2 papers
cs.CL2026
PetQA: Benchmarking Veterinary Knowledge and Clinical Reasoning
Taegyun Kim, Youngwook Ham, Jungwook Rhim +3
We introduce PetQA, a Korean long-form question-answering (QA) benchmark for evaluating veterinary knowledge and clinical reasoning in large language models (LLMs) and large vision…
cs.AI2025
Tabular Feature Discovery With Reasoning Type Exploration
Sungwon Han, Sungkyu Park, Seungeon Lee
Feature engineering for tabular data remains a critical yet challenging step in machine learning. Recently, large language models (LLMs) have been used to automatically generate ne…