3 papers
cs.AI2026
Agents' Last Exam
Yiyou Sun, Xinyang Han, Weichen Zhang +306
Recent AI systems have achieved strong results on a wide range of benchmarks, yet these gains have not translated into economically meaningful deployment across many professional d…
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
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This paper presents a novel task of extracting low-resourced and noisy Latin fragments from mixed-language historical documents with varied layouts.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…