computer vision

Early Results of an AI Multiagent System for Requirements Elicitation and Analysis

LLM-based agents for automating the enhancement of user story quality: An early report

The use of large language models to automatically improve the user story quality in Austrian Post Group IT agile teams is explored, with a reference model for an Autonomous LLM-based Agent System developed and implemented at the company.

AI and Agile Software Development: From Frustration to Success - XP2025 Workshop Summary

The workshop culminated in the collaborative development of a research roadmap that pinpoints actionable directions for future work, including both immediate solutions and ambitious long-term goals.

Specializing LLMs with Custom Datasets: A Four-Round Open vs Closed Comparison

Engineering RAG Systems for Real-World Applications: Design, Development, and Evaluation

Five domain-specific RAG applications developed for real-world scenarios across governance, cybersecurity, agriculture, industrial research, and medical diagnostics are presented, highlighting technical, operational, and ethical challenges affecting the reliability and usability of RAG systems in practice.

LLM-based Multi-Agent System for Intelligent Refactoring of Haskell Code

Results highlight the ability of LLM-based multi-agent in managing refactoring tasks targeted toward functional programming paradigms and hint that LLM-based multi-agent systems integration into the refactoring of functional programming languages can enhance maintainability and support automated development workflows.

Anomaly detection in smart power grids with graph-regularized MS-SVDD: a multimodal subspace learning approach

A generalized Multimodal Subspace Support Vector Data Description model with graph-embedded regularization is proposed, illustrating how relational and structural information can be systematically embedded into one-class models, enabling robust learning under complex, high-dimensional, and multimodal conditions.

From Meetings to Product Vision: An Agentic Approach with MARARE

From Business Meetings to Requirement Artifacts: An Agentic AI Approach with MARARE

Preliminary results indicate performance differences across LLMs, suggesting that model choice influences coverage, consistency, and hallucination rates.

Bridging Humans and LLMs: Investigating Human-AI Collaboration in Multi-agent Requirements Analysis for Organizational AI Adoption

LLM-based multi-agent systems can support strategic AI planning by enabling iterative refinement with human experts by supporting structured and collaborative Requirements Engineering processes for AI adoption planning.

Deep Thought Alignment: Trajectory-Level Latent Distillation for Video Reasoning

Latent-OPD is proposed, which augments OPD with trajectory-level latent distillation and introduces a progressive teacher-lookahead strategy, which aligns middle-to-late student layers with increasingly deeper teacher layers, establishing Latent-OPD as a highly effective approach to frame-efficient video reasoning.

Q-CueGraph: Query-Conditioned Visual Evidence Graphs for Multimodal Reasoning

Q-CueGraph maps a question and an image representation to budgeted, coordinate-level observations for a frozen reader, and reaches 92% of full-image ANLS on InfographicVQA from about half the image area.