Simple But Effective GRU Variants. - Gülsüm Yigit; Mehmet Fatih Amasyali (INISTA, 2021)

Assessing the impact of minor modifications on the interior structure of GRU: GRU1 and GRU2. - Gülsüm Yigit; Mehmet Fatih Amasyali (Concurr. Comput. Pract. Exp., 2022)

Exploring the Benefits of Data Augmentation in Math Word Problem Solving. - Gülsüm Yigit; Mehmet Fatih Amasyali (INISTA, 2023)

From Text to Multimodal: A Comprehensive Survey of Adversarial Example Generation in Question Answering Systems. - Gülsüm Yigit; Mehmet Fatih Amasyali (CoRR, 2023)

Enhancing multiple-choice question answering through sequential fine-tuning and Curriculum Learning strategies. - Gülsüm Yigit; Mehmet Fatih Amasyali (Knowl. Inf. Syst., 2023)

Data Augmentation with In-Context Learning and Comparative Evaluation in Math Word Problem Solving. - Gülsüm Yigit; Mehmet Fatih Amasyali (SN Comput. Sci., 2024)

From text to multimodal: a survey of adversarial example generation in question answering systems. - Gülsüm Yigit; Mehmet Fatih Amasyali (Knowl. Inf. Syst., 2024)

Chatbot development strategies: a review of current studies and applications. - Gülsüm Yigit; Rabia Bayraktar (Knowl. Inf. Syst., 2025)