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Qingxuan Jiang

Qingxuan Jiang has 3 papers in our library, in 2026, most of them on Language models & pretraining, Speech & spoken language; often with Fanghua Ye, Ruotian Ma, Xingyu Chen.

3 papers in our library · 2026

OpenAlex · h-index 2 · 20 works · 39 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 9 times in our library · ⭐ Paper Stars ranking: #10009

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

🏢TencentShenzhen · China2025–2026 · 5 paperscurrent🎓Northeast Electric Power UniversityJilin · China2023–2025 · 6 papers🎓Cornell UniversityIthaca · United States2020–2021 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution 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).Artificial Intelligence · 3 worksArts and Humanities · 3 worksComputer Science · 3 worksLanguage and Linguistics · 3 worksSafety Research · 1 workSocial Sciences · 1 workSignal Processing · 1 work

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 2 worksSpeech & spoken language · 1 work

 Works by year

2020s

20263 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Sentient Agent as a Judge: Evaluating Higher-Order Social Cognition in Large Language Models (2026 · 6 citations)
    Standard LLM leaderboards reward textual skill and helpfulness, but they rarely check whether a model actually reads people well.
  2. Too Good to be Bad: On the Failure of LLMs to Role-Play Villains (2026 · 3 citations)
    LLMs are increasingly used for interactive fiction, games and co-written stories, yet nobody had systematically checked whether they can convincingly play antagonists.
  3. BatonVoice: An Operationalist Framework for Enhancing Controllable Speech Synthesis with Linguistic Intelligence from LLMs (2026)
    Current LLM-based text-to-speech systems mostly use the LLM as a backbone for generating speech tokens. Controllable synthesis then depends on costly, inconsistent human annotation of speech with style labels, and the model's instruction-following ability goes largely unused. Inspired by operationalism, the authors…

 Co-authors here

12 of 16 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 9 times (of the 149,439 papers whose bibliographies we read); 4 citing papers with a page here →.

Updated

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