Author

Tobias Schreieder

Observed name: Schreieder, Tobias

Institutions: Center for Scalable Data Analytics and Artificial Intelligence, Technische Universität Dresden

Observed institutions: Center for Scalable Data Analytics and Artificial Intelligence, Technische Universität Dresden, Leipzig University

ORCID: 0009-0000-8268-4204

Observed ORCID: 0009-0000-8268-4204

OpenAlex ID: A5092491054

SQuAI: Scientific Question-Answering with Multi-Agent Retrieval-Augmented Generation

2025 · Ines Besrour, Jingbo He, et al. · ACM International Conference on Information and Knowledge Management (CIKM) · 8

On Stance Detection in Image Retrieval for Argumentation

2023 · Miriam Louise Carnot, Lorenz Heinemann, et al. · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · 6

Slice it up: Unmasking User Identities in Smartwatch Health Data

2025 · Lucas Lange, Tobias Schreieder, et al. · ACM Asia Conference on Computer and Communications Security (ASIA CCS) · 3

Attribution, Citation, and Quotation: A Survey of Evidence-based Text Generation with Large Language Models

2026 · Tobias Schreieder, Tim Schopf, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 2

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Touché 2022 Best of Labs: Neural Image Retrieval for Argumentation

2023 · Tobias Schreieder, Jan Braker · Lecture notes in computer science · 2

Scientific Claim-Source Retrieval Revisited: A Comparative Study of Style Transfer and Re-ranking

2026 · Tobias Schreieder, Harsh Khandelwal, et al. · Lecture notes in computer science

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Claim2Source at CheckThat! 2026: Improving Multilingual Scientific Claim-Source Retrieval with Verification-based Re-Ranking

2026 · Schreieder, Tobias, Khandelwal, Harsh, et al. · arXiv (Cornell University)

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Attribution, Citation, and Quotation: A Survey of Evidence-based Text Generation with Large Language Models

2026 · Association for Computational Linguistics 2026, Färber, Michael, et al. · Underline Science Inc.

Think-Probe-Respond: Improving Large Language Models as Judges of Research Idea Novelty

2026 · Tim Schopf, Tobias Schreieder, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)

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Works count: 9

Citation count: 21

H-index: 3

I10-index: