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Yingqiang Gao

Yingqiang Gao has 3 papers in our library, in 2025–2026, most of them on Evaluation & benchmarks, Reasoning; often with Sarah Ebling, Luisa Carrer, Reto Gubelmann.

3 papers in our library · 2025–2026

OpenAlex · h-index 1 · 17 works · 7 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 5 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #10674

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

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.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. Evaluating the Effectiveness of Direct Preference Optimization for Personalizing German Automatic Text Simplifications for Persons with Intellectual Disabilities (2025 · 4 citations)
    German automatic text simplification (ATS) models are usually trained on data curated by experts. The people they are meant to serve, persons with intellectual disabilities, rarely influence how these systems are built. This paper tests whether direct preference optimization (DPO) can steer LLM-based ATS systems…
  2. Benchmarking NLP-supported Language Sample Analysis for Swiss Children's Speech (2026)
    Language sample analysis (LSA) helps speech-language pathologists diagnose developmental language disorder (DLD) in children.
  3. Overview of the UZH Shared Task 2026 on Reconstructing the Reasoning in United Nations Resolutions (2026)
    Resolutions adopted by UN bodies form a highly formal, formulaic genre that argument mining has rarely studied, even though their paragraphs encode negotiated reasoning.

All works

5 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

  1. Evaluating the Effectiveness of Direct Preference Optimization for Personalizing German Automatic Text Simplifications for Persons with Intellectual DisabilitiesarXiv:2507.01479Yingqiang Gao, Kaede Johnson, David Froehlich, et al.2025 · 4 citations
  2. DETECT: Determining Ease and Textual Clarity of German Text Simplifications ↗Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetMaria Korobeynikova et al.2026 · 1 citation
  3. Taming CATS: Controllable Automatic Text Simplification through Instruction Fine-Tuning with Control Tokens ↗Proceedings of the Joint Workshop on Readability and Text Simplification (READIxTSAR) @ LREC 2026 · no summary yetHanna Hubarava, Yingqiang Gao2026

 Co-authors here

3 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 5 times (of the 149,439 papers whose bibliographies we read); 3 citing papers with a page here →.

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