A No-Code Platform for Tie Prediction Analysis in Social Media Networks. - Sebastian Schötteler; Sven Laumer; Heidi Schuhbauer; Niklas Scheidthauer; Philipp Seeberger; Benedikt Miethsam (Wirtschaftsinformatik, 2021)

Combining Deep Neural Reranking and Unsupervised Extraction for Multi-Query Focused Summarization. - Philipp Seeberger; Korbinian Riedhammer (TREC, 2022)

Enhancing Crisis-Related Tweet Classification with Entity-Masked Language Modeling and Multi-Task Learning. - Philipp Seeberger; Korbinian Riedhammer (CoRR, 2022)

Information Type Classification with Contrastive Task-Specialized Sentence Encoders. - Philipp Seeberger; Tobias Bocklet; Korbinian Riedhammer (KONVENS, 2023)

Multi-Query Focused Disaster Summarization via Instruction-Based Prompting. - Philipp Seeberger; Korbinian Riedhammer (TREC, 2023)

Optimized Speculative Sampling for GPU Hardware Accelerators. - Dominik Wagner 002; Seanie Lee; Ilja Baumann; Philipp Seeberger; Korbinian Riedhammer; Tobias Bocklet (EMNLP, 2024)

MMUTF: Multimodal Multimedia Event Argument Extraction with Unified Template Filling. - Philipp Seeberger; Dominik Wagner 002; Korbinian Riedhammer (EMNLP (Findings), 2024)

A dataset of Open Source Intelligence (OSINT) Tweets about the Russo-Ukrainian war. - Johannes Niu; Mila Stillman; Philipp Seeberger; Anna M. Kruspe (CoRR, 2024)