Expertini Research Research

Browse Research Papers

957,942+ open-access research outputs.

โœ• Clear
๐Ÿ” user computer interface
Showing 957942 results for "user computer interface"
Computer Science Preprint PDF DOI

The Bandit's Blind Spot: The Critical Role of User State Representation in Recommender Systems

Pedro R. Pires, Gregorio F. Azevedo, Rafael T. Sereicikas, Pietro L. Campos, Tiago A. Almeida ยท 2026

With the increasing availability of online information, recommender systems have become an important tool for many web-based systems. Due to the continuous aspect of recommendation environments, theseโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Breaking Bad Financial Habits: How LLM Conversations Correct Financial Misconceptions

Jillian Ross, Eric So, Andrew W. Lo ยท 2026

Financial misconceptions carry direct economic costs, from panic selling to equity market avoidance, yet they are notoriously resistant to correction. Traditional financial literacy interventions are โ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

When to Retrieve During Reasoning: Adaptive Retrieval for Large Reasoning Models

Dongxin Guo, Jikun Wu, Siu Ming Yiu ยท 2026

Large reasoning models such as DeepSeek-R1 and OpenAI o1 generate extended chains of thought spanning thousands of tokens, yet their integration with retrieval-augmented generation (RAG) remains fundaโ€ฆ

Read Paper โ†’
Mathematics Preprint PDF DOI

Lagrangian reduction of symmetric discrete mechanical systems: a survey

Matias I. Caruso, Javier Fernandez, Cora Tori, Marcela Zuccalli ยท 2026

In this note we survey some of our results on the Lagrangian reduction of discrete-time mechanical systems (DMSs). It is intended as an introduction to the general ideas that we used in the reduction โ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

Turbulence and its Potential Impact on Solar Chromospheric and Coronal Heating

Gary P. Zank, Xiaocan Li, Krishna Khanal, Alphonse C. Sterling, Masaru Nakanotani, Linging Zhao, Laxman Adhikari, Yalim Mehmet, Subramania Athiray Panchapakesan, Fan Guo, Ronald L. Moore ยท 2026

Low-frequency turbulence in the solar chromosphere remains poorly understood. We address 1) the sources of low-frequency turbulence that potentially heat the chromosphere, and 2) how turbulence is traโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

ATLAS: An Annotation Tool for Long-horizon Robotic Action Segmentation

Sergej Stanovcic, Daniel Sliwowski, Dongheui Lee ยท 2026

Annotating long-horizon robotic demonstrations with precise temporal action boundaries is crucial for training and evaluating action segmentation and manipulation policy learning methods. Existing annโ€ฆ

Read Paper โ†’
Chemistry Preprint PDF DOI

Effect of reaction temperature on nascent carbonaceous particles from toluene shock-tube pyrolysis: Insights from FTIR and Raman spectroscopy

Meysam K. Rezaeian, Can Shao, Jurgen Herzler, Mustapha Fikri, Greg J. Smallwood, Christof Schulz ยท 2026

The transition from gaseous precursors to nascent solid particles and their subsequent structural maturation were investigated in single-pulse shock-tube experiments using ex situ Fourier-transform inโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

DMRlib: Easy-coding and Efficient Resource Management for Job Malleability

Sergio Iserte, Rafael Mayo, Enrique S. Quintana-Orti, Antonio J. Pena ยท 2026

Process malleability has proved to have a highly positive impact on the resource utilization and global productivity in data centers compared with the conventional static resource allocation policy. Hโ€ฆ

Read Paper โ†’
AI & Data Science Preprint PDF DOI

SnapPose3D: Diffusion-Based Single-Frame 2D-to-3D Lifting of Human Poses

Alessandro Simoni, Riccardo Catalini, Davide Di Nucci, Guido Borghi, Davide Davoli, Lorenzo Garattoni, Gianpiero Francesca, Yuki Kawana, Roberto Vezzani ยท 2026

Depth ambiguity and joint uncertainty are the two main obstacles in obtaining accurate human pose predictions by 2D-to-3D lifting methods proposed in the literature. In particular, these issues are caโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Impact of Attitude and Bounded Rationality on Collective Behavioral Transitions

