generative ai

Can Large Language Models Serve as Data Analysts? A Multi-Agent Assisted Approach for Qualitative Data Analysis

The proposed LLM-based multi-agent system automates qualitative data analysis process, creating opportunities for researchers and practitioners, and future improvements focus on enhancing multilingual performance and integrating continuous expert feedback.

Engineering a Governance-Aware AI Sandbox: Design, Implementation, and Lessons Learned

This work designs and operationalizes a governance-aware, multi-tenant AI sandbox that supports structured experimentation and produces reusable evaluation evidence across stakeholders and yields lessons learned and practical considerations that inform deployment and future evolution of governance-aware sandbox platfor...

TERE4AI: A Knowledge Graph-Based Tool for Generating EU AI Act Compliant Requirements

AI Sandbox: Technical Report

This work presents the design and implementation of a governance-aware, multi-tenant AI sandbox for structured experimentation and the generation of reusable evaluation evidence across projects and stakeholder groups.

Agentic Frameworks for Reasoning Tasks: An Empirical Study

This study provides the first large-scale empirical comparison of agentic frameworks for reasoning-intensive software engineering tasks and shows that framework selection should prioritize orchestration quality, especially memory control, failure handling, and cost management.

Autonomous Agents in Software Development: A Vision Paper

The vision is to leverage the capabilities of multiple GPT agents to contribute to SE tasks and to propose an initial road map for future work, arguing that multiple G PT agents can perform creative and demanding tasks far beyond coding and debugging.

Examining Privacy and Trust Issues at the Edge of Isomorphic IoT Architectures: Case Liquid AI

This research highlights the heightened threats to data integrity and stakeholder trust in these evolving ecosystems through an intensive examination of the literature, initiating a pioneering discourse emphasizing fostering a foundation for developing secure and trustworthy Liquid AI environments.

Carbon-Aware Governance Gates: An Architecture for Sustainable GenAI Development

Carbon-Aware Governance Gates (CAGG), an architectural extension that embeds carbon budgets, energy provenance, and sustainability-aware validation orchestration into human-AI governance layers, is proposed.

Detecting AI Impostors: How Do Middle Schoolers Identify LLM Agents in a Live Collaborative Setting?

It is found that students'detection accuracy improves over time, driven by a shift from relying on linguistic cues to leveraging shared social and contextual signals.

A-MADiff: Attention-Guided Multi-Agent DRL with Diffusion Policies for Memory-Aware Task Orchestration in Mobile AIGC Networks

A cooperative multi-agent orchestration framework, in which each edge node is equipped with a scheduling agent to route tasks to local ASPs or neighboring edge nodes, and an attention-guided centralized critic to estimate per-agent values from cross-agent states under GPU memory heterogeneity is proposed.

Deepfake NCII: A Rapidly Growing Crisis in American Public Schools

American Students are increasingly using generative AI to create inappropriate images and videos–known as deepfake non-consensual intimate images (NCII)–of young girls in the K-12 school system (Walker, 2025). To date, schools do not have clear guidelines on how to handle this rising crisis. Federal policy attention, s...

Deepfake NCII: A Rapidly Growing Crisis in American Public Schools

American Students are increasingly using generative AI to create inappropriate images and videos–known as deepfake non-consensual intimate images (NCII)–of young girls in the K-12 school system (Walker, 2025). To date, schools do not have clear guidelines on how to handle this rising crisis. Federal policy attention, s...