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Tianlong Chen

Tianlong Chen has 4 papers in our library, in 2024–2026, most of them on Language models & pretraining, Dialogue systems, Knowledge graphs & ontologies; often with Zhen Tan, Song Wang, Dawei Li.

4 papers in our library · 2024–2026

OpenAlex · ORCID · Wikidata · h-index 28 · 220 works · 3,819 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 418 times in our library · 17 more in our library without a page yet · ⭐ Paper Stars ranking: #6985

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 North Carolina at Chapel HillChapel Hill · United States2023–2026 · 234 paperscurrent🎓North Carolina State UniversityRaleigh · United States2025–2026 · 5 paperscurrent🎓The University of Texas at AustinAustin · United States2020–2025 · 94 papers🎓Massachusetts Institute of TechnologyCambridge · United States2023–2025 · 16 papers🎓Texas A&M UniversityCollege Station · United States2019–2026 · 14 papers🎓Harvard UniversityCambridge · United States2023–2024 · 8 papers🎓Arizona State UniversityTempe · United States2024–2026 · 5 papers🔬MIT Computer Science and Artificial Intelligence LaboratoryCambridge · United States2023–2024 · 5 papers🏥University of North Carolina Health CareChapel Hill · United States2024–2026 · 4 papers🔬Broad InstituteCambridge · United States2024–2025 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 12 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 worksInformation Systems · 1 workComputer Networks and Communications · 1 work

🧭 Topics 4Research subjects and languages the work is about.Dialogue systems · 1 workEfficient models & compression · 1 workKnowledge graphs & ontologies · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20261 paper20252 papers20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. In Prospect and Retrospect: Reflective Memory Management for Long-term Personalized Dialogue Agents (2025 · 46 citations)
    LLM dialogue agents keep no state between sessions, so long-term personalization depends on external memory.
  2. Contextualization Distillation from Large Language Model for Knowledge Graph Completion (2024 · 30 citations)
    Pre-trained language models (PLMs) used for knowledge graph completion (KGC) depend on textual side information, such as Wikipedia articles or synset definitions.
  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. Metacognitive Self-Correction for Multi-Agent System via Prototype-Guided Next-Execution Reconstruction (2026 · 3 citations)
    LLM-based multi-agent systems (MAS) are fragile: one agent's mistake can spread through the collaboration and derail the whole run.

All works

21 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. Graph Contrastive Learning with Augmentations ↗neural information processing systems · no summary yetYuning You et al.2020 · 882 citations
  2. ABD-Net: Attentive but Diverse Person Re-Identification ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetTianlong Chen et al.2019 · 567 citations
  3. AdaMV-MoE: Adaptive Multi-Task Vision Mixture-of-Experts ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetTianlong Chen et al.2023 · 86 citations
  4. In Prospect and Retrospect: Reflective Memory Management for Long-term Personalized Dialogue AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhen Tan, Jun Yan, I-Hung Hsu, et al.2025 · 46 citations
  5. Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy ↗arXiv (Cornell University) · no summary yetPingzhi Li et al.2023 · 36 citations
  6. Contextualization Distillation from Large Language Model for Knowledge Graph CompletionFindings of the Association for Computational LinguisticsDawei Li, Zhen Tan, Tianlong Chen, et al.2024 · 30 citations
  7. GTBench: Uncovering the Strategic Reasoning Limitations of LLMs via Game-Theoretic Evaluations ↗arXiv (Cornell University) · no summary yetJinhao Duan et al.2024 · 27 citations
  8. GTBench: Uncovering the Strategic Reasoning Capabilities of LLMs via Game-Theoretic Evaluations ↗neural information processing systems · no summary yetJinhao Duan et al.2024 · 23 citations
  9. A Survey on Model MoErging: Recycling and Routing Among Specialized Experts for Collaborative Learning ↗arXiv (Cornell University) · no summary yetPrateek Yadav et al.2024 · 16 citations
  10. 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
  11. Is C4 Dataset Optimal for Pruning? An Investigation of Calibration Data for LLM Pruning ↗Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing · no summary yetAbhinav Bandari et al.2024 · 10 citations
  12. Take the Bull by the Horns: Hard Sample-Reweighted Continual Training Improves LLM Generalization ↗arXiv:2402.14270 · no summary yetXuxi Chen et al.2024 · 8 citations
  13. DOGe: Defensive Output Generation for LLM Protection Against Knowledge Distillation ↗arXiv:2505.19504 · no summary yetPingzhi Li et al.2025 · 6 citations
  14. Metacognitive Self-Correction for Multi-Agent System via Prototype-Guided Next-Execution ReconstructionFindings of the Association for Computational LinguisticsXu Shen, Qi Zhang, Song Wang, et al.2026 · 3 citations
  15. Unlearning Sensitive Information in Multimodal LLMs: Benchmark and Attack-Defense Evaluation ↗arXiv (Cornell University) · no summary yetVaidehi Patil et al.2025 · 3 citations
  16. Adapt-∞: Scalable Continual Multimodal Instruction Tuning via Dynamic Data Selection ↗arXiv (Cornell University) · no summary yetAdyasha Maharana et al.2024 · 3 citations
  17. Glider: Global and Local Instruction-Driven Expert Router ↗Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing · no summary yetPingzhi Li et al.2025 · 2 citations
  18. From Models to Systems: A Comprehensive Survey of Efficient Multimodal Learning ↗no summary yetPan Wang et al.2026 · 1 citation
  19. ReasonRec: A Reasoning-Augmented Multimodal Agent for Unified Recommendation ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetYihua Zhang et al.2026
  20. Demystify the Role of Memory in Machine Learning Engineering Agents ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetXinyu Zhao et al.2026
  21. Learning Flexible Large Multimodal Models with Arbitrary Modality Combinations ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetXinyu Zhao et al.2026

 Co-authors here

12 of 16 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 418 times (of the 149,439 papers whose bibliographies we read); 83 citing papers with a page here →.

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