18 citations · 49 across the 14 of their papers we have counts for
3 papers · 1 filter
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…
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…
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…