💻 Category

cs

2982 papers

💻 computer science

High-Performance FP16 General Matrix Multiplication on NVIDIA Ada Lovelace via CUTLASS and WMMA: A Benchmark and Pipeline-Depth Analysis

This paper benchmarks FP16 GEMM performance on NVIDIA's Ada Lovelace RTX 4060 across cuBLAS, CUTLASS, and custom WMMA implementations, revealing that a pipeline depth of three with specific tile geometry achieves 52.7% of peak throughput while demonstrating that shared-memory pressure, rather than pipeline depth, is the primary bottleneck limiting further optimization.

Lucas Lima Freitag2026-07-15
💻 computer science

Agentic AI for Code Quality: A Four-Agent Machine Learning System for Repository Refactoring, Public RAG, Groq Reasoning, and Reinforcement Learning

This paper presents a multi-agent AI framework that integrates rule-based analysis, public RAG, Groq-powered LLM reasoning, and Q-learning reinforcement learning to autonomously detect, refactor, and validate code quality improvements in software repositories, achieving significant reductions in technical debt while preserving functional correctness.

Abhishek Prithvi Tejs2026-07-15
💻 computer science

Exploring Simulated Morphic Fields for Sustainable Multi-Agent Learning and Education

This paper proposes a "simulated morphic field"—a computational metaphor for a persistent shared-memory layer—to enhance the efficiency and sustainability of multi-agent robotic learning while simultaneously serving as a pedagogical tool for teaching collective intelligence and systems thinking in engineering education.

José Augusto de Lima Prestes, Paulo Victor de Oliveira Miguel, Gilmar Barreto2026-07-15
💻 computer science

An AI-Driven Multimodal Emotion-Aware Application Based on IFS Therapy

This paper presents ANA, an AI-driven multimodal application that integrates text, speech, and video analysis with Internal Family Systems (IFS) therapy principles to accurately recognize users' emotional states and internal psychological parts, achieving high performance across modalities to enable richer, embodied mental health interactions.

Mariam Elbishbeashy, Laura Lucas, Aya Hisham, Mohamed Ihab, Esraa A. Afify2026-07-15
💻 computer science

Examining hate speech infection in social media using range constraints in multidimensional data structures

This paper proposes a methodology that combines shapelet-based time series analysis with multidimensional data structures and range constraints to precisely identify the temporal windows and user connectivity patterns driving hate speech propagation on social media, thereby enabling more effective event detection and mitigation.

Eleanna Kafeza, Christos Makris, Gerasimos Rompolas, Georgios Mavris2026-07-15
💻 computer science

Stress Detection in Digital Assessment Environments: A Multimodal Wearable Analysis by Language Background

This study utilizes multimodal wearable data and machine learning to demonstrate significant stress differences between English Learners and English Speakers during digital assessments, achieving high detection accuracy and identifying key predictive features to inform the design of more supportive, human-centered educational technologies.

Farina Faiz, Jung Yeon Park, Vivian Genaro Motti, Sujin Kim2026-07-15
💻 computer science

Tangent Subspace Boundary Attack: A Query-Efficient Decision-Based Black-BoxAdversarial Attack

This paper proposes the Tangent Subspace Boundary Attack (TSBA), a query-efficient decision-based black-box adversarial attack that improves upon existing methods by constraining perturbation updates within a low-dimensional tangent subspace of the decision boundary to stabilize the search process and significantly reduce query complexity while maintaining competitive distortion levels.

Liming Fan, ANIS SALWA MOHD KHAIRUDDIN, HAICHUAN LIU, QIYUAN QIN, KHAIRUNNISA BINTI HASIKIN, CHEE SENG CHAN2026-07-15
💻 computer science

Spectral bias mitigation in physics-informed neural surrogates for nonlinear structural dynamics: Fourier feature encoding versus Kolmogorov-Arnold representations

This study demonstrates that while Kolmogorov–Arnold Networks (KANs) inherently mitigate spectral bias better than standard MLPs in nonlinear structural dynamics, the application of Fourier feature encoding is the dominant factor for accuracy, making Fourier-enhanced MLPs superior to both plain KANs and Fourier-enhanced KANs, which suffer performance degradation due to gradient oscillations incompatible with physics-informed optimization.

Salih Berkan Aydemir2026-07-15
💻 computer science

IRA: An Interpretable Hybrid Chatbot for Emotion-Aware Intent Classification with Generative Response Fallback

This paper introduces IRA, a hybrid conversational framework that combines an interpretable MLP intent classifier trained on a code-mixed corpus with a generative fallback mode to achieve high accuracy and transparency in emotion-aware dialogue for mental-health and support applications, noting that duplication-based oversampling does not introduce lexical variation.

Nilima Dongre, Amey Kulkarni2026-07-15