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Jiaxin Bai

Jiaxin Bai has 2 papers in our library, in 2026, most of them on Reasoning, Knowledge graphs & ontologies, Vision & language; often with Baixuan Xu, Tianshi Zheng, Yangqiu Song.

2 papers in our library · 2026

OpenAlex · ORCID · Wikidata · h-index 17 · 68 works · 1,426 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 78 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #10403

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

🎓Hong Kong University of Science and TechnologyHong Kong · China2019–2026 · 44 papersEducationcurrent🏢Huawei TechnologiesShenzhen · China2026 · 1 papercurrent🎓Hong Kong Baptist UniversityHong Kong · China2026 · 13 papers🏢TencentShenzhen · China2020–2022 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 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.Knowledge graphs & ontologies · 1 workReasoning · 1 workVision & language · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. AutoGraph-R1: End-to-End Reinforcement Learning for Knowledge Graph Construction (2026 · 4 citations)
    Graph-based RAG systems usually build their knowledge graph once, judge it by intrinsic criteria such as precision or coverage, and then use it unchanged for question answering.
  2. 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.

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. ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations ↗Findings of the Association for Computational Linguistics: EMNLP 2020 · no summary yetShizhe Diao et al.2020 · 187 citations
  2. From Automation to Autonomy: A Survey on Large Language Models in Scientific Discovery ↗arXiv:2505.13259 · no summary yetTianshi Zheng et al.2025 · 39 citations
  3. AutoGraph-R1: End-to-End Reinforcement Learning for Knowledge Graph ConstructionAnnual Meeting of the Association for Computational Linguistics (ACL)Hong Ting Tsang, Jiaxin Bai, Haoyu Huang, et al.2026 · 4 citations
  4. DIXITWORLD: Evaluating Multimodal Abductive Reasoning in Vision-Language Models with Multi-Agent Dixit GameplayAnnual Meeting of the Association for Computational Linguistics (ACL)Yunxiang MO, Tianshi Zheng, Qing Zong, et al.2026 · 2 citations

 Co-authors here

7 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 78 times (of the 149,439 papers whose bibliographies we read); 10 citing papers with a page here →.

Updated

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