4 papers
From Answers to Interpretations: Rethinking Ambiguity-Induced Aleatoric Uncertainty Estimation in LLMs
Omer Nahum, Niv Nayman, Jonathan Fhima +4
A key challenge in reliable LLM deployment is recognizing when uncertainty reflects irreducible variability in the task rather than limitations in the model's knowledge. In languag…
Attention-Discounted Adaptive Sampler for Masked Diffusion Language Models
Yusuf Sahin, Ahmed Rockey Saikia, Volkan Cevher +1
Masked diffusion language models can reduce inference steps by revealing multiple tokens per denoising iteration, but this parallelism is fragile: positions that are individually c…
Composition of Memory Experts for Diffusion World Models
Sebastian Stapf, Pablo Acuaviva Huertos, Aram Davtyan +1
World models aim to predict plausible futures consistent with past observations, a capability central to planning and decision-making in reinforcement learning. Yet, existing archi…
Fast light-field 3D microscopy with out-of-distribution detection and adaptation through Conditional Normalizing Flows
Josué Page Vizcaíno, Panagiotis Symvoulidis, Zeguan Wang +4
Real-time 3D fluorescence microscopy is crucial for the spatiotemporal analysis of live organisms, such as neural activity monitoring. The eXtended field-of-view light field micros…