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Shenghua Liu

Shenghua Liu has 4 papers in our library, in 2025–2026, most of them on Language models & pretraining, Reasoning, Bias, fairness & safety; often with Baolong Bi, Lingrui Mei, Xueqi Cheng.

4 papers in our library · 2025–2026

OpenAlex · ORCID · Wikidata · h-index 22 · 102 works · 2,089 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 21 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #9052

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

🏛️Chinese Academy of SciencesBeijing · China2012–2026 · 75 paperscurrent🔬Institute of Computing TechnologyBeijing · China2012–2026 · 68 paperscurrent🎓University of Chinese Academy of SciencesBeijing · China2017–2025 · 26 papers🔬Institute of High Energy PhysicsBeijing · China2018–2025 · 5 papers🎓Carnegie Mellon UniversityPittsburgh · United States2017–2018 · 4 papers🎓Central China Normal UniversityWuhan · China2011–2019 · 2 papers🎓Tsinghua UniversityBeijing · China2005–2017 · 1 paperEducation 2005–2010 · Ph.D., Computer Science and Technology
🏛️Institute of Computing Technology, Chinese Academy of SciencesBeijing · China2010–2025Employment 2010–2014 · Assistant ProfessorEmployment 2014–2025 · Associate ProfessorEmployment since 2025 · Professor

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 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 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 4 worksComputer Science · 4 worksArtificial Intelligence · 4 worksLanguage and Linguistics · 4 worksComputer Vision and Pattern Recognition · 3 works

🧭 Topics 3Research subjects and languages the work is about.Bias, fairness & safety · 1 workLanguage models & pretraining · 1 workReasoning · 1 work

 Works by year

2020s

20263 papers20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Can Graph Descriptive Order Affect Solving Graph Problems with LLMs? (2025 · 10 citations)
    Studies of LLM graph reasoning usually turn a graph into text by listing its edges in an arbitrary sequence.
  2. Gated Differentiable Working Memory for Long-Context Language Modeling (2026 · 4 citations)
    Long inputs remain difficult for transformer LLMs. Attention spreads thin over thousands of tokens, and evidence placed mid-document is often overlooked. Test-time training methods such as qTTT address this by briefly fine-tuning "fast weights" on the given context. However, they sample positions uniformly, so they…
  3. HiddenGuard: Fine-Grained Safe Generation with Specialized Representation Router (2026 · 4 citations)
    Safety alignment in LLMs usually works as a yes/no gate: a prompt is either answered or refused. This tends to block harmless requests, such as a "killer slideshow," and to miss subtle or context-dependent harm. The authors propose HiddenGuard, which moderates output token by token instead of refusing whole answers.
  4. a1: Steep Test-time Scaling Law via Environment Augmented Generation (2026 · 2 citations)
    LLMs often fail at long multi-step reasoning. They usually generate a whole solution in one pass with no intermediate checks, so an early mistake carries through to the final answer. The authors propose Environment Augmented Generation (EAG), which casts reasoning as a Markov Decision Process. While generating, the…

All works

5 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them.

  1. BeatGAN: Anomalous Rhythm Detection using Adversarially Generated Time Series ↗International Joint Conference on Artificial Intelligence · no summary yetBin Zhou et al.2019 · 302 citations
  2. Can Graph Descriptive Order Affect Solving Graph Problems with LLMs?Annual Meeting of the Association for Computational Linguistics (ACL)Yuyao Ge, Shenghua Liu, Baolong Bi, et al.2025 · 10 citations
  3. Gated Differentiable Working Memory for Long-Context Language ModelingAnnual Meeting of the Association for Computational Linguistics (ACL)Lingrui Mei, Shenghua Liu, Yiwei Wang, et al.2026 · 4 citations
  4. HiddenGuard: Fine-Grained Safe Generation with Specialized Representation RouterAnnual Meeting of the Association for Computational Linguistics (ACL)Lingrui Mei, Shenghua Liu, Yiwei Wang, et al.2026 · 4 citations
  5. a1: Steep Test-time Scaling Law via Environment Augmented GenerationFindings of the Association for Computational LinguisticsLingrui Mei, Shenghua Liu, Yiwei Wang, et al.2026 · 2 citations

 Co-authors here

8 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 21 times (of the 149,439 papers whose bibliographies we read); 4 citing papers with a page here →.

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