Duygu Nur Yaldiz

According to our database, Duygu Nur Yaldiz authored at least 18 papers between 2023 and 2026.

Collaborative distances:

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

2026

Hair-Trigger Alignment: Black-Box Evaluation Cannot Guarantee Post-Update Alignment.

Yavuz Faruk Bakman, Duygu Nur Yaldiz, Salman Avestimehr, Sai Praneeth Karimireddy

CoRR, January, 2026

Balancing Classification and Calibration Performance in Decision-Making LLMs via Calibration Aware Reinforcement Learning.

Duygu Nur Yaldiz, Evangelia Spiliopoulou, Zheng Qi, Siddharth Varia, Srikanth Doss, Nikolaos Pappas

CoRR, January, 2026

2025

Reject Only Critical Tokens: Pivot-Aware Speculative Decoding.

Amir Ziashahabi, Yavuz Faruk Bakman, Duygu Nur Yaldiz, Mostafa El-Khamy, Sai Praneeth Karimireddy, Salman Avestimehr

CoRR, November, 2025

Uncertainty Quantification for Hallucination Detection in Large Language Models: Foundations, Methodology, and Future Directions.

Sungmin Kang, Yavuz Faruk Bakman, Duygu Nur Yaldiz, Baturalp Buyukates, Salman Avestimehr

CoRR, October, 2025

Uncertainty as Feature Gaps: Epistemic Uncertainty Quantification of LLMs in Contextual Question-Answering.

Yavuz Faruk Bakman, Sungmin Kang, Zhiqi Huang, Duygu Nur Yaldiz, Catarina G. Belém, Chenyang Zhu, Anoop Kumar, Alfy Samuel, Salman Avestimehr, Daben Liu, Sai Praneeth Karimireddy

CoRR, October, 2025

Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation.

Ashwath Vaithinathan Aravindan, Abha Jha, Matthew Salaway, Atharva Sandeep Bhide, Duygu Nur Yaldiz

CoRR, August, 2025

Conformal Prediction Adaptive to Unknown Subpopulation Shifts.

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

CoRR, June, 2025

Backdoor Defense in Diffusion Models via Spatial Attention Unlearning.

Abha Jha, Ashwath Vaithinathan Aravindan, Matthew Salaway, Atharva Sandeep Bhide, Duygu Nur Yaldiz

CoRR, April, 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

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

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 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

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

Secure Federated Learning against Model Poisoning Attacks via Client Filtering.

Duygu Nur Yaldiz, Tuo Zhang, Salman Avestimehr

CoRR, 2023