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Jing Yang

Jing Yang has 3 papers in our library, in 2026, most of them on Language models & pretraining, Low-resource languages, Reasoning; often with Vera Schmitt, Ariana Sahitaj, Charlott Jakob.

3 papers in our library · 2026

OpenAlex · h-index 0 · 1 works · 0 citations OpenAlex, 2026-10-14

📄 3 works in our library · ⭐ Paper Stars ranking: #11073

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

🎓Hubei UniversityWuhan · China2026 · 1 papercurrent🎓Wuhan Business UniversityWuhan · China2026 · 1 papercurrent🎓Wuhan UniversityWuhan · China2026 · 1 papercurrent

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

 Fields, topics and concepts

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

📚 Shelves 9The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 3 worksArts and Humanities · 3 worksComputer Science · 3 worksLanguage and Linguistics · 3 worksExperimental and Cognitive Psychology · 1 workGeneral Social Sciences · 1 workPsychology · 1 workSignal Processing · 1 workSocial Sciences · 1 work

🧭 Topics 4Research subjects and languages the work is about.Language models & pretraining · 1 workReasoning · 1 workLow-resource languages · 1 workSemitic languages · 1 work

 Works by year

2020s

20263 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Persona Prompting as a Lens on LLM Social Reasoning (2026 · 2 citations)
    The paper asks whether persona prompting (PP), where an LLM is told to answer as someone with given demographic traits, changes the word-level rationales it gives along with its labels, and whether those simulated viewpoints match real human annotators.
  2. A Fusion-Aware Two-Stage Framework for Mispronunciation Detection and Diagnosis in Low-Resource Modern Standard Arabic (2026)
    The paper tackles phoneme-level mispronunciation detection and diagnosis (MDD) for Modern Standard Arabic, where learner recordings are scarce and synthetic error data does not match real learner speech well.
  3. hermeneutichools at SemEval-2026 Task 4: Multiperspectivity as a Resource for Narrative Similarity Prediction (2026)
    The paper addresses SemEval-2026 Task 4 (Track A). Each item is an anchor story and two candidate stories, and a system must pick the candidate closer to the anchor. The authors treat the existence of several valid readings of a narrative as something a model can use, not a defect of the benchmark.

 Co-authors here

8 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.

Updated

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