4 citations · 4 across the 9 of their papers we have counts for
9 papers
Do We Still Need Fine Tuning? Turkish Sentiment Analysis in the Era of Large Language Model
Sercan Karakaş, Yusuf Şimşek
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 Karakaş, Yusuf Şimşek
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 Karakaş, Yusuf Şimşek
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 Karakaş
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 Karakaş
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 Karakaş
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…
From Lemmas to Dependencies: What Signals Drive Light Verbs Classification?
Sercan Karakaş, Yusuf Şimşek
Light verb constructions (LVCs) are a challenging class of verbal multiword expressions, especially in Turkish, where rich morphology and productive complex predicates create minim…
Doğal Dil İşlemede Tokenizasyon Standartları ve Ölçümü: Türkçe Üzerinden Büyük Dil Modellerinin Karşılaştırmalı Analizi
M. Ali Bayram, Ali Arda Fincan, Ahmet Semih Gümüş +3
Tokenization is a fundamental preprocessing step in Natural Language Processing (NLP), significantly impacting the capability of large language models (LLMs) to capture linguistic…
Tokenization Standards for Linguistic Integrity: Turkish as a Benchmark
M. Ali Bayram, Ali Arda Fincan, Ahmet Semih Gümüş +3
Tokenization is a fundamental preprocessing step in NLP, directly impacting large language models' (LLMs) ability to capture syntactic, morphosyntactic, and semantic structures. Th…