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Kevin D. Ashley

5 papers hereh-index 320 citations6 works total

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

author position
  • middle author1
  • last author4

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CL4
  • cs.AI1
same name
  • Kevin D. Ashley — 5 papers, h 41
  • Kevin D. Ashley — 3 papers
  • Kevin D. Ashley — 2 papers, h 7
  • Kevin D. Ashley — 1 paper, h 1

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

most citedDo LLMs Truly Understand When a Precedent Is Overruled?

2 citations · 3 across the 4 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2026

DLawBench: Evaluating LLMs Through Multi-Turn Legal Consultation

Li Zhang, Yuzhen Shi, Yiran Hu +15

Lawyer-client consultation is a critical starting point for legal services. Effective legal assistance hinges on eliciting sufficient and truthful information from clients in order…

cs.CL2026

Retrieval-Based Multi-Label Legal Annotation: Extensible, Data-Efficient and Hallucination-Free

Li Zhang, Jaromir Savelka, Kevin Ashley

Multi-label legal annotation requires assigning multiple labels from large, evolving taxonomies to long, fact-intensive documents, often under limited supervision. Parametric encod…

cs.CL2025★ 2 cited

Do LLMs Truly Understand When a Precedent Is Overruled?

Li Zhang, Jaromir Savelka, Kevin Ashley

Large language models (LLMs) with extended context windows show promise for complex legal reasoning tasks, yet their ability to understand long legal documents remains insufficient…

cs.CL2025★ 1 cited

Thinking Longer, Not Always Smarter: Evaluating LLM Capabilities in Hierarchical Legal Reasoning

Li Zhang, Matthias Grabmair, Morgan Gray +1

Case-based reasoning is a cornerstone of U.S. legal practice, requiring professionals to argue about a current case by drawing analogies to and distinguishing from past precedents.…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.