Tootfinder

Enhancing grasping ability with vibrational guidance for individuals who are blind or partially sighted https://www.nature.com/articles/s41598-025-21720-0 "Tactile sensory substitution, like auditory substitution, effectively compensates for lost vision by engaging cross-modal r…

Enhancing grasping ability with vibrational guidance for individuals who are blind or partially sighted - Scientific Reports
This study investigates the effectiveness of a vibrotactile bracelet in supporting goal-directed hand movements and grasping tasks for visually conditioned individuals. The research addresses the challenge of object manipulation without visual feedback, comparing tactile to auditory cues. The primary research question explores whether vibrotactile signals delivered via a wrist-worn device can accurately guide hand movements and improve grasping precision. Forty-one participants with varying deg…

On the Optimality of Tracking Fisher Information in Adaptive Testing with Stochastic Binary Responses
Sanghwa Kim (KAIST), Dohyun Ahn (The Chinese University of Hong Kong), Seungki Min (Seoul National University)
https://arxiv.org/abs/2510.07862

On the Optimality of Tracking Fisher Information in Adaptive Testing with Stochastic Binary Responses
We study the problem of estimating a continuous ability parameter from sequential binary responses by actively asking questions with varying difficulties, a setting that arises naturally in adaptive testing and online preference learning. Our goal is to certify that the estimate lies within a desired margin of error, using as few queries as possible. We propose a simple algorithm that adaptively selects questions to maximize Fisher information and updates the estimate using a method-of-moments …

Reinforce-Ada: An Adaptive Sampling Framework for Reinforce-Style LLM Training
Wei Xiong, Chenlu Ye, Baohao Liao, Hanze Dong, Xinxing Xu, Christof Monz, Jiang Bian, Nan Jiang, Tong Zhang
https://arxiv.org/abs/2510.04996

Reinforce-Ada: An Adaptive Sampling Framework for Reinforce-Style LLM Training
Reinforcement learning applied to large language models (LLMs) for reasoning tasks is often bottlenecked by unstable gradient estimates due to fixed and uniform sampling of responses across prompts. Prior work such as GVM-RAFT addresses this by dynamically allocating inference budget per prompt to minimize stochastic gradient variance under a budget constraint. Inspired by this insight, we propose Reinforce-Ada, an adaptive sampling framework for online RL post-training of LLMs that continuousl…

The Feature Understandability Scale for Human-Centred Explainable AI: Assessing Tabular Feature Importance
Nicola Rossberg, Bennett Kleinberg, Barry O'Sullivan, Luca Longo, Andrea Visentin
https://arxiv.org/abs/2510.07050

The Feature Understandability Scale for Human-Centred Explainable AI: Assessing Tabular Feature Importance
As artificial intelligence becomes increasingly pervasive and powerful, the ability to audit AI-based systems is becoming increasingly important. However, explainability for artificial intelligence systems is not a one-size-fits-all solution; different target audiences have varying requirements and expectations for explanations. While various approaches to explainability have been proposed, most explainable artificial intelligence (XAI) methods for tabular data focus on explaining the outputs o…

Dynamic Experts Search: Enhancing Reasoning in Mixture-of-Experts LLMs at Test Time
Yixuan Han, Fan Ma, Ruijie Quan, Yi Yang
https://arxiv.org/abs/2509.22572 https://

Dynamic Experts Search: Enhancing Reasoning in Mixture-of-Experts LLMs at Test Time
Test-Time Scaling (TTS) enhances the reasoning ability of large language models (LLMs) by allocating additional computation during inference. However, existing approaches primarily rely on output-level sampling while overlooking the role of model architecture. In mainstream Mixture-of-Experts (MoE) LLMs, we observe that varying the number of activated experts yields complementary solution sets with stable accuracy, revealing a new and underexplored source of diversity. Motivated by this observa…

Hidden Actions and Hidden Information in Peer Review: A Dynamic Solution
Raphael Mu
https://arxiv.org/abs/2510.04906 https://arxiv.org/pdf/2510.04906

Hidden Actions and Hidden Information in Peer Review: A Dynamic Solution
We develop a simple model of the scientific peer review process, in which authors of varying ability invest to produce papers of varying quality, and journals evaluate papers based on a noisy signal, choosing to accept or reject each paper. We find that the first-best outcome is the limiting case as the evaluation technology is perfected, even though author type and effort are not known to the journal. Then, we consider the case where journals allow authors to challenge an initial rejection, an…

Composite Generalized Quadratic Noise Modulation via Signal Addition: Towards Higher Dimensional Noise Modulations
Hadi Zayyani, Mohammad Salman, Felipe A. P. de Figueiredo, Rausley A. A. de Souza
https://arxiv.org/abs/2510.01776

Composite Generalized Quadratic Noise Modulation via Signal Addition: Towards Higher Dimensional Noise Modulations
This letter proposes superposing two Generalized Quadratic Noise Modulators (GQNM) by simply adding their outputs. It creates a 16-ary noise modulator that resembles QAM modulators in classical communication. It modulates the information bits on four different means and four different variances. It could also be applied to reach higher-order modulations than 16-ary schemes by adding the outputs of more than two modulators, which is not discussed in detail in this letter and left for future work…

Evaluation of CZT Detector Performance in Alpha and Gamma Spectrometry
N. Kramarenko (Helsinki Institute of Physics, University of Helsinki), M. V\"a\"an\"anen (Helsinki Institute of Physics, University of Helsinki), M. Kalliokoski (Helsinki Institute of Physics, University of Helsinki), M. Bezak (Helsinki Institute of Physics, University of Helsinki), R. Turpeinen (Helsinki Institute of Physics, University of Helsinki), A. Winkler (Detection Technology Plc)

Evaluation of CZT Detector Performance in Alpha and Gamma Spectrometry
The present work reports on the performance studies of Cadmium Zinc Telluride (CZT) planar detector structures. To better understand the correlation between the physical properties and the electrical and spectroscopic behavior of the devices, we carried out current-voltage (IV) and capacitance-voltage (CV) measurements, in addition to gamma- and alpha-spectroscopy. For each tested sensor, spectroscopic responses were recorded under varying applied bias voltage. The described suite of measuremen…