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Recent Submissions

Multilingual Domain Adaptation for Speech Recognition Using LLMs Ulu, Elif Nehir; Derya, Ece; Tumer, Duygu; Demirel, Berkan; Karamanlıoğlu, Alper (2026-01-01) We present a practical pipeline for multilingual domain adaptation in automatic speech recognition (ASR) that combines the Whisper model with large language models (LLMs). Using Aya-23-8B, Common Voice transcripts in 22 la...
Visual Mission Scripting for Multi-Agent-Based Simulation of Autonomous Platforms Şenyürek, Levent Hakkı; Çilden, Erkin; Çetintaş, İsmail Çağlar; Büyükgüzel, Batuhan; Demirok, Denizcan; Yeşilbağ, Yaşar Yücel; Sezer, Ahmet; Oğuztüzün, Mehmet Halit S. (2026-01-01) In closed-loop simulations, scripting the missions of autonomous agents before scenario execution is challenging. This is partly because of emergent multi-agent behavior, especially for scenarios of long-duration. Moreover...
terazi: AI Fairness Tool for Doubly Imbalanced Data Öztürk, Aslı Umay; Sever, Yiğit; Yalcin, Ata; Pauw, Viktoria; Hachinger, Stephan; Toroslu, İsmail Hakkı; Karagöz, Pınar (2025-11-10)
State & Geopolitical Censorship on Twitter (X): Detection & Impact Analysis of Withheld Content Çetinkaya, Yusuf Mucahit; Elmas, Tuğrulcan (2025-11-10) State and geopolitical censorship on Twitter, now X, has been turning into a routine, raising concerns about the boundaries between criminal content and freedom of speech. One such censorship practice, withholding content ...
NARRA-SCALE: Scaling Users and Messaging through Narrative Detection in Retweet Networks Çetinkaya, Yusuf Mucahit; Trivedi, Anshul; Yanamandala, Vishnu Datta; Cowan, Michael A.; Toroslu, İsmail Hakkı; Davulcu, Hasan (2025-11-03) In politically charged environments, understanding how ideological narratives emerge, spread, and shape user behav- ior on social media is critical for applications ranging from misin- formation detection to enriching publ...
TY-RIST: Tactical YOLO Tricks for Real-time Infrared Small Target Detection Atrash, Abdulkarim; Ertekin Bolelli, Şeyda; Uğur, Ömür; Moured, Omar; Chen, Yufan; Zhang, Jiaming (2025-10-23)
A Survey of Turkic Language Modeling: Challenges, Resources and Future Directions Çekinel, Recep Fırat; Çöltekin, Çağrı (2025-09-17)
Urban-Scale Prediction of Heat Pump Energy Demand with Low Temporal Resolution Data Gürsoy, Fatma Ece; Canlı, İlkim; Demir, Ataberk Yasin; Kalkan, Sinan; Taylan, Onur; Gürsel Dino, İpek (2025-06-06)
Multimodal Fact-Checking with Vision Language Models: A Probing Classifier based Solution with Embedding Strategies. Karagöz, Pınar; Çekinel, Recep Fırat; Çöltekin, Çağrı (2025-02-01)
Make Satire Boring Again: Reducing Stylistic Bias of Satirical Corpus by Utilizing Generative LLMs Öztürk, Aslı Umay; Çekinel, Recep Fırat; Karagöz, Pınar (2025-01-20)
Interchangeable Token Embeddings for Extendable Vocabulary and Alpha-Equivalence Işık, İlker; Cinbiş, Ramazan Gökberk; Gol, Ebru Aydin (2025-01-01) Language models lack the notion of interchangeable tokens: symbols that are semantically equivalent yet distinct, such as bound variables in formal logic. This limitation prevents generalization to larger vocabularies and ...