Chen Song, Vladimir Cvetkovic, Angela Fontan, Rong Su, Karl H. Johansson ยท 2026

The theory of planned behavior (TPB) is one of the most influential frameworks in social psychology, stating that a person's behavior is driven by intention, which is primarily shaped by attitude, subโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

TDD Governance for Multi-Agent Code Generation via Prompt Engineering

Tarlan Hasanli, Shahbaz Siddeeq, Bishwash Khanal, Pyry Kotilainen, Tommi Mikkonen, Pekka Abrahamsson ยท 2026

Large language models (LLMs) accelerate software development but often exhibit instability, non-determinism, and weak adherence to development discipline in unconstrained workflows. While test-driven โ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

Probabilistic Condition, Decision and Path Coverage of Circuit-based Quantum Programs

Daniel Fortunato, Jose Campos, Rui Abreu ยท 2026

Coverage criteria play a central role in assessing test adequacy in classical software, yet their effectiveness for quantum programs remains poorly understood and largely unexplored. In this paper, weโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

36Cl Concentrations from Polar Ice Cores Set New Constraints on the Carrington Event

F. Mekhaldi, C. I. Paleari, A. M. Smith, A. Aldahan, J. Beer, M. Christl, C. Vockenhuber, H. Hayakawa, M. Curran, T. Erhardt, C. Plummer, K. Simon, K. Wilcken, M. Zheng, R. Muscheler ยท 2026

The Carrington event of 1859 CE is considered as one of the largest geomagnetic storms of the observational era, and often used as a benchmark for a worst-case scenario. Yet, there exists no robust evโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

The IACOB project: XVII. Nitrogen abundances in Galactic O-type stars: further hints for separating binary-interaction products from effectively single stars

C. Martinez-Sebastian, G. Holgado, S. Simon-Diaz, F. Martins, J. Puls ยท 2026

Context. Growing evidence is revealing the crucial role of binarity in massive star evolution. This affects evolution models and demands a refinement of the available observational constraints. Aims. โ€ฆ

Read Paper โ†’
AI & Data Science Preprint PDF DOI

Who Trains Matters: Federated Learning under Enrollment and Participation Selection Biases

Gota Morishita ยท 2026

Federated learning (FL) trains a shared model from updates contributed by distributed clients, often implicitly assuming that contributing clients are representative of the target population. In practโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

Effective length scales, dispersion relations, and discrete densities of states for Laplacian eigenvectors on complex networks

Per Arne Rikvold ยท 2026

To construct dispersion relations for diffusion or oscillation processes on random networks, it is necessary to obtain effective length scales for the eigenvectors of a graph Laplacian matrix, whose eโ€ฆ

Read Paper โ†’
AI & Data Science Preprint PDF DOI

FunFace: Feature Utility and Norm Estimation for Face Recognition

Ziga Babnik, Fadi Boutros, Naser Damer, Deepak Kumar Jain, Peter Peer, Vitomir Struc ยท 2026

Face Recognition (FR) is used in a variety of application domains, from entertainment and banking to security and surveillance. Such applications rely on the FR model to be robust and perform well in โ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Recommendations for Efficient and Responsible LLM Adoption within Industrial Software Development

Krishna Ronanki, Beatriz Cabrero-Daniel, Tomas Herda, Stefan Sitkovich, Jennifer Horkoff, Christian Berger ยท 2026

Context: Large language models (LLMs) are observed to have a significant positive impact on various software engineering (SE) activities. With improved accessibility, the adoption of powerful LLMs in โ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Sparse-on-Dense: Area and Energy-Efficient Computing of Sparse Neural Networks on Dense Matrix Multiplication Accelerators

Hyunsung Yoon, Sungju Ryu, Jae-Joon Kim ยท 2026

As the size of Deep Neural Networks (DNNs) increases dramatically to achieve high accuracy, the DNNs require a large amount of computations and memory footprint. Pruning, which produces a sparse neuraโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

Congestion-free routing on quantum chips

Mithilesh Kumar, Yusuf Tahir, Varun Daiya, Sanjana Mattaparthi, Aarav Shaurya ยท 2026

Limited connectivity makes nonlocal quantum gates expensive on near-neighbor hardware, where compilation typically relies on SWAP transport, inheriting both depth overhead and path congestion. We presโ€ฆ

Read Paper โ†’
โ† Prev Page 28 of 47898 Next โ†’