Elamur Research⌕
☰
home / authors / Chao Shen

Chao Shen

Chao Shen has 3 papers in our library, in 2024–2026, most of them on Language models & pretraining, Reasoning; often with Chengzhengxu Li, Xiaoming Liu, Zhaohan Zhang.

3 papers in our library · 2024–2026

OpenAlex · ORCID · h-index 4 · 15 works · 72 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 24 times in our library · ⭐ Paper Stars ranking: #8336

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

🎓Xi'an Technological UniversityXi'an · China2024–2026 · 5 paperscurrent🎓Xi'an Jiaotong UniversityXi'an · China2024–2025 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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 · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksComputational Theory and Mathematics · 1 work

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

 Works by year

2020s

20261 paper20251 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Does DetectGPT Fully Utilize Perturbation? Bridging Selective Perturbation to Fine-tuned Contrastive Learning Detector would be Better (2024 · 16 citations)
    The paper tackles detection of machine-generated text (MGT) and addresses three weaknesses of DetectGPT. Its random perturbations can inject noise. It reduces perturbation to a single probability-difference score. Its threshold-based logit regression generalizes poorly and fails on single or small-batch inputs. The…
  2. Enhancing Mathematical Reasoning in LLMs by Stepwise Correction (2025 · 14 citations)
    Best-of-N decoding samples several independent solutions to a math problem and keeps the highest-scoring one.
  3. Confidence Should Be Calibrated More Than One Turn Deep (2026 · 3 citations)
    Research on LLM confidence calibration has mostly looked at single-turn question answering. Real deployments, however, involve dialogues where users push back. The authors define multi-turn calibration : confidence must match accuracy at every turn, given the conversation history. They introduce ECE@T , which…

 Co-authors here

11 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 24 times (of the 149,439 papers whose bibliographies we read); 8 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/chao-shen/