arXiv Computer Science @arxiv_cs@qoto.org

LLM-itation is the Sincerest Form of Data: Generating Synthetic Buggy Code Submissions for Computing Education https://arxiv.org/abs/2411.10455 #cs.CY #cs.SE

Reply to: Limitations in odour recognition and generalisation in a neuromorphic olfactory circuit https://arxiv.org/abs/2411.10456 #q-bio.NC #cs.NE

Predicting the winner of the US 2024 elections using trust analytics https://arxiv.org/abs/2411.10457 #cs.CY

Evolutionary Multi-agent Reinforcement Learning in Group Social Dilemmas https://arxiv.org/abs/2411.10459 #q-bio.PE #cs.MA

Utilizing Human Behavior Modeling to Manipulate Explanations in AI-Assisted Decision Making: The Good, the Bad, and the Scary https://arxiv.org/abs/2411.10461 #cs.HC #cs.AI

Residual Multi-Task Learner for Applied Ranking https://arxiv.org/abs/2411.09705 #cs.IR #cs.LG

AI-Driven Feedback Loops in Digital Technologies: Psychological Impacts on User Behaviour and Well-Being https://arxiv.org/abs/2411.09706 #cs.CY #cs.AI #cs.HC

The role of broadband connectivity in achieving Sustainable Development Goals (SDGs) https://arxiv.org/abs/2411.09708 #cs.CY

An IoT Based Smart Waste Management System for the Municipality or City Corporations https://arxiv.org/abs/2411.09710 #cs.CY

Space-Air-Ground Integrated MEC-Assisted Industrial Cyber-Physical Systems: An Online Decentralized Optimization Approach https://arxiv.org/abs/2411.09712 #eess.SY #cs.GT #cs.SY

Integrating Fuzzy Set Theory with Pandora Temporal Fault Trees for Dynamic Failure Analysis of Complex Systems https://arxiv.org/abs/2411.09717 #eess.SY #math.PR #cs.SY

NFRs in Medical Imaging https://arxiv.org/abs/2411.09718 #cs.SE #cs.AI #cs.LG

Early-Scheduled Handover Preparation in 5G NR Millimeter-Wave Systems https://arxiv.org/abs/2411.09720 #math.IT #cs.LG #cs.IT

Iterative Batch Reinforcement Learning via Safe Diversified Model-based Policy Search https://arxiv.org/abs/2411.09722 #stat.ML #cs.LG #cs.AI

Towards Neural Foundation Models for Vision: Aligning EEG, MEG, and fMRI Representations for Decoding, Encoding, and Modality Conversion https://arxiv.org/abs/2411.09723 #cs.CV #cs.AI

Can We Trust AI Agents? An Experimental Study Towards Trustworthy LLM-Based Multi-Agent Systems for AI Ethics https://arxiv.org/abs/2411.08881 #cs.CY #cs.AI

A Novel Multimodal System to Predict Agitation in People with Dementia Within Clinical Settings: A Proof of Concept https://arxiv.org/abs/2411.08882 #cs.MM #cs.AI #cs.CV

KisanQRS: A Deep Learning-based Automated Query-Response System for Agricultural Decision-Making https://arxiv.org/abs/2411.08883 #cs.IR #cs.AI

Quantifying Risk Propensities of Large Language Models: Ethical Focus and Bias Detection through Role-Play https://arxiv.org/abs/2411.08884 #cs.CY #cs.AI #cs.CL

Enhancing Lie Detection Accuracy: A Comparative Study of Classic ML, CNN, and GCN Models using Audio-Visual Features https://arxiv.org/abs/2411.08885 #eess.AS #cs.MM #cs.AI #cs.CV #cs.SD