Elamur Research⌕
☰
home / authors / Senbo Zhang

Senbo Zhang

Senbo Zhang has 2 papers in our library, in 2026, most of them on Evaluation & benchmarks, Legal AI, Efficient models & compression; often with Fanghao Lou, Guanyu Chen, Huijia Li.

2 papers in our library · 2026

OpenAlex · h-index 0 · 2 works · 0 citations OpenAlex, 2026-10-14

📄 2 works in our library · ⭐ Paper Stars ranking: #13896

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

🎓Nankai UniversityTianjin · China2026 · 2 paperscurrent

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 7The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksPolitical Science and International Relations · 2 worksSocial Sciences · 2 worksLaw · 1 work

🧭 Topics 3Research subjects and languages the work is about.Efficient models & compression · 1 workEvaluation & benchmarks · 1 workLegal AI · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. DefGen-Bench: A Benchmark for Chinese Criminal Defence Opinion Generation in LegalAI (2026)
    The paper introduces defence opinion generation as a new LegalAI task. A model must produce a structured defence statement for a Chinese criminal case using two inputs: the indictment and the defendant's own stated position. These inputs often conflict, so the authors treat the task as a dual-perspective problem.…
  2. Less is More: Knowledge-Aware Compression for Long Legal Judgment Prediction (2026)
    Predicting court outcomes from long case descriptions is costly for LLMs because attention cost grows quadratically with input length, and crucial legal facts can get lost in lengthy contexts.

 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

This page in Markdown → https://md.research.elamur.ai/free/en/authors/senbo-zhang/