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Jundong Li

Jundong Li has 4 papers in our library, in 2024–2026, most of them on Language models & pretraining, Reasoning; often with Song Wang, Zhen Tan, Zihan Chen.

4 papers in our library · 2024–2026

OpenAlex · ORCID · Wikidata · h-index 57 · 312 works · 14,048 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 142 times in our library · 4 more in our library without a page yet · ⭐ Paper Stars ranking: #5052

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 VirginiaCharlottesville · United States2019–2026 · 187 papersEmployment since 2019 · Assistant Professorcurrent🎓Arizona State UniversityTempe · United States2015–2022 · 48 papers🏥Sun Yat-sen University Cancer CenterGuangzhou · China2018–2025 · 28 papers🔬State Key Laboratory of Oncology in South ChinaGuangzhou2018–2025 · 16 papers🎓Sun Yat-sen UniversityGuangzhou · China2018–2025 · 8 papers🎓University of ConnecticutStorrs · United States2024–2025 · 4 papers🏥Shanxi Provincial People’s HospitalTaiyuan · China2021–2023 · 4 papers🎓University of AlbertaEdmonton · Canada2014–2015 · 4 papers🎓Texas A&M UniversityCollege Station · United States2019–2023 · 3 papers🎓Xi'an Jiaotong UniversityXi'an · China2022–2023 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 9 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 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 4 worksComputer Science · 4 worksArtificial Intelligence · 4 worksLanguage and Linguistics · 4 worksComputer Vision and Pattern Recognition · 1 workComputer Networks and Communications · 1 work

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

 Works by year

2020s

20261 paper20252 papers20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Large Language Models for Data Annotation and Synthesis: A Survey (2024 · 262 citations)
    Labeling or generating training data by hand is slow, expensive and often requires domain experts. This survey examines how LLMs such as GPT-4, Gemini and LLaMA-2 can automate that work. It is a literature review, so it reports no new experiments. The authors frame the setting with two roles: an annotator model A…
  2. Learning from Diverse Reasoning Paths with Routing and Collaboration (2025 · 11 citations)
    Compact student models trained by black-box distillation usually see only one teacher rationale per question, which captures little of the teacher's reasoning repertoire.
  3. AnyMAC: Cascading Flexible Multi-Agent Collaboration via Next-Agent Prediction (2025 · 10 citations)
    LLM-based multi-agent systems usually link agents through fixed or learned graphs, often DAGs. These graphs allow each agent to be used only once per round and let agents see only their neighbours' messages. AnyMAC replaces the graph with a sequence. At each step, Next-Agent Prediction (NAP) picks which role to call…
  4. Mind the Gap in Cultural Alignment: Task-Aware Culture Management for Large Language Models (2026 · 2 citations)
    Large language models often carry a Western-leaning cultural bias. Existing cultural alignment methods, such as persona prompting or fine-tuning on value surveys like WVS, have two weaknesses. Broad value data transfers poorly to concrete culture-sensitive tasks such as offensive language detection. Training one…

All works

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

  1. Large Language Models for Data Annotation and Synthesis: A SurveyConference on Empirical Methods in Natural Language Processing (EMNLP)Zhen Tan, Dawei Li, Song Wang, et al.2024 · 262 citations
  2. Be More with Less: Hypergraph Attention Networks for Inductive Text Classification ↗Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yetKaize Ding et al.2020 · 261 citations
  3. Radar: Residual Analysis for Anomaly Detection in Attributed Networks ↗International Joint Conference on Artificial Intelligence · no summary yetJundong Li et al.2017 · 249 citations
  4. Learning from Diverse Reasoning Paths with Routing and CollaborationConference on Empirical Methods in Natural Language Processing (EMNLP)Zhenyu Lei, Zhen Tan, Song Wang, et al.2025 · 11 citations
  5. AnyMAC: Cascading Flexible Multi-Agent Collaboration via Next-Agent PredictionConference on Empirical Methods in Natural Language Processing (EMNLP)Song Wang, Zhen Tan, Zihan Chen, et al.2025 · 10 citations
  6. Reasoning of Large Language Models over Knowledge Graphs with Super-Relations ↗arXiv:2503.22166 · no summary yetSong Wang et al.2025 · 8 citations
  7. Mind the Gap in Cultural Alignment: Task-Aware Culture Management for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Binchi Zhang, Xujiang Zhao, Jundong Li, et al.2026 · 2 citations
  8. LOKA: Conflict-Aware LLM Knowledge Update with Adaptive Knowledge Memory ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetBinchi Zhang et al.2026

 Co-authors here

12 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 142 times (of the 149,439 papers whose bibliographies we read); 31 citing papers with a page here →.

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