Fine-Grained Relevance Annotations for Multi-Task Document Ranking and Question Answering. - Sebastian Hofstätter; Markus Zlabinger; Mete Sertkan; Michael Schröder 005; Allan Hanbury (CIKM, 2020)

Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation. - Sebastian Hofstätter; Sophia Althammer; Michael Schröder 005; Mete Sertkan; Allan Hanbury (CoRR, 2020)

Grammars for Free: Toward Grammar Inference for Ad Hoc Parsers. - Michael Schröder 005; Jürgen Cito (ICSE (NIER), 2022)

Discovering feature flag interdependencies in Microsoft office. - Michael Schröder 005; Katja Kevic; Dan Gopstein; Brendan Murphy; Jennifer Beckmann (ESEC/SIGSOFT FSE, 2022)

Grammar Inference for Ad Hoc Parsers. - Michael Schröder 005 (SPLASH Companion, 2022)

An empirical investigation of command-line customization. - Michael Schröder 005; Jürgen Cito (Empir. Softw. Eng., 2022)

Connecting the .dotfiles: Checked-In Secret Exposure with Extra (Lateral Movement) Steps. - Gerhard Jungwirth; Aakanksha Saha; Michael Schröder 005; Tobias Fiebig; Martina Lindorfer; Jürgen Cito (MSR, 2023)

An Exploratory Study of Ad Hoc Parsers in Python. - Michael Schröder 005; Marc Goritschnig; Jürgen Cito (CoRR, 2023)

Language-Agnostic Static Analysis of Probabilistic Programs. - Markus Böck; Michael Schröder 005; Jürgen Cito (ASE, 2024)