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Shuang Qiu

Shuang Qiu has 2 papers in our library, in 2024–2026, most of them on Language models & pretraining, Reasoning; often with Chengwei Qin, Han Zhao, Haoxiang Wang.

2 papers in our library · 2024–2026

OpenAlex · h-index 0 · 11 works · 0 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 61 times in our library · ⭐ Paper Stars ranking: #7380

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

🎓City University of Hong KongHong Kong · China2024–2026 · 16 paperscurrent🎓University of MichiganAnn Arbor · United States2016–2021 · 19 papers🎓Hong Kong University of Science and TechnologyHong Kong · China2023–2025 · 10 papers🎓University of ChicagoChicago · United States2022–2023 · 6 papers🎓University of RochesterRochester · United States2018–2019 · 2 papers

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 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksInformation Systems · 1 work

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

 Works by year

2020s

20261 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Arithmetic Control of LLMs for Diverse User Preferences: Directional Preference Alignment with Multi-Objective Rewards (2024 · 68 citations)
    Standard RLHF compresses human judgments into one scalar reward. This pushes a model toward an "average user" and ignores people whose tastes conflict, such as those who want useful but short answers. The authors propose Directional Preference Alignment (DPA) to address this.
  2. Self-Reflective Generation at Test Time (2026)
    Autoregressive LLMs cannot revise a token once it is emitted, so one early mistake in a long chain-of-thought can derail the whole solution.

 Co-authors here

12 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 61 times (of the 149,439 papers whose bibliographies we read); 14 citing papers with a page here →.

Updated

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