9 papers
Do We Still Need Fine Tuning? Turkish Sentiment Analysis in the Era of Large Language Model
Sercan KarakaÅ, Yusuf ÅimÅek
This study examines whether supervised fine-tuning remains necessary for Turkish sentiment analysis in the era of large language models. We compare classical machine learning metho…
Supervision versus Demonstration-Based In-Context Learning for Multiword Expression Classification
Sercan KarakaÅ, Yusuf ÅimÅek
Turkish idiomatic light verb constructions (LVCs) are challenging for multiword expression processing because they often share the same surface form as fully literal verb-object co…
Benchmarking Source-Sensitive Reasoning in Turkish: Humans and LLMs under Evidential Trust Manipulation
Sercan KarakaÅ, Yusuf ÅimÅek
This paper investigates whether source trustworthiness shapes Turkish evidential morphology and whether large language models (LLMs) track this sensitivity. We study the past-domai…
Plausibility as Commonsense Reasoning: Humans Succeed, Large Language Models Do not
Sercan KarakaÅ
Large language models achieve strong performance on many language tasks, yet it remains unclear whether they integrate world knowledge with syntactic structure in a human-like, str…
Transfer Learning for an Endangered Slavic Variety: Dependency Parsing in Pomak Across Contact-Shaped Dialects
Sercan KarakaÅ
This paper presents new resources and baselines for Dependency Parsing in Pomak, an endangered Eastern South Slavic language with substantial dialectal variation and no widely adop…
Clause-Internal or Clause-External? Testing Turkish Reflexive Binding in Adapted versus Chain of Thought Large Language Models
Sercan KarakaÅ
This study evaluates whether state-of-the-art large language models capture the binding relations of Turkish reflexive pronouns. We construct a balanced evaluation set of 100 Turki…