JASPER: An Agent-Based Simulation Tool for Test and Evaluation of Jammer-Angle Allocation Algorithms Baraklı, Ahmet Burak; Topçu, Okan; Oğuztüzün, Mehmet Halit S. (2025-01-01) As a result of the increasing use of unmanned aerial vehicles in modern warfare, advanced anti-drone systems have been developed, making it more important to analyze threat assessment and jammer-angle allocation algorithms...
Bucketed Ranking-Based Losses for Efficient Training of Object Detectors Yavuz, Feyza; Cam, Baris Can; Doğan, Adnan Harun; Oksuz, Kemal; Akbaş, Emre; KALKAN, SİNAN (2025-01-01) Ranking-based loss functions, such as Average Precision Loss and Rank&Sort Loss, outperform widely used score-based losses in object detection. These loss functions better align with the evaluation criteria, have fewer hyp...
Leveraging In-Context Learning to Transfer Cross-Domain Knowledge in Click-Through Rate Prediction Baglam I i grenme Kullanilarak Tiklama Orani Tahminlerine apraz Alan Bilgilerinin Aktarilmasi Aydogdu, Mehmet Erdeniz; Sengor Altingovde, Ismail; Karagöz, Pınar; Toroslu, İsmail Hakkı (2025-01-01) With the development of large language models, natural language tasks have seen significant improvements, including personalized recommendation. Traditional approaches in recommendation are often based on collaborative fil...
BERT and SVM Integration for Fake News Detection in Turkish: Evaluation with a New Dataset T rk e Sahte Haber Tespiti i in BERT ve SVM Entegrasyonu: Yeni Bir Veri K mesi ile De?gerlendirme Cural, Necla Mutlu; Karabulut, Cemile; Karagöz, Pınar (2025-01-01) This study presents an expanded new dataset and a hybrid BERT-SVM model for fake news detection in Turkish. As part of the research, news articles collected from FCTR, SOSYALAN, X-Fact datasets and Turkish fact-checking pl...
Data Augmentation with Translation for Turkish Irony Detection T rk e Ironi Tespiti i in eviri ile Veri ogaltimi Kara, Burak Kemal; Karagöz, Pınar (2025-01-01) Irony detection in Turkish texts is a challenging task due to the nuanced nature of irony in natural language. The limited availability of irony data for Turkish is also an important limitation to train models. In this stu...
Mitigating Privacy Conflicts with Computational Theory of Mind Erdogan, Emre; Aydın, Hüseyin; Dignum, Frank; Verbrugge, Rineke; Yolum, Pınar (2025-01-01) Multiagent systems bring together agents that represent different users with possibly different concerns. When interacting to make decisions, conflicts occur. A well-known case is with privacy. Agents often need to manage ...
Improving Cross-Domain Recommendation Methods with Factorization Machine Integration C apraz Alan O neri Yo ntemlerinin Fakto rizasyon Makinesi Entegrasyonu ile Iyiles tirilmesi Colak, Ahmet Eren; Sengor Altingovde, Ismail; Karagöz, Pınar; Toroslu, İsmail Hakkı (2025-01-01) Cross-domain recommender systems aim to im- prove recommendations in the target domain by exploiting the source domain where abundant data is present. In this study, we investigate the combination of a shallow model, the f...
AviBERT: Transformer-based Aircraft Text Classification AviBERT: Transformer Tabanli Hava Araci Metni Siniflandirma Unal, Muhammed Cihat; Yurtalan, Gokhan; Karatas, Yahya Bahadir; Karamanlıoğlu, Alper; Demirel, Berkan (2025-01-01) In recent years, transformer-based models pre-trained on extensive corpora have played a critical role in the advancement of Natural Language Processing methodologies. Particularly, methods based on BERT have demonstrated ...
Evaluating the Impact of Client Selection Algorithms on Performance and Training Speed in Heterogeneous Resource Allocation and Non-IID Data Özdemir, Övgü; DİLEK, AYŞE; Karagöz, Pınar (2024-12-30)

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