Mert Yüksekgönül

Orcid: 0000-0002-9761-8178

According to our database1, Mert Yüksekgönül authored at least 18 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
How Well Can LLMs Negotiate? NegotiationArena Platform and Analysis.
CoRR, 2024

2023
GPT detectors are biased against non-native English writers.
Patterns, July, 2023

ChatGPT Exhibits Gender and Racial Biases in Acute Coronary Syndrome Management.
CoRR, 2023

KITAB: Evaluating LLMs on Constraint Satisfaction for Information Retrieval.
CoRR, 2023

Diversity of Thought Improves Reasoning Abilities of Large Language Models.
CoRR, 2023

Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models.
CoRR, 2023

SkinCon: A skin disease dataset densely annotated by domain experts for fine-grained model debugging and analysis.
CoRR, 2023

Beyond Confidence: Reliable Models Should Also Consider Atypicality.
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.
Proceedings of the International Conference on Machine Learning, 2023

Post-hoc Concept Bottleneck Models.
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?
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Holistic Evaluation of Language Models.
CoRR, 2022

SkinCon: A skin disease dataset densely annotated by domain experts for fine-grained debugging and analysis.
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.
Proceedings of the International Conference on Machine Learning, 2022

2021
Learning prototypes for multiple instance learning.
Turkish J. Electr. Eng. Comput. Sci., 2021

Pretraining boosts out-of-domain robustness for pose estimation.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

2019
Learning Maximally Predictive Prototypes in Multiple Instance Learning.
CoRR, 2019

Pretraining boosts out-of-domain robustness for pose estimation.
CoRR, 2019


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