activity
20132025
most citedReasoning over Taxonomic Change: Exploring Alignments for the Perelleschus Use Case

36 citations · 148 across the 24 of their papers we have counts for

collaborators

27 papers

cs.CL2025

CRABS: A syntactic-semantic pincer strategy for bounding LLM interpretation of Python notebooks

Meng Li, Timothy M. McPhillips, Dingmin Wang +2

Recognizing the information flows and operations comprising data science and machine learning Python notebooks is critical for evaluating, reusing, and adapting notebooks for new t…

cs.AI2025

AF-XRAY: Visual Explanation and Resolution of Ambiguity in Legal Argumentation Frameworks

Yilin Xia, Heng Zheng, Shawn Bowers +1

Argumentation frameworks (AFs) provide formal approaches for legal reasoning, but identifying sources of ambiguity and explaining argument acceptance remains challenging for non-ex…

cs.AI2025

Choices and their Provenance: Explaining Stable Solutions of Abstract Argumentation Frameworks

Bertram Ludäscher, Yilin Xia, Shawn Bowers

The rule , evaluated under the well-founded semantics (WFS), yields a unique 3-valued (skepti…

cs.DB2025

Logica-TGD: Transforming Graph Databases Logically

Evgeny Skvortsov, Yilin Xia, Bertram Ludäscher +1

Graph transformations are a powerful computational model for manipulating complex networks, but handling temporal aspects and scalability remain significant challenges. We present…

cs.CL2024

SciPrompt: Knowledge-augmented Prompting for Fine-grained Categorization of Scientific Topics

Zhiwen You, Kanyao Han, Haotian Zhu +2

Prompt-based fine-tuning has become an essential method for eliciting information encoded in pre-trained language models for a variety of tasks, including text classification. For…

cs.DB2024

Reconciling Conflicting Data Curation Actions: Transparency Through Argumentation

Yilin Xia, Shawn Bowers, Lan Li +1

We propose a new approach for modeling and reconciling conflicting data cleaning actions. Such conflicts arise naturally in collaborative data curation settings where multiple expe…