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Zhengliang Shi

Zhengliang Shi has 3 papers in our library, in 2024–2026, most of them on Language models & pretraining, Question answering, Speech & spoken language; often with Fanghua Ye, Qu Yang, Ruotian Ma.

3 papers in our library · 2024–2026

OpenAlex · h-index 0 · 2 works · 0 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 33 times in our library · ⭐ Paper Stars ranking: #7429

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 · 2 paperscurrent🎓Shandong UniversityJinan · 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 11The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksComputer Vision and Pattern Recognition · 1 workInformation Systems · 1 workEconomics and Econometrics · 1 workEconomics, Econometrics and Finance · 1 workSafety Research · 1 workSignal Processing · 1 workSocial Sciences · 1 work

🧭 Topics 5Research subjects and languages the work is about.Information retrieval & search · 1 workQuestion answering · 1 workEvaluation & benchmarks · 1 workLanguage models & pretraining · 1 workSpeech & spoken language · 1 work

 Works by year

2020s

20262 papers20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Generate-then-Ground in Retrieval-Augmented Generation for Multi-hop Question Answering (2024 · 65 citations)
    Multi-hop question answering (MHQA) requires LLMs to chain several pieces of knowledge. The usual retrieve-then-read approach depends on the retriever's quality and can be misled by noisy documents. It also ignores what the model already knows. The authors propose GenGround, a generate-then-ground framework that…
  2. 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…
  3. Social Welfare Function Leaderboard: On the Emergence of LLM Agents as the Welfare Dictator (2026)
    LLMs are increasingly used in consequential settings, but little is known about the values they apply when distributing scarce resources.

 Co-authors here

12 of 15 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 33 times (of the 149,439 papers whose bibliographies we read); 6 citing papers with a page here →.

Updated

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