A Generalized Language Model as the Combination of Skipped n-grams and Modified Kneser Ney Smoothing. - Rene Pickhardt; Thomas Gottron; Martin Körner; Paul Georg Wagner; Till Speicher; Steffen Staab (ACL (1), 2014)

Potential for Discrimination in Online Targeted Advertising. - Till Speicher; Muhammad Ali 014; Giridhari Venkatadri; Filipe Nunes Ribeiro; George Arvanitakis; Fabrício Benevenuto; Krishna P. Gummadi; Patrick Loiseau; Alan Mislove (FAT, 2018)

A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual &Group Unfairness via Inequality Indices. - Till Speicher; Hoda Heidari; Nina Grgic-Hlaca; Krishna P. Gummadi; Adish Singla; Adrian Weller; Muhammad Bilal Zafar (KDD, 2018)

Unifying Model Explainability and Robustness via Machine-Checkable Concepts. - Vedant Nanda; Till Speicher; John P. Dickerson; Krishna P. Gummadi; Muhammad Bilal Zafar (CoRR, 2020)

Measuring Representational Robustness of Neural Networks Through Shared Invariances. - Vedant Nanda; Till Speicher; Camila Kolling; John P. Dickerson; Krishna P. Gummadi; Adrian Weller (ICML, 2022)

Diffused Redundancy in Pre-trained Representations. - Vedant Nanda; Till Speicher; John P. Dickerson; Krishna P. Gummadi; Soheil Feizi; Adrian Weller (NeurIPS, 2023)

Pointwise Representational Similarity. - Camila Kolling; Till Speicher; Vedant Nanda; Mariya Toneva; Krishna P. Gummadi (CoRR, 2023)

Towards Reliable Latent Knowledge Estimation in LLMs: In-Context Learning vs. Prompting Based Factual Knowledge Extraction. - Qinyuan Wu; Mohammad Aflah Khan; Soumi Das; Vedant Nanda; Bishwamittra Ghosh; Camila Kolling; Till Speicher; Laurent Bindschaedler; Krishna P. Gummadi; Evimaria Terzi (CoRR, 2024)

Understanding Memorisation in LLMs: Dynamics, Influencing Factors, and Implications. - Till Speicher; Mohammad Aflah Khan; Qinyuan Wu; Vedant Nanda; Soumi Das; Bishwamittra Ghosh; Krishna P. Gummadi; Evimaria Terzi (CoRR, 2024)

Understanding the Role of Invariance in Transfer Learning. - Till Speicher; Vedant Nanda; Krishna P. Gummadi (Trans. Mach. Learn. Res., 2024)

Towards Reliable Latent Knowledge Estimation in LLMs: Zero-Prompt Many-Shot Based Factual Knowledge Extraction. - Qinyuan Wu; Mohammad Aflah Khan; Soumi Das; Vedant Nanda; Bishwamittra Ghosh; Camila Kolling; Till Speicher; Laurent Bindschaedler; Krishna P. Gummadi; Evimaria Terzi (WSDM, 2025)

Investigating the Effects of Fairness Interventions Using Pointwise Representational Similarity. - Camila Kolling; Till Speicher; Vedant Nanda; Mariya Toneva; Krishna P. Gummadi (Trans. Mach. Learn. Res., 2025)

Revisiting Privacy, Utility, and Efficiency Trade-offs when Fine-Tuning Large Language Models. - Soumi Das; Camila Kolling; Mohammad Aflah Khan; Mahsa Amani; Bishwamittra Ghosh; Qinyuan Wu; Till Speicher; Krishna P. Gummadi (CoRR, 2025)