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Du Su

Du Su has 2 papers in our library, in 2025–2026, most of them on Language models & pretraining; often with Fei Sun, Hexiang Tan, Jingang Wang.

2 papers in our library · 2025–2026

OpenAlex · ORCID · h-index 25 · 88 works · 2,553 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 10 times in our library · ⭐ Paper Stars ranking: #9615

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

🎓China University of Mining and Technology - BeijingBeijing2025–2026 · 3 paperscurrent🎓Nanjing UniversityNanjing · China2002–2017 · 14 papers🎓Shandong Normal UniversityJinan · China2018–2025 · 12 papers🎓Chongqing Medical UniversityChongqing · China2022–2025 · 9 papers🎓University of Maryland, Baltimore CountyBaltimore · United States2008–2012 · 7 papers🔬State Key Laboratory of Multiphase Flow in Power EngineeringXi'an2016–2023 · 6 papers🎓Xi'an Jiaotong UniversityXi'an · China2016–2023 · 6 papers🎓Beijing Institute of TechnologyBeijing · China2021–2023 · 5 papers🎓Guilin University of Electronic TechnologyGuilin · China2020–2022 · 5 papers🎓Beijing Forestry UniversityBeijing · China2023–2024 · 4 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 10 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 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

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

 Works by year

2020s

20261 paper20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Too Consistent to Detect: A Study of Self-Consistent Errors in LLMs (2025 · 12 citations)
    LLM error detectors often treat agreement across sampled answers as a sign of correctness. This paper identifies a blind spot in that assumption: self-consistent errors , where a model gives the same wrong answer, up to semantic equivalence, in its greedy output and in all stochastic samples. The authors define these…
  2. BaseCal: Unsupervised Confidence Calibration via Base Model Signals (2026 · 1 citation)
    Post-trained LLMs (PoLLMs), such as instruction-tuned or RLHF-aligned models, tend to be overconfident: they assign high probability even to wrong answers, which limits the usefulness of confidence for detecting hallucinations.

 Co-authors here

10 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 10 times (of the 149,439 papers whose bibliographies we read); 6 citing papers with a page here →.

Updated

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