Research group working the fields of Information Retrieval, Natural Language Processing, Data Mining, Machine Learning, and Artificial Intelligence.
Joined September 2019
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133 Photos and videos
27 Oct 2025
We just released "German Commons", the largest openly-licensed German text dataset for LLM training: 154B tokens with clear usage rights for research and commercial use. huggingface.co/datasets/cora…
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27 Oct 2025
The data spans 7 text domains:
🌐 Web: Wikis, GitHub, social media
💬 Political: Parliamentary proc., speeches
⚖️ Legal: Court decisions, law
📰 News: Newspaper archives
🏦 Economics: Public tenders
📚 Cultural: Heritage collections
🔬 Scientific: Papers, books, journals
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27 Oct 2025
For full technical details compliance Datasheet see our preprint @ arxiv.org/abs/2510.13996
As for German-specific models trained on this data... stay tuned 👀
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18 Jul 2025
Come join us at the poster session at ICTIR 2025 to discuss:
- Axioms for Retrieval-Augmented Generation webis.de/publications.html#m…
- Learning Effective Representations for Retrieval Using Self-Distillation with Adaptive Relevance Margins webis.de/publications.html#g…
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18 Jul 2025
Honored to win the ICTIR Best Paper Honorable Mention Award for "Axioms for Retrieval-Augmented Generation"!
Our new axioms are integrated with ir_axioms: github.com/webis-de/ir_axiom…
Nice to see axiomatic IR gaining momentum.
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18 Jul 2025
Congratulations to the authors @H1iReimer, @maik_froebe, @bennostein, @martinpotthast, @matthias_hagen from @UniJena, @bauhaus_uni, @uni_kassel, @Hessian_AI, @Sca_DS!
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18 Jul 2025
Thrilled to announce that @MattiWiegmann has successfully defended his PhD! 🎉🧑🎓 Huge congratulations on this incredible achievement!
#PhDDefense #AcademicMilestone
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16 Jul 2025
Happy to share that our paper "The Viability of Crowdsourcing for RAG Evaluation" received the Best Paper Honourable Mention at #SIGIR2025! Very grateful to the community for recognizing our work on improving RAG evaluation.
📄 webis.de/publications.html#g…
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16 Jul 2025
Congrats to the authors @LukasGienapp,
Tim Hagen, @maik_froebe, @matthias_hagen
@bennostein, @martinpotthast and @hscells
– from @uni_kassel, @Hessian_AI, @Sca_DS, @uni_tue, @UniJena & @bauhaus_uni
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Webis Group retweeted
27 Jun 2025
Do not forget to participate in the #TREC2025 Tip-of-the-Tongue (ToT) Track :)
The corpus and baselines (with run files) are now available and easily accessible via the ir_datasets API and the HuggingFace Datasets API.
More details are available at: trec-tot.github.io/guideline…
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22 Jun 2025
Our paper on self-distillation for training bi-encoders got accepted at #ICTIR2025! By exploiting pretrained encoder capabilities, our approach eliminates expensive teacher models and batch sampling while maintaining the same effectiveness.
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22 Jun 2025
Results on BEIR demonstrate that our method matches teacher distillation effectiveness, while using only 13.5% of the data and achieving 3-15x training speedup. This makes effective bi-encoder training more accessible, especially for low-resource settings.
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Credit & thanks to the author team @LukasGienapp @DeckersNiklas @martinpotthast @hscells
📄 Preprint: arxiv.org/abs/2407.21515
💻 Code: github.com/webis-de/adaptive…
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Webis Group retweeted
9 Apr 2025
Short: Rank-DistiLLM: Closing the Effectiveness Gap Between Cross-Encoders and LLMs for Passage Re-ranking webis.de/publications.html#s…
Full: Set-Encoder: Permutation-Invariant Inter-Passage Attention for Listwise Passage Re-Ranking with Cross-Encoders webis.de/publications.html#s…
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Webis Group retweeted
9 Apr 2025
What an honor to receive both the best short paper award and the best paper honourable mention award at #ECIR2025. Thank you to all the co-authors @maik_froebe @hscells @ShengyaoZhuang @bevan_koopman @guidozuc @bennostein @martinpotthast @matthias_hagen 🥳
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Webis Group retweeted
8 Apr 2025
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7 Apr 2025
📢 Our paper "The Viability of Crowdsourcing for RAG Evaluation" has been accepted to #SIGIR2025 ! We compared how good humans and LLMs are at writing and judging RAG responses, assembling 1800 responses across 3 styles, and 47K pairwise judgments in 7 quality dimensions. 🧵➡️
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7 Apr 2025
🧵 3/4 This fundamentally challenges previous assumptions about RAG evaluation and system design. But we also show how crowdsourcing offers a viable and scalable alternative! Check out the paper for more. 📝 Preprint @ downloads.webis.de/publicati…⚙️Code/Data is openly available.
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7 Apr 2025
🧵 4/4 Credit and thanks to the author team
@LukasGienapp, Tim Hagen, @maik_froebe,
@matthias_hagen, @bennostein,
@martinpotthast, and @hscells
– you can also catch some of them at #ECIR2025 currently if you want to chat about RAG!
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