Elamur Research⌕
☰
home / authors / Yihong Liu

Yihong Liu

Yihong Liu has 7 papers in our library, in 2025–2026, most of them on Multilingual & cross-lingual NLP, Language models & pretraining, Evaluation & benchmarks; often with Hinrich Schuetze, Chunlan Ma, Haotian Ye.

7 papers in our library · 2025–2026

OpenAlex · ORCID · h-index 7 · 58 works · 188 citations OpenAlex, 2026-10-14

📄 7 works in our library · 🔗 Cited 66 times in our library · ⭐ Paper Stars ranking: #7101

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

🎓Ludwig-Maximilians-Universität MünchenMunich · Germany2022–2025 · 25 papersEducation since 2022 · Ph.D Student, The Center for Information and Language Processing🎓Munich Center for Machine LearningMunich · Germany2023–2025 · 17 papers🎓Jiangxi University of EngineeringXinyu · China2020–2023 · 2 papers🎓University of TsukubaTsukuba · Japan2021–2022 · 2 papers🎓Hebei Agricultural UniversityBaoding · China2007–2008 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 13 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 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 7 worksComputer Science · 7 worksArtificial Intelligence · 7 worksLanguage and Linguistics · 7 worksComputer Vision and Pattern Recognition · 2 works

🧭 Topics 5Research subjects and languages the work is about.Multilingual & cross-lingual NLP · 7 worksLanguage models & pretraining · 3 worksSentiment & emotion · 1 workEvaluation & benchmarks · 2 worksReasoning · 1 work

 Works by year

2020s

20263 papers20254 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Lost in Multilinguality: Dissecting Cross-lingual Factual Inconsistency in Transformer Language Models (2025 · 31 citations)
    Multilingual language models often answer a factual question correctly in one language but wrongly when the same question is posed in another.
  2. M-ABSA: A Multilingual Dataset for Aspect-Based Sentiment Analysis (2025 · 21 citations)
    Research on aspect-based sentiment analysis (ABSA) relies mostly on English data. Earlier multilingual resources either use different content per language or cover only a few languages without aspect categories, which makes controlled cross-lingual comparison hard. The authors built M-ABSA, a parallel dataset for…
  3. How Transliterations Improve Crosslingual Alignment (2025 · 12 citations)
    Multilingual pretrained language models (mPLMs) transfer knowledge less effectively between languages written in different scripts.
  4. TransMI: A Framework to Create Strong Baselines from Multilingual Pretrained Language Models for Transliterated Data (2025 · 10 citations)
    Writing related languages in one shared script can improve crosslingual transfer. However, existing mPLMs split romanized text into meaningless pieces, so earlier work usually had to pretrain new models or run adaptation training. The authors propose TransMI (Transliterate-Merge-Initialize), a procedure that requires…
  5. A Comprehensive Evaluation of Multilingual Chain-of-Thought Reasoning: Performance, Consistency, and Faithfulness Across Languages (2026 · 7 citations)
    Research on multilingual reasoning in large reasoning models (LRMs) usually checks only whether the final answer is correct.
  6. Evaluating Robustness of Large Language Models Against Multilingual Typographical Errors (2026 · 1 citation)
    Most LLM benchmarks use clean text, but real users make keyboard slips in many languages, and little is known about how models cope with such noise outside English.
  7. Parallel Universes, Parallel Languages: A Comprehensive Study on LLM-based Multilingual Counterfactual Example Generation (2026)
    Counterfactual explanations are small edits to an input that flip a classifier's prediction. LLMs produce them well in English, but their quality in other languages had not been studied. To examine this, the authors evaluate three open instruction-tuned LLMs on XNLI and SIB200, two multilingual classification…

 Co-authors here

12 of 24 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 66 times (of the 149,439 papers whose bibliographies we read); 16 citing papers with a page here →.

Updated

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/yihong-liu/