Tom Sühr

According to our database, Tom Sühr authored at least 11 papers between 2019 and 2025.

Collaborative distances:

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

2025

Stop Evaluating AI with Human Tests, Develop Principled, AI-specific Tests instead.

Tom Sühr, Florian E. Dorner, Olawale Salaudeen, Augustin Kelava, Samira Samadi

CoRR, July, 2025

Challenging the Validity of Personality Tests for Large Language Models.

Tom Sühr, Florian E. Dorner, Samira Samadi, Augustin Kelava

Proceedings of the 5th ACM Conference on Equity and Access in Algorithms, 2025

2024

Online Decision Deferral under Budget Constraints.

Mirabel Reid, Tom Sühr, Claire Vernade, Samira Samadi

CoRR, 2024

A Dynamic Model of Performative Human-ML Collaboration: Theory and Empirical Evidence.

Tom Sühr, Samira Samadi, Chiara Farronato

CoRR, 2024

2023

Do personality tests generalize to Large Language Models?

Florian E. Dorner, Tom Sühr, Samira Samadi, Augustin Kelava

CoRR, 2023

2022

Fair Top-<i>k</i> Ranking with multiple protected groups.

Meike Zehlike, Tom Sühr, Ricardo Baeza-Yates, Francesco Bonchi, Carlos Castillo, Sara Hajian

Inf. Process. Manag., 2022

2021

Image-Text Rematching for News Items using Optimized Embeddings and CNNs in MediaEval NewsImages 2021.

Tom Sühr, Ajay Madhavanr, Nasim Jamshidi Avanaki, René Berk, Andreas Lommatzsch

Proceedings of the Working Notes Proceedings of the MediaEval 2021 Workshop, 2021

Does Fair Ranking Improve Minority Outcomes? Understanding the Interplay of Human and Algorithmic Biases in Online Hiring.

Tom Sühr, Sophie Hilgard, Himabindu Lakkaraju

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020

A Note on the Significance Adjustment for FA*IR with Two Protected Groups.

Meike Zehlike, Tom Sühr, Carlos Castillo

CoRR, 2020

FairSearch: A Tool For Fairness in Ranked Search Results.

Meike Zehlike, Tom Sühr, Carlos Castillo, Ivan Kitanovski

Proceedings of the Companion of The 2020 Web Conference 2020, 2020

2019

Two-Sided Fairness for Repeated Matchings in Two-Sided Markets: A Case Study of a Ride-Hailing Platform.

Tom Sühr, Asia J. Biega, Meike Zehlike, Krishna P. Gummadi, Abhijnan Chakraborty

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019