3 papers
cs.CL2026
Matching Meaning at Scale: Evaluating Semantic Search for 18th-Century Intellectual History through the Case of Locke
Yu Wu, Ananth Mahadevan, Filip Ginter +2
While digitized corpora have transformed the study of intellectual transmission, current methods rely heavily on lexical text reuse detection, capturing verbatim quotations but fun…
cs.CL2026
Breaking the Generator Barrier: Disentangled Representation for Generalizable AI-Text Detection
Xiao Pu, Zepeng Cheng, Lin Yuan +2
As large language models (LLMs) generate text that increasingly resembles human writing, the subtle cues that distinguish AI-generated content from human-written content become inc…
cs.CL2026
Detecting Latin in Historical Books with Large Language Models: A Multimodal Benchmark
Yu Wu, Ke Shu, Jonas Fischer +4
This paper presents a novel task of extracting low-resourced and noisy Latin fragments from mixed-language historical documents with varied layouts. We benchmark and evaluate the p…