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Xiaohua Wang

Xiaohua Wang has 4 papers in our library, in 2024–2026, most of them on Language models & pretraining, Information retrieval & search, Bias, fairness & safety; often with Changze Lv, Xiaoqing Zheng, Xuanjing Huang.

4 papers in our library · 2024–2026

OpenAlex · ORCID · h-index 13 · 77 works · 571 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 87 times in our library · ⭐ Paper Stars ranking: #5631

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

🏥Peking University Third HospitalBeijing · China2026 · 1 papercurrent🎓Xi'an Polytechnic UniversityXi'an · China2007–2025 · 39 papers🎓Soochow UniversitySuzhou · China2014–2020 · 4 papers🏥First Affiliated Hospital of Soochow UniversitySuzhou · China2012–2025 · 3 papers🔬State Key Laboratory of Electrical Insulation and Power EquipmentXi'an2024–2025 · 3 papers🎓Xi'an Jiaotong UniversityXi'an · China2024–2025 · 3 papers🎓Fudan UniversityShanghai · China2024 · 3 papers🎓Inner Mongolia UniversityHohhot · China2011–2017 · 2 papers🎓Xi'an University of TechnologyXi'an · China2008–2010 · 2 papers🎓Wuhan UniversityWuhan · China2004–2008 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 17 more institutions on single bylines are not listed.

 Fields, topics and concepts

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

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 4 worksComputer Science · 4 worksArtificial Intelligence · 4 worksLanguage and Linguistics · 4 worksInformation Systems · 1 workComputer Vision and Pattern Recognition · 1 work

🧭 Topics 4Research subjects and languages the work is about.Information retrieval & search · 1 workLanguage models & pretraining · 3 worksBias, fairness & safety · 1 workVision & language · 1 work

💡 Concepts 1Key ideas and methods explained on our concept pages.Retrieval-augmented generation · 1 work

 Works by year

2020s

20261 paper20251 paper20242 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Searching for Best Practices in Retrieval-Augmented Generation (2024 · 150 citations)
    Retrieval-augmented generation (RAG) pipelines consist of many stages, and each stage can be built in several ways.
  2. Aligning Large Language Models with Human Preferences through Representation Engineering (2024 · 37 citations)
    Aligning LLMs with human preferences usually relies on RLHF. RLHF needs extra reward and value models, is expensive and is often unstable to train. Cheaper reward-free alternatives such as DPO and HIR react badly to noisy or mislabeled preference pairs. The authors propose RAHF (Representation Alignment from Human…
  3. Revisiting Jailbreaking for Large Language Models: A Representation Engineering Perspective (2025 · 17 citations)
    The paper asks why LLMs that have been through safety alignment can still be jailbroken. It approaches the question through representation engineering. The authors argue that refusals of harmful requests come from particular activation signatures inside the model, which they call "safety patterns". To find them, they…
  4. VIB-Probe: Detecting and Mitigating Hallucinations in Vision-Language Models via Variational Information Bottleneck (2026 · 3 citations)
    Vision-Language Models often describe things that are not actually in the image. Most existing detectors look only at output confidence, such as logit entropy, or rely on external verifiers. VIB-Probe looks inside the model instead. During decoding, it collects the raw per-head attention outputs from every…

 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 87 times (of the 149,439 papers whose bibliographies we read); 17 citing papers with a page here →.

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