3 papers
cs.IT2026
Goal-Oriented Logic-based Semantic Communication for Neuro-Symbolic Reasoning with Applications onto Autonomous Driving
Ahmet Faruk Saz, Duo Xu, Faramarz Fekri
We consider First-Order Logic (FOL)-based semantic communication for neuro-symbolic decision-making in collaborative environments such as autonomