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Yanmin Zhu

Yanmin Zhu has 3 papers in our library, in 2026, most of them on Dialogue systems, Language models & pretraining; often with Bin Li, Shuyu Zhang, Xinru Wang.

3 papers in our library · 2026

OpenAlex · ORCID · h-index 56 · 458 works · 11,419 citations OpenAlex, 2026-10-14

📄 3 works in our library · ⭐ Paper Stars ranking: #13383

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

🎓Shanghai Jiao Tong UniversityShanghai · China2008–2026 · 405 papersEmployment since 2008 · Professor, Department of Computer Science and Engineeringcurrent🎓Hong Kong University of Science and TechnologyHong Kong · China2004–2014 · 31 papers🎓Imperial College LondonLondon · United Kingdom2007–2009 · 14 papers🏛️Chinese Academy of SciencesBeijing · China2025–2026 · 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 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 3 worksArts and Humanities · 3 worksComputer Science · 3 worksLanguage and Linguistics · 3 worksDecision Sciences · 1 workManagement Science and Operations Research · 1 work

🧭 Topics 2Research subjects and languages the work is about.Dialogue systems · 2 worksLanguage models & pretraining · 1 work

 Works by year

2020s

20263 papers

 Papers

The most cited first (OpenAlex and our library).

  1. DarwinTOD: LLM-Driven Lifelong Self-evolution for Task-oriented Dialog Systems (2026)
    Task-oriented dialog (TOD) systems usually stay frozen after deployment. Pipeline designs pass errors from one module to the next, end-to-end LLM systems do not learn from use, and continual learning still depends on periodic retraining with curated data. DarwinTOD tackles this by letting a TOD system improve itself…
  2. DyBBT: Dynamic Balance via Bandit-inspired Targeting for Dialog Policy with Cognitive Dual Systems (2026)
    Deep RL dialog policies for task-oriented systems usually explore with fixed rules such as ϵ-greedy. These rules ignore how the value of exploring shifts over the course of a conversation. Evolutionary alternatives like EIERL scale poorly, and LLM deliberation is too costly to run at every turn. DyBBT treats the…
  3. HiCoLoRA: Addressing Context-Prompt Misalignment via Hierarchical Collaborative LoRA for Zero-Shot DST (2026)
    The paper addresses zero-shot dialog state tracking (zs-DST), in which a task-oriented dialog system must fill slots for domains it never saw during training.

 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.

Updated

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