Elamur Research⌕
☰
home / authors / Guanran Luo

Guanran Luo

Guanran Luo has 2 papers in our library, in 2026, most of them on Question answering, Text generation, Reasoning; often with Meihong Wang, Qingqiang Wu, Wentao Qiu.

2 papers in our library · 2026

OpenAlex · ORCID · h-index 2 · 13 works · 4 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 8 times in our library · ⭐ Paper Stars ranking: #10142

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

🎓Xiamen UniversityXiamen · China2025–2026 · 12 paperscurrent🎓Xiamen University of TechnologyXiamen · China2026 · 1 papercurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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 · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 3Research subjects and languages the work is about.Text generation · 1 workQuestion answering · 1 workReasoning · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. GCoT-Decoding: Unlocking Deep Reasoning Paths for Universal Question Answering (2026 · 6 citations)
    Chain-of-thought (CoT) reasoning usually depends on hand-crafted prompts. The earlier prompt-free CoT-decoding method only works when answers come from a fixed set, such as numbers, because it extracts an exact answer span and votes by string match. GCoT-decoding is a general decoding framework that removes this…
  2. AGSC: Adaptive Granularity and Semantic Clustering for Uncertainty Quantification in Long-text Generation (2026 · 2 citations)
    This paper targets uncertainty quantification (UQ) for long-form LLM outputs, where hallucinations are hard to detect because one response can mix several topics.

 Co-authors here

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

Updated

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