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Jiaying Wu

Jiaying Wu has 2 papers in our library, in 2025–2026, most of them on Language models & pretraining; often with Haonan Wang, Jiafeng Guo, Min-Yen Kan.

2 papers in our library · 2025–2026

OpenAlex · ORCID · Wikidata · h-index 7 · 30 works · 230 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 30 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #8817

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

🎓National University of SingaporeSingapore · Singapore2019–2026 · 16 paperscurrent🎓Changsha University of Science and TechnologyChangsha · China2022–2023 · 2 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 8The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksSocial Sciences · 2 worksSociology and Political Science · 2 worksComputer Vision and Pattern Recognition · 1 workInformation Systems · 1 workArtificial Intelligence · 1 workArts and Humanities · 1 workLanguage and Linguistics · 1 work

🧭 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. IMOL: Incomplete-Modality-Tolerant Learning for Multi-Domain Fake News Video Detection (2025 · 23 citations)
    Detectors for fake news videos usually assume that every post has video, audio, text and an image, and they are usually trained on a single topic area.
  2. Beyond the Crowd: LLM-Augmented Community Notes for Governing Health Misinformation (2026 · 1 citation)
    Community Notes on X lets volunteers attach context to misleading posts, but the process is slow. The authors studied 30.8K English health-related notes and found that corrections usually arrive after public attention has peaked. Most notes never get enough votes to be shown at all. To speed this up, they propose…

All works

4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. IMOL: Incomplete-Modality-Tolerant Learning for Multi-Domain Fake News Video DetectionAnnual Meeting of the Association for Computational Linguistics (ACL)Zhi Zeng, Jiaying Wu, Minnan Luo, et al.2025 · 23 citations
  2. MLR-Bench: Evaluating AI Agents on Open-Ended Machine Learning Research ↗arXiv:2505.19955 · no summary yetHui Chen et al.2025 · 21 citations
  3. Beyond the Crowd: LLM-Augmented Community Notes for Governing Health MisinformationAnnual Meeting of the Association for Computational Linguistics (ACL)Jiaying Wu, Zihang Fu, Haonan Wang, et al.2026 · 1 citation
  4. From Detection to Understanding: Multi-Turn Reasoning for Video Misinformation Analysis ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetZhi Zeng et al.2026

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

Updated

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