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Hanchen Xia

Hanchen Xia has 2 papers in our library, in 2024–2026, most of them on Language models & pretraining; often with Chen Qian, Cheng Hong Yang, Kunlun Zhu.

2 papers in our library · 2024–2026

OpenAlex · h-index 0 · 5 works · 0 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 63 times in our library · ⭐ Paper Stars ranking: #8539

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

🎓Fudan UniversityShanghai · China2026 · 2 paperscurrent🎓Shanghai Innovation InstituteShanghai · China2026 · 1 papercurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 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).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work

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

 Works by year

2020s

20261 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Scaling Large Language Model-based Multi-Agent Collaboration (2024 · 70 citations)
    Most LLM-based multi-agent systems use fewer than ten agents, so it has been unclear whether adding far more collaborators keeps improving results, as adding neurons does under neural scaling laws.
  2. T: Progressive Block Scaling for Masked Diffusion Language Models Through Trajectory Aware Reinforcement Learning (2026)
    Masked diffusion language models (MDMs) usually decode in blocks. Larger blocks allow more tokens to be finalized in parallel, but math reasoning accuracy tends to drop as block size grows, especially for smaller models. The authors propose T⋆, a curriculum built on the trajectory-aware RL method TraceRL. It starts…

 Co-authors here

11 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 63 times (of the 149,439 papers whose bibliographies we read); 26 citing papers with a page here →.

Updated

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