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Kevin Innerebner

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#graph neural networks Book Open access Nov 2026

Neuro-symbolic Recommender Systems

Recommender systems are a fundamental component of modern digital platforms, guiding how users discover information, products, services, and media content. Recent advances in deep learning have substantially improved recommendation performance. However, state-of-the-art approaches rely on black-box models whose limited...

Kevin Innerebner · 0 citations
#reinforcement learning Book Open access Nov 2026

Adapting Code LLMs to Domain-specific Languages via Synthethic Instruction Generation and Reinforcement Learning with AI Feedback in Low-resource Settings

Large Language Models (LLMs) have significantly advanced automatic code generation in mainstream, high-resource, general-purpose programming languages. These models are trained on large instruction-code datasets with executable test environments, which can benchmark the performance of the outputs. However, they typical...

Vedad Misirlic, Kevin Innerebner, Gerald Stieglbauer et al. · 0 citations

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