Elamur Research⌕
☰
home / authors / Hongyuan Adam Lu

Hongyuan Adam Lu

Hongyuan Adam Lu has 4 papers in our library, in 2023–2026, most of them on Language models & pretraining, Dialogue systems, Low-resource languages; often with Wai Lam, Dongdong Zhang, Furu Wei.

4 papers in our library · 2023–2026

OpenAlex · ORCID · h-index 22 · 82 works · 1,260 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 85 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #6776

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Chinese University of Hong KongHong Kong · China2021–2026 · 21 paperscurrent🎓China Medical UniversityShenyang · China2020–2026 · 13 paperscurrent🏥First Affiliated Hospital of Xinxiang Medical UniversityXinxiang · China2026 · 1 papercurrent🎓Henan Medical UniversityXinxiang · China2026 · 1 papercurrent🏥Henan Psychiatric HospitalXinxiang · China2026 · 1 papercurrent🎓Jilin UniversityChangchun · China2026 · 1 papercurrent🎓Shenyang Pharmaceutical UniversityShenyang · China2015–2025 · 14 papers🎓City University of Hong KongHong Kong · China2015–2019 · 9 papers🏥General Hospital of Shenyang Military RegionShenyang · China2015–2020 · 6 papers🏥Shanghai Guanghua Hospital of Integrated Traditional Chinese and Western MedicineShanghai · China2024–2025 · 4 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 8 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.

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 4 worksArts and Humanities · 4 worksComputer Science · 4 worksLanguage and Linguistics · 4 works

🧭 Topics 6Research subjects and languages the work is about.Low-resource languages · 1 workLanguage models & pretraining · 3 worksLegal AI · 1 workBias, fairness & safety · 1 workDialogue systems · 1 workTokenization & segmentation · 1 work

💡 Concepts 1Key ideas and methods explained on our concept pages.Lexicography · 1 work

 Works by year

2020s

20262 papers20241 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Chain-of-Dictionary Prompting Elicits Translation in Large Language Models (2024 · 81 citations)
    Large language models translate fairly well without dedicated training, but they still handle low-resource languages poorly, often because they mistranslate rare words.
  2. CLEAN-EVAL: Clean Evaluation on Contaminated Large Language Models (2023 · 20 citations)
    Benchmark scores of large language models may be inflated when test items leak into pretraining data, and many developers do not disclose their training corpora.
  3. Adam's Law: Textual Frequency Law on Large Language Models (2026 · 2 citations)
    The paper asks whether an LLM performs better when it receives a more common wording of the same content. The authors propose the Textual Frequency Law (TFL): among paraphrases with identical meaning, choose the one with the highest sentence-level frequency, both when prompting and when fine-tuning. Training corpora…
  4. Toxic Subword Pruning for Dialogue Response Generation on Large Language Models (2026)
    Most LLM safety work assumes a well-aligned model that must be protected from harmful prompts. This paper looks at a different case: the model itself is already toxic, for example after careless fine-tuning or tampering by someone with access to the weights. The authors propose ToxPrune, a training-free decoding…

All works

5 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. Chain-of-Dictionary Prompting Elicits Translation in Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Hongyuan Lu, Haoran Yang, Haoyang Huang, et al.2024 · 81 citations
  2. CLEAN-EVAL: Clean Evaluation on Contaminated Large Language ModelsFindings of the Association for Computational LinguisticsWenhong Zhu, Hongkun Hao, Zhiwei He, et al.2023 · 20 citations
  3. PCC: Paraphrasing with Bottom-k Sampling and Cyclic Learning for Curriculum Data Augmentation ↗Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics · no summary yetHongyuan Lu, Wai Lam2023 · 9 citations
  4. Adam's Law: Textual Frequency Law on Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Hongyuan Lu, Zixuan Li, Zefan Zhang, et al.2026 · 2 citations
  5. Toxic Subword Pruning for Dialogue Response Generation on Large Language ModelsJoint Conference on Lexical and Computational Semantics (*SEM)Hongyuan Adam Lu, Wai Lam2026

 Co-authors here

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

Venues

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

 Cited by

Papers of our library cite their works 85 times (of the 149,439 papers whose bibliographies we read); 17 citing papers with a page here →.

Updated

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/hongyuan-adam-lu/