collaborators

5 papers

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.LG2026

When Does Routing Become Interpretable? Causal Probes on Block Attention Residuals

Aydin Javadov

Block Attention Residuals (Block AttnRes) by replace fixed additive residuals with a learned softmax over earlier depth-source representations, surfacing cross-layer routing as an…

cs.CL2026

Compose and Fuse: Revisiting the Foundational Bottlenecks in Multimodal Reasoning

Yucheng Wang, Yifan Hou, Aydin Javadov +2

Multimodal large language models (MLLMs) promise enhanced reasoning by integrating diverse inputs such as text, vision, and audio. Yet cross-modal reasoning remains underexplored,…

cs.HC2026

Pre-Clinical Latency Characterization of VRxBioRelax: A Real-Time EMG Biofeedback System for Muscle Relaxation in Virtual Reality

Melanie Baumgartner, Raphael Weibel, Tobias Hoesli +5

Chronic tension in the upper trapezius (UT), often caused by poor ergonomics, prolonged posture, or psychological stress, contributes to musculoskeletal discomfort, headaches, and…

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…