output
20002026
most citedHighly efficient light-emitting diodes based on intramolecular rotation

619 citations

280 papers

cs.HC2026

Posture Clip: Sit properly or I wont let you work

Arka Majhi, Aparajita Mondal

Poor posture is a significant concern due to its detrimental effects on health and productivity. This paper presents a collar-clipped device called PostureClip, designed to restric…

cs.AI2026

Unpacking Vibe Coding: Help-Seeking Processes in Student-AI Interactions While Programming

Daiana Rinja, Eduardo Araujo Oliveira, Sonsoles López-Pernas +3

Generative AI is reshaping higher education programming through vibe coding, where students collaborate with AI via natural language rather than writing code line-by-line. We conce…

cs.SE2026

AI-Assisted Code Review as a Scaffold for Code Quality and Self-Regulated Learning: An Experience Report

Eduardo Oliveira, Michael Fu, Patanamon Thongtanunam +2

Code review is central to software engineering education but hard to scale in capstone projects due to tight deadlines, uneven peer feedback, and limited prior experience. We inves…

cs.HC2026

Demonstrating SIMA-Play: A Serious Game for Forest Management Decision-Making through Board Game and Digital Simulation

Arka Majhi, Daniel Fernández Galeote, Timo Nummenmaa +4

Board games have shown promise as educational tools, but their use in engaging learners with the complex, long-term trade-offs of forest management remains strikingly underdevelope…

cs.CL2026

HUKUKBERT: Domain-Specific Language Model for Turkish Law

Mehmet Utku Öztürk, Tansu Türkoğlu, Buse Buz-Yalug

Natural language processing (NLP) advances have powered a generation of LegalTech systems, but Turkish law remains under-served by domain-specific data and models. English has lega…

cs.LG2026★ 3 cited

Shortcut Learning in Binary Classifier Black Boxes: Applications to Voice Anti-Spoofing and Biometrics

Md Sahidullah, Hye-jin Shim, Rosa Gonzalez Hautamäki +1

The widespread adoption of deep-learning models in data-driven applications has drawn attention to the potential risks associated with biased datasets and models. Neglected or hidd…