Elamur Research⌕
☰
home / authors / Jiayu Liu

Jiayu Liu

Jiayu Liu has 3 papers in our library, in 2025–2026, most of them on Reasoning, Language models & pretraining, Vision & language; often with Qing Zong, Yangqiu Song, Baixuan Xu.

3 papers in our library · 2025–2026

OpenAlex · ORCID · h-index 7 · 24 works · 195 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 14 times in our library · ⭐ Paper Stars ranking: #9431

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

🎓University of Chinese Academy of SciencesBeijing · China2026 · 1 papercurrent🎓University of Science and Technology of ChinaHefei · China2019–2025 · 17 papers🎓Hong Kong University of Science and TechnologyHong Kong · China2025 · 2 papers🎓University College LondonLondon · United Kingdom2025 · 2 papers

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

🧭 Topics 3Research subjects and languages the work is about.Reasoning · 2 worksLanguage models & pretraining · 1 workVision & language · 1 work

 Works by year

2020s

20262 papers20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Revisiting Epistemic Markers in Confidence Estimation: Can Markers Accurately Reflect Large Language Models' Uncertainty? (2025 · 8 citations)
    The paper asks whether large language models use verbal epistemic markers, such as "fairly certain," in a way that consistently tracks how often they are actually right.
  2. Mathematical Proof as a Litmus Test: Revealing Failure Modes of Advanced Large Reasoning Models (2026 · 5 citations)
    Popular math benchmarks such as AIME have few items and check only final numerical answers, so the strong scores of large reasoning models can hide flawed reasoning.
  3. DIXITWORLD: Evaluating Multimodal Abductive Reasoning in Vision-Language Models with Multi-Agent Dixit Gameplay (2026 · 2 citations)
    The paper asks how well vision-language models (VLMs) handle multimodal abductive reasoning, meaning proposing and choosing the most plausible explanation from incomplete visual evidence.

 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 14 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/jiayu-liu/