output
20182026
most citedThe Data Science of Hollywood: Using Emotional Arcs of Movies to Drive Business Model Innovation in Entertainment Industries

50 citations

13 papers

astro-ph.IM2026

Charge Migration and Residual Non-Linearity in NIRSpec BOTS Observations

Munazza K. Alam, Leonardo Ubeda, Qinyan +3

We investigate the effect of charge migration and residual non-linearity on the JWST/NIRSpec G395H NRS1 and NRS2 detectors using Bright Object Time Series (BOTS) observations of th…

cs.RO2025★ 4 cited

Primal-Dual iLQR for GPU-Accelerated Learning and Control in Legged Robots

Lorenzo Amatucci, João Sousa-Pinto, Giulio Turrisi +3

This paper introduces a novel Model Predictive Control (MPC) implementation for legged robot locomotion that leverages GPU parallelization. Our approach enables both temporal and s…

cs.CL2025★ 1 cited

Revisiting Uncertainty Quantification Evaluation in Language Models: Spurious Interactions with Response Length Bias Results

Andrea Santilli, Adam Golinski, Michael Kirchhof +5

Uncertainty Quantification (UQ) in Language Models (LMs) is key to improving their safety and reliability. Evaluations often use metrics like AUROC to assess how well UQ methods (e…

cs.CL2024★ 1 cited

Towards a World-English Language Model for On-Device Virtual Assistants

Rricha Jalota, Lyan Verwimp, Markus Nussbaum-Thom +3

Neural Network Language Models (NNLMs) for Virtual Assistants (VAs) are generally language-, region-, and in some cases, device-dependent, which increases the effort to scale and m…

cs.CL2024★ 8 cited

A Multimodal Approach to Device-Directed Speech Detection with Large Language Models

Dominik Wagner, Alexander Churchill, Siddharth Sigtia +4

Interactions with virtual assistants typically start with a predefined trigger phrase followed by the user command. To make interactions with the assistant more intuitive, we explo…

cs.LG2023

Streaming Anchor Loss: Augmenting Supervision with Temporal Significance

Utkarsh Oggy Sarawgi, John Berkowitz, Vineet Garg +5

Streaming neural network models for fast frame-wise responses to various speech and sensory signals are widely adopted on resource-constrained platforms. Hence, increasing the lear…