Yuksekgonul, Mert

20 publications

ICML 2025 Dynamical Phases of Short-Term Memory Mechanisms in RNNs Bariscan Kurtkaya, Fatih Dinc, Mert Yuksekgonul, Marta Blanco-Pozo, Ege Cirakman, Mark Schnitzer, Yucel Yemez, Hidenori Tanaka, Peng Yuan, Nina Miolane
NeurIPS 2025 SiriuS: Self-Improving Multi-Agent Systems via Bootstrapped Reasoning Wanjia Zhao, Mert Yuksekgonul, Shirley Wu, James Zou
ICLRW 2025 SiriuS: Self-Improving Multi-Agent Systems via Bootstrapped Reasoning Wanjia Zhao, Mert Yuksekgonul, Shirley Wu, James Zou
NeurIPS 2025 metaTextGrad: Automatically Optimizing Language Model Optimizers Guowei Xu, Mert Yuksekgonul, Carlos Guestrin, James Zou
ICLR 2024 Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models Mert Yuksekgonul, Varun Chandrasekaran, Erik Jones, Suriya Gunasekar, Ranjita Naik, Hamid Palangi, Ece Kamar, Besmira Nushi
ICML 2024 How Well Can LLMs Negotiate? NegotiationArena Platform and Analysis Federico Bianchi, Patrick John Chia, Mert Yuksekgonul, Jacopo Tagliabue, Dan Jurafsky, James Zou
ICLR 2024 KITAB: Evaluating LLMs on Constraint Satisfaction for Information Retrieval Marah I Abdin, Suriya Gunasekar, Varun Chandrasekaran, Jerry Li, Mert Yuksekgonul, Rahee Ghosh Peshawaria, Ranjita Naik, Besmira Nushi
NeurIPSW 2024 metaTextGrad: Learning to Learn with Language Models as Optimizers Guowei Xu, Mert Yuksekgonul, Carlos Guestrin, James Zou
NeurIPS 2023 Beyond Confidence: Reliable Models Should Also Consider Atypicality Mert Yuksekgonul, Linjun Zhang, James Y Zou, Carlos Guestrin
ICMLW 2023 Beyond Confidence: Reliable Models Should Also Consider Atypicality Mert Yuksekgonul, Linjun Zhang, James Zou, Carlos Guestrin
ICLRW 2023 Beyond Confidence: Reliable Models Should Also Quantify Atypicality Mert Yuksekgonul, Linjun Zhang, James Zou, Carlos Guestrin
ICML 2023 Discover and Cure: Concept-Aware Mitigation of Spurious Correlation Shirley Wu, Mert Yuksekgonul, Linjun Zhang, James Zou
ICLRW 2023 GPT Detectors Are Biased Against Non-Native English Writers Weixin Liang, Mert Yuksekgonul, Yining Mao, Eric Wu, James Zou
TMLR 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 Re, Diana Acosta-Navas, Drew A. Hudson, Eric Zelikman, Esin Durmus, Faisal Ladhak, Frieda Rong, Hongyu Ren, Huaxiu Yao, Jue Wang, Keshav Santhanam, Laurel Orr, Lucia Zheng, Mert Yuksekgonul, Mirac Suzgun, Nathan Kim, Neel Guha, Niladri S. Chatterji, Omar Khattab, Peter Henderson, Qian Huang, Ryan Andrew 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
ICLR 2023 Post-Hoc Concept Bottleneck Models Mert Yuksekgonul, Maggie Wang, James Zou
ICLR 2023 When and Why Vision-Language Models Behave like Bags-of-Words, and What to Do About It? Mert Yuksekgonul, Federico Bianchi, Pratyusha Kalluri, Dan Jurafsky, James Zou
ICML 2022 Meaningfully Debugging Model Mistakes Using Conceptual Counterfactual Explanations Abubakar Abid, Mert Yuksekgonul, James Zou
ICLRW 2022 Post-Hoc Concept Bottleneck Models Mert Yuksekgonul, Maggie Wang, James Zou
NeurIPS 2022 SkinCon: A Skin Disease Dataset Densely Annotated by Domain Experts for Fine-Grained Debugging and Analysis Roxana Daneshjou, Mert Yuksekgonul, Zhuo Ran Cai, Roberto Novoa, James Y Zou
WACV 2021 Pretraining Boosts Out-of-Domain Robustness for Pose Estimation Alexander Mathis, Thomas Biasi, Steffen Schneider, Mert Yuksekgonul, Byron Rogers, Matthias Bethge, Mackenzie W. Mathis