Mert Yüksekgönül

According to our database, Mert Yüksekgönül authored at least 26 papers between 2019 and 2025.

Collaborative distances:

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

2025

metaTextGrad: Automatically optimizing language model optimizers.

Guowei Xu, Mert Yüksekgönül, Carlos Guestrin, James Y. Zou

CoRR, May, 2025

Cost-of-Pass: An Economic Framework for Evaluating Language Models.

Mehmet Hamza Erol, Batu El, Mirac Suzgun, Mert Yüksekgönül, James Zou

CoRR, April, 2025

Can LLM feedback enhance review quality? A randomized study of 20K reviews at ICLR 2025.

Nitya Thakkar, Mert Yüksekgönül, Jake Silberg, Animesh Garg, Nanyun Peng, Fei Sha, Rose Yu, Carl Vondrick, James Zou

CoRR, April, 2025

Dynamic Cheatsheet: Test-Time Learning with Adaptive Memory.

Mirac Suzgun, Mert Yüksekgönül, Federico Bianchi, Dan Jurafsky, James Zou

CoRR, April, 2025

Optimizing generative AI by backpropagating language model feedback.

Mert Yüksekgönül, Federico Bianchi, Joseph Boen, Sheng Liu, Pan Lu, Zhi Huang, Carlos Guestrin, James Zou

Nat., March, 2025

SiriuS: Self-improving Multi-agent Systems via Bootstrapped Reasoning.

Wanjia Zhao, Mert Yüksekgönül, Shirley Wu, James Zou

CoRR, February, 2025

A ghost mechanism: An analytical model of abrupt learning.

Fatih Dinc, Ege Çirakman, Yiqi Jiang, Mert Yüksekgönül, Mark J. Schnitzer, Hidenori Tanaka

CoRR, January, 2025

2024

TextGrad: Automatic "Differentiation" via Text.

Mert Yüksekgönül, Federico Bianchi, Joseph Boen, Sheng Liu, Zhi Huang, Carlos Guestrin, James Zou

CoRR, 2024

How Well Can LLMs Negotiate? NegotiationArena Platform and Analysis.

Federico Bianchi, Patrick John Chia, Mert Yüksekgönül, Jacopo Tagliabue, Dan Jurafsky, James Zou

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models.

Mert Yüksekgönül, Varun Chandrasekaran, Erik Jones, Suriya Gunasekar, Ranjita Naik, Hamid Palangi, Ece Kamar, Besmira Nushi

Proceedings of the Twelfth International Conference on Learning Representations, 2024

KITAB: Evaluating LLMs on Constraint Satisfaction for Information Retrieval.

Marah I Abdin, Suriya Gunasekar, Varun Chandrasekaran, Jerry Li, Mert Yüksekgönül, Rahee Ghosh Peshawaria, Ranjita Naik, Besmira Nushi

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

GPT detectors are biased against non-native English writers.

Weixin Liang, Mert Yüksekgönül, Yining Mao, Eric Wu, James Zou

Patterns, July, 2023

Holistic Evaluation of Language Models.

Percy Liang, Rishi Bommasani, Tony Lee, Dimitris Tsipras, Dilara Soylu, Michihiro Yasunaga, Yian Zhang, Deepak Narayanan, Yuhuai Wu, Ananya Kumar, Benjamin Newman, Binhang Yuan, Bobby Yan, Ce Zhang, Christian Cosgrove, Christopher D. Manning, Christopher Ré, Diana Acosta-Navas, Drew A. Hudson, Eric Zelikman, Esin Durmus, Faisal Ladhak, Frieda Rong, Hongyu Ren, Huaxiu Yao, Jue Wang, Keshav Santhanam, Laurel J. Orr, Lucia Zheng, Mert Yüksekgönül, Mirac Suzgun, Nathan Kim, Neel Guha, Niladri S. Chatterji, Omar Khattab, Peter Henderson, Qian Huang, Ryan Chi, Sang Michael Xie, Shibani Santurkar, Surya Ganguli, Tatsunori Hashimoto, Thomas Icard, Tianyi Zhang, Vishrav Chaudhary, William Wang, Xuechen Li, Yifan Mai, Yuhui Zhang, Yuta Koreeda

Trans. Mach. Learn. Res., 2023

ChatGPT Exhibits Gender and Racial Biases in Acute Coronary Syndrome Management.

Angela Zhang, Mert Yüksekgönül, Joshua Guild, James Zou, Joseph C. Wu

CoRR, 2023

Diversity of Thought Improves Reasoning Abilities of Large Language Models.

Ranjita Naik, Varun Chandrasekaran, Mert Yüksekgönül, Hamid Palangi, Besmira Nushi

CoRR, 2023

SkinCon: A skin disease dataset densely annotated by domain experts for fine-grained model debugging and analysis.

Roxana Daneshjou, Mert Yüksekgönül, Zhuo Ran Cai, Roberto A. Novoa, James Zou

CoRR, 2023

Beyond Confidence: Reliable Models Should Also Consider Atypicality.

Mert Yüksekgönül, Linjun Zhang, James Y. Zou, Carlos Guestrin

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Discover and Cure: Concept-aware Mitigation of Spurious Correlation.

Shirley Wu, Mert Yüksekgönül, Linjun Zhang, James Zou

Proceedings of the International Conference on Machine Learning, 2023

Post-hoc Concept Bottleneck Models.

Mert Yüksekgönül, Maggie Wang, James Zou

Proceedings of the Eleventh International Conference on Learning Representations, 2023

When and Why Vision-Language Models Behave like Bags-Of-Words, and What to Do About It?

Mert Yüksekgönül, Federico Bianchi, Pratyusha Kalluri, Dan Jurafsky, James Zou

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

SkinCon: A skin disease dataset densely annotated by domain experts for fine-grained debugging and analysis.

Roxana Daneshjou, Mert Yüksekgönül, Zhuo Ran Cai, Roberto A. Novoa, James Y. Zou

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Meaningfully debugging model mistakes using conceptual counterfactual explanations.

Abubakar Abid, Mert Yüksekgönül, James Zou

Proceedings of the International Conference on Machine Learning, 2022

2021

Learning prototypes for multiple instance learning.

Özgür Emre Sivrikaya, Mert Yüksekgönül, Mustafa Gökçe Baydogan

Turkish J. Electr. Eng. Comput. Sci., 2021

Pretraining boosts out-of-domain robustness for pose estimation.

Alexander Mathis, Thomas Biasi, Steffen Schneider, Mert Yüksekgönül, Byron Rogers, Matthias Bethge, Mackenzie W. Mathis

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

2019

Learning Maximally Predictive Prototypes in Multiple Instance Learning.

Mert Yüksekgönül, Özgür Emre Sivrikaya, Mustafa Gökçe Baydogan

CoRR, 2019

Pretraining boosts out-of-domain robustness for pose estimation.

Alexander Mathis, Mert Yüksekgönül, Byron Rogers, Matthias Bethge, Mackenzie W. Mathis

CoRR, 2019