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Shanshan Xu

Technical University of Munich

4 papers hereh-index 5100 citations13 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author1
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL4
affiliations
  • Technical University of Munich
HomepageORCID 0009-0005-1203-1634
same name
  • Shanshan Xu — 3 papers, h 2
  • Shanshan Xu — 1 paper, h 5
  • Shanshan Xu — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

cs.CL2026

From Knowledge to Inference: Formalizing Specialized Public Health Reasoning on GlobalHealthAtlas

Zhaokun Yan, Shan Xu, Wuzheng Dong +10

Public health reasoning requires population level inference grounded in scientific evidence, expert consensus, and safety constraints. However, it remains underexplored as a struct…

cs.CL2026

LP-Eval: Rubric and Dataset for Measuring the Quality of Legal Proposition Generation

Shanshan Xu, Johan Lindholm, Amogh Raina +2

Legal proposition generation is central to legal reasoning and doctrinal scholarship, yet remain under-examined in Legal NLP. This paper investigates the automatic generation and e…

cs.CL2025

Efficient Prompt Optimisation for Legal Text Classification with Proxy Prompt Evaluator

Hyunji Lee, Kevin Chenhao Li, Matthias Grabmair +1

Prompt optimization aims to systematically refine prompts to enhance a language model's performance on specific tasks. Fairness detection in Terms of Service (ToS) clauses is a cha…

cs.CL2025

Better Aligned with Survey Respondents or Training Data? Unveiling Political Leanings of LLMs on U.S. Supreme Court Cases

Shanshan Xu, T. Y. S. S Santosh, Yanai Elazar +3

Recent works have shown that Large Language Models (LLMs) have a tendency to memorize patterns and biases present in their training data, raising important questions about how such…

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