Tobias Leemann @t_leemann
PhD Student in Explainable, Private and Reliable ML | @uni_tue @TU_Muenchen Munich, Germany Joined October 2021-
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Auto-GDA: Automatic Domain Adaptation for Efficient Grounding Verification in Retrieval Augmented Generation Presents a framework for unsupervised domain adaptation of lightweight NLI models used in RAG systems. 📝arxiv.org/abs/2410.03461
Happy to be on the list! ☺️
[LG] Attention Mechanisms Don't Learn Additive Models: Rethinking Feature Importance for Transformers arxiv.org/abs/2405.13536 - Common transformer architectures like BERT and GPT-2 structurally cannot represent additive models like linear models or generalized additive…
🚨 Exciting #PhD opportunities in #DataScience and #ResponsibleAI @TU_Muenchen @MdsiTum 🎓 Passionate about research in responsible AI and Data Science? Join our talented team for groundbreaking research and innovation #GenerativeAI #LLMs #AIRegulation portal.mytum.de/jobs/wissensch…
I am very happy to celebrate my PhD defense. I want to take this opportunity to share my unique path through my PhD and share a small conclusion.
📢 Please RT!📢 We're hiring postdoctoral researchers to work on responsible machine learning at UCSD! Topics include fairness, explainability, robustness, and safety. For more, see berkustun.com/postdoc/

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