Yavuz Faruk Bakman

According to our database, Yavuz Faruk Bakman authored at least 13 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

TruthTorchLM: A Comprehensive Library for Predicting Truthfulness in LLM Outputs.

Duygu Nur Yaldiz, Yavuz Faruk Bakman, Sungmin Kang, Alperen Özis, Hayrettin Eren Yildiz, Mitash Ashish Shah, Zhiqi Huang, Anoop Kumar, Alfy Samuel, Daben Liu, Sai Praneeth Karimireddy, Salman Avestimehr

CoRR, July, 2025

Conformal Prediction Adaptive to Unknown Subpopulation Shifts.

Nien-Shao Wang, Duygu Nur Yaldiz, Yavuz Faruk Bakman, Sai Praneeth Karimireddy

CoRR, June, 2025

Do Not Design, Learn: A Trainable Scoring Function for Uncertainty Estimation in Generative LLMs.

Duygu Nur Yaldiz, Yavuz Faruk Bakman, Baturalp Buyukates, Chenyang Tao, Anil Ramakrishna, Dimitrios Dimitriadis, Jieyu Zhao, Salman Avestimehr

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

HARMONY: Hidden Activation Representations and Model Output-Aware Uncertainty Estimation for Vision-Language Models.

Erum Mushtaq, Zalan Fabian, Yavuz Faruk Bakman, Anil Ramakrishna, Mahdi Soltanolkotabi, Salman Avestimehr

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

Un-considering Contextual Information: Assessing LLMs' Understanding of Indexical Elements.

Metehan Oguz, Yavuz Faruk Bakman, Duygu Nur Yaldiz

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Reconsidering LLM Uncertainty Estimation Methods in the Wild.

Yavuz Faruk Bakman, Duygu Nur Yaldiz, Sungmin Kang, Tuo Zhang, Baturalp Buyukates, Salman Avestimehr, Sai Praneeth Karimireddy

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Do Not Design, Learn: A Trainable Scoring Function for Uncertainty Estimation in Generative LLMs.

Duygu Nur Yaldiz, Yavuz Faruk Bakman, Baturalp Buyukates, Chenyang Tao, Anil Ramakrishna, Dimitrios Dimitriadis, Salman Avestimehr

CoRR, 2024

Do LLMs Recognize me, When I is not me: Assessment of LLMs Understanding of Turkish Indexical Pronouns in Indexical Shift Contexts.

Metehan Oguz, Yusuf Umut Ciftci, Yavuz Faruk Bakman

CoRR, 2024

Predicting Uncertainty of Generative LLMs with MARS: Meaning-Aware Response Scoring.

Yavuz Faruk Bakman, Duygu Nur Yaldiz, Baturalp Buyukates, Salman Avestimehr, Chenyang Tao, Dimitrios Dimitriadis

Proceedings of the IEEE International Symposium on Information Theory, 2024

Federated Orthogonal Training: Mitigating Global Catastrophic Forgetting in Continual Federated Learning.

Yavuz Faruk Bakman, Duygu Nur Yaldiz, Yahya H. Ezzeldin, Salman Avestimehr

Proceedings of the Twelfth International Conference on Learning Representations, 2024

CroMo-Mixup: Augmenting Cross-Model Representations for Continual Self-Supervised Learning.

Erum Mushtaq, Duygu Nur Yaldiz, Yavuz Faruk Bakman, Jie Ding, Chenyang Tao, Dimitrios Dimitriadis, Salman Avestimehr

Proceedings of the Computer Vision - ECCV 2024, 2024

MARS: Meaning-Aware Response Scoring for Uncertainty Estimation in Generative LLMs.

Yavuz Faruk Bakman, Duygu Nur Yaldiz, Baturalp Buyukates, Chenyang Tao, Dimitrios Dimitriadis, Salman Avestimehr

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Federated Alternate Training (Fat): Leveraging Unannotated Data Silos in Federated Segmentation for Medical Imaging.

Erum Mushtaq, Yavuz Faruk Bakman, Jie Ding, Salman Avestimehr

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023