3 papers
cs.CL2026
OCRTurk: A Comprehensive OCR Benchmark for Turkish
Deniz Yılmaz, Evren Ayberk Munis, ÃaÄrı Toraman +4
Document parsing is now widely used in applications, such as large-scale document digitization, retrieval-augmented generation, and domain-specific pipelines in healthcare and educ…
cs.CL2026
RAGTurk: Best Practices for Retrieval Augmented Generation in Turkish
Süha KaÄan Köse, Mehmet Can Baytekin, Burak AktaÅ +5
Retrieval-Augmented Generation (RAG) enhances LLM factuality, yet design guidance remains English-centric, limiting insights for morphologically rich languages like Turkish. We add…
cs.CL2026
BIRDTurk: Adaptation of the BIRD Text-to-SQL Dataset to Turkish
Burak AktaÅ, Mehmet Can Baytekin, Süha KaÄan Köse +4
Text-to-SQL systems have achieved strong performance on English benchmarks, yet their behavior in morphologically rich, low-resource languages remains largely unexplored. We introd…