Author

Philip Kolbe

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#artificial intelligence Preprint Sep 2026

Direct Message Approximation (DMA): A Consistency-Based Framework for Tractable Approximate Inference on Factor Graphs

Direct Message Approximation (DMA), which approximates factor-to-variable messages directly rather than the marginal, is introduced and a master theorem (proper messages, any graph) bounding marginal KL from message KL is proved, with three structural corollaries.

Ralf Herbrich, Rainer Schlösser, Jan Lemcke et al. · 1 citation

Preprint Sep 2026

Hatebench in the era of safer LLMs

A reproducibility study of the HateBench paper, investigating whether existing hate speech detectors, typically trained on human-authored data, generalize to LLM-generated hateful content, and evaluating whether their reported weaknesses are stable over time and robust to evolving components.

Ole Becker, Tobias Jongen, Philip Kolbe et al. · 0 citations