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cs.LG2026
NeuReasoner: Theory-grounded Mapping of Reasoning Elicitation Boundaries
Aydin Javadov, Shyngys Aitkazinov, Tobias Hoesli +3
A growing body of work suggests that the reasoning capabilities of large language models are largely latent in their base form, with post-training primarily amplifying rather than…
cs.LG2025
RAxSS: Retrieval-Augmented Sparse Sampling for Explainable Variable-Length Medical Time Series Classification
Aydin Javadov, Samir Garibov, Tobias Hoesli +4
Medical time series analysis is challenging due to data sparsity, noise, and highly variable recording lengths. Prior work has shown that stochastic sparse sampling effectively han…