2 citations · 2 across the 2 of their papers we have counts for
3 papers
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…
EventChat: Implementation and user-centric evaluation of a large language model-driven conversational recommender system for exploring leisure events in an SME context
Hannes Kunstmann, Joseph Ollier, Joel Persson +1
Large language models (LLMs) present an enormous evolution in the strategic potential of conversational recommender systems (CRS). Yet to date, research has predominantly focused u…
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…