Author

Christian Bauckhage

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#artificial intelligence Preprint Sep 2026

Automated Regulatory Compliance Question Answering in Financial Services with Domain-Adapted Retrieval-Augmented Generation

This work studies whether a carefully domain-adapted retrieval-augmented generation pipeline closes the gap between compact and compact model quality in financial institutions under dense, frequently amended rulebooks.

Tobias Deußer, Abhishek Pillai, A. Bariviera et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Accuracy is Not Enough: A Divergence-Based Approach to Evaluate Fidelity Loss in Quantized LLMs

Deployment of Large Language Models (LLMs) on memory-constrained edge devices relies heavily on aggressive post-training quantization. However, evaluating these models is largely based on zero-shot task accuracy, which depends solely on argmax predictions and is insensitive to changes in the underlying predictive distr...

Shahzeb Qamar, L. Sparrenberg, Christian Bauckhage et al. · 0 citations