7 papers
An AI-Based Decision-Support Pipeline for Day-Ahead Photovoltaic Forecasting
Fariba Dehghan, Sebastian Stein, Vahid Yazdanpanah +2
Reliable photovoltaic (PV) forecasts are needed for low-carbon energy systems, but newly deployed sites often have short, imperfect records. This makes standard day-ahead forecasti…
Instruction-Conditioned Exploration for Reinforcement Learning with Self-Distillation to an Unconditioned Policy
Jim Dilkes, Vahid Yazdanpanah, Sebastian Stein
Post-training Large Language Models (LLMs) with Reinforcement Learning (RL) has become an important tool for improving model capabilities, but the LLM action-space structure introd…
Three Lessons from Citizen-Centric Participatory AI Design
Eike Schneiders, Sarah Kiden, Beining Zhang +5
This workshop paper examines challenges in designing agentic AI systems from a citizen-centric perspective. Drawing on three participatory workshops conducted in 2025 with members…
PTFA: An LLM-based Agent that Facilitates Online Consensus Building through Parallel Thinking
Wen Gu, Zhaoxing Li, Jan Buermann +5
Consensus building is inherently challenging due to the diverse opinions held by stakeholders. Effective facilitation is crucial to support the consensus building process and enabl…
Reinforced Language Models for Sequential Decision Making
Jim Dilkes, Vahid Yazdanpanah, Sebastian Stein
Large Language Models (LLMs) show potential as sequential decision-making agents, but their application is often limited due to a reliance on large, computationally expensive model…
TutorLLM: Customizing Learning Recommendations with Knowledge Tracing and Retrieval-Augmented Generation
Zhaoxing Li, Vahid Yazdanpanah, Jindi Wang +5
The integration of AI in education offers significant potential to enhance learning efficiency. Large Language Models (LLMs), such as ChatGPT, Gemini, and Llama, allow students to…