ETH Zurich at TREC Clinical Decision Support 2016. - Simon Greuter; Philip Junker; Lorenz Kuhn; Felix Mance; Virgile Mermet; Angela Rellstab; Carsten Eickhoff (TREC, 2016)

Implicit Negative Feedback in Clinical Information Retrieval. - Lorenz Kuhn; Carsten Eickhoff (CoRR, 2016)

Patient Risk Assessment and Warning Symptom Detection Using Deep Attention-Based Neural Networks. - Ivan Girardi; Pengfei Ji; An-phi Nguyen; Nora Hollenstein; Adam Ivankay; Lorenz Kuhn; Chiara Marchiori; Ce Zhang 001 (Louhi@EMNLP, 2018)

Efficient Smoothing of Dilated Convolutions for Image Segmentation. - Thomas Ziegler 004; Manuel Fritsche; Lorenz Kuhn; Konstantin Donhauser (CoRR, 2019)

Robustness to Pruning Predicts Generalization in Deep Neural Networks. - Lorenz Kuhn; Clare Lyle; Aidan N. Gomez; Jonas Rothfuss; Yarin Gal (CoRR, 2021)

CLAM: Selective Clarification for Ambiguous Questions with Large Language Models. - Lorenz Kuhn; Yarin Gal; Sebastian Farquhar (CoRR, 2022)

Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation. - Lorenz Kuhn; Yarin Gal; Sebastian Farquhar (ICLR, 2023)

Detecting hallucinations in large language models using semantic entropy. - Sebastian Farquhar; Jannik Kossen; Lorenz Kuhn; Yarin Gal (Nat., 2024)

Competitive Programming with Large Reasoning Models. - Ahmed El-Kishky; Alexander Wei; Andre Saraiva 001; Borys Minaiev; Daniel Selsam; David Dohan; Francis Song; Hunter Lightman; Ignasi Clavera Gilaberte; Jakub Pachocki; Jerry Tworek; Lorenz Kuhn; et al. (CoRR, 2025)