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Shaoxiong Ji

Shaoxiong Ji has 5 papers in our library, in 2024–2026, most of them on Machine translation, Language models & pretraining, Multilingual & cross-lingual NLP; often with Hongbin Na, John Torous, Jörg Tiedemann.

5 papers in our library · 2024–2026

OpenAlex · ORCID · Wikidata · h-index 21 · 68 works · 5,652 citations OpenAlex, 2026-10-14

📄 5 works in our library · 🔗 Cited 202 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #7134

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

🎓University of TurkuTurku · Finland2025–2026 · 14 paperscurrent🎓Aalto UniversityEspoo · Finland2020–2024 · 30 papers🎓University of HelsinkiHelsinki · Finland2023–2025 · 19 papersEmployment🎓The University of QueenslandBrisbane · Australia2018–2021 · 8 papers🎓University of EdinburghEdinburgh · United Kingdom2024–2025 · 2 papers🎓Monash UniversityMelbourne · Australia2021 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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 7The field of science this work belongs to (OpenAlex fields).Computer Science · 5 worksArtificial Intelligence · 5 worksArts and Humanities · 3 worksLanguage and Linguistics · 3 worksPsychology · 2 worksExperimental and Cognitive Psychology · 2 worksSocial Psychology · 2 works

🧭 Topics 5Research subjects and languages the work is about.Language models & pretraining · 1 workMultilingual & cross-lingual NLP · 1 workEvaluation & benchmarks · 1 workMachine translation · 1 workReasoning · 1 work

 Works by year

2020s

20263 papers20242 papers

 Papers

The most cited first (OpenAlex and our library).

  1. MaLA-500: Massive Language Adaptation of Large Language Models (2024 · 58 citations)
    Most large language models are trained mainly on English or a few dozen languages, so they perform poorly on low-resource languages.
  2. A New Massive Multilingual Dataset for High-Performance Language Technologies (2024 · 57 citations)
    Large language models and machine translation systems need huge amounts of text. Most existing corpora reprocess the same web snapshots, especially CommonCrawl. The HPLT project addresses this by building the HPLT language resources. They draw on CommonCrawl and on Internet Archive crawls that had not previously been…
  3. You Never Know a Person, You Only Know Their Defenses: Detecting Levels of Psychological Defense Mechanisms in Supportive Conversations (2026 · 15 citations)
    Psychological defenses are mostly automatic coping strategies. They shape what help seekers reveal and whether they accept or push back against support. Emotional support dialogue systems do not model them, and no public conversational dataset has been annotated with them. The authors address this gap with…
  4. Overview of the PsyDefDetect Shared Task at BioNLP 2026: Detecting Levels of Psychological Defense Mechanisms in Supportive Conversations (2026 · 13 citations)
    Emotional support dialogue systems have mostly modeled empathy, supporter strategies and affect. They have largely ignored how help-seekers' words reveal psychological defenses, which shape what people disclose and whether they accept help. The PsyDefDetect shared task at BioNLP@ACL 2026 addresses this gap. Systems…
  5. Test-Time Scaling of Reasoning Models for Machine Translation (2026 · 5 citations)
    The paper asks whether giving reasoning models more inference-time compute (test-time scaling, TTS) improves machine translation, as it does for math and coding.

All works

8 works of theirs in our library, the most cited first; 5 with a page here, the others link their original until we summarise them.

  1. Towards Interpretable Mental Health Analysis with Large Language Models ↗Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yetKailai Yang et al.2023 · 208 citations
  2. MaLA-500: Massive Language Adaptation of Large Language ModelsarXiv:2401.13303Peiqin Lin, Shaoxiong Ji, Jorg Tiedemann, et al.2024 · 58 citations
  3. A New Massive Multilingual Dataset for High-Performance Language TechnologiesLanguage Resources and Evaluation Conference (LREC)Ona de Gibert, Graeme Nail, Nikolay Arefyev, et al.2024 · 57 citations
  4. You Never Know a Person, You Only Know Their Defenses: Detecting Levels of Psychological Defense Mechanisms in Supportive ConversationsFindings of the Association for Computational LinguisticsHongbin Na, Zimu Wang, Zhaoming Chen, et al.2026 · 15 citations
  5. Overview of the PsyDefDetect Shared Task at BioNLP 2026: Detecting Levels of Psychological Defense Mechanisms in Supportive ConversationsBioNLPHongbin Na, Zimu Wang, Zhaoming Chen, et al.2026 · 13 citations
  6. Test-Time Scaling of Reasoning Models for Machine TranslationConference of the European Chapter of the Association for Computational Linguistics (EACL)Zihao Li, Shaoxiong Ji, Jörg Tiedemann2026 · 5 citations
  7. Reasoning over Grammar: Can Synthetic Linguistic Reasoning Traces Enhance Low-Resource Machine Translation? ↗arXiv:2606.03782 · no summary yetRenhao Pei et al.2026
  8. Last Translation Benchmark ↗arXiv:2609.04173 · no summary yetVilem Zouhar et al.2026

 Co-authors here

12 of 26 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 202 times (of the 149,439 papers whose bibliographies we read); 50 citing papers with a page here →.

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