Collecting Sarcasm Data (2020 · 36 citations)
   Sarcasm detection models need large labeled corpora. Existing ways of gathering such data each have drawbacks. Hashtag-based distant supervision is noisy and captures only the author's intent. Manual annotation and manual collection are slow, costly and capture a single perspective. The authors propose reactive…
2. Beyond Many-Shot Translation: Scaling In-Context Demonstrations For Low-Resource Machine Translation (2026 · 2 citations)
   The paper asks whether long-context LLMs can be adapted to low-resource machine translation through in-context learning alone, with no fine-tuning, if the prompt holds thousands of demonstrations rather than a few.
3. Expert Calibration Lens for Pruning Mixture of Experts (2026)
   Expert pruning makes Mixture-of-Experts (MoE) models cheaper to deploy, but its results depend heavily on the calibration set.
4. Truth or Dare: Analyzing LLM Susceptibility to External Evidence of Varying Factuality (2026)
   This paper asks how the specific properties of false retrieved evidence affect how easily LLMs are misled in retrieval-augmented question answering.

All works

6 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them.

1. LLM-in-the-loop: Leveraging Large Language Model for Thematic Analysis ↗Findings of the Association for Computational Linguistics: EMNLP 2023 · no summary yetShih-Chieh Dai, Aiping Xiong, Lun-Wei Ku2023 · 122 citations
2. Beyond Fair Pay: Ethical Implications of NLP Crowdsourcing ↗Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetBoaz Shmueli et al.2021 · 101 citations
3. Reactive Supervision: A New Method for Collecting Sarcasm DataConference on Empirical Methods in Natural Language Processing (EMNLP)Boaz Shmueli, Lun-Wei Ku, Soumya Ray2020 · 36 citations
4. Beyond Many-Shot Translation: Scaling In-Context Demonstrations For Low-Resource Machine TranslationWorkshop on Language Models for Low-Resource LanguagesLuis Frentzen Salim, Esteban Carlin, Alexandre Morinvil, et al.2026 · 2 citations
5. Expert Calibration Lens for Pruning Mixture of ExpertsAnnual Meeting of the Association for Computational Linguistics (ACL)Luis Frentzen Salim, Chia-Chun Wu, Tran Van Nhiem, et al.2026
6. Truth or Dare: Analyzing LLM Susceptibility to External Evidence of Varying FactualityWorkshop on Trustworthy NLPHan-Yu Su, Kuan-Yu Chu, Yung-Hui Li, et al.2026

🤝 Co-authors here

3 co-authors with a page, the most papers together first.

• Luis Frentzen Salim ×2
• Yung-Hui Li ×2
• Esteban Carlin

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2026
• Conference on Empirical Methods in Natural Language Processing (EMNLP): EMNLP 2020
• Workshop on Language Models for Low-Resource Languages: Workshop on Language Models for Low-Resource Languages 2026
• Workshop on Trustworthy NLP: Workshop on Trustworthy NLP 2026
• Findings of the Association for Computational Linguistics: EMNLP 2023
• Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

🔗 Cited by

Papers of our library cite their works 69 times (of the 149,439 papers whose bibliographies we read); 20 citing papers with a page here →.

Updated 1 November 2026

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/lun-wei-ku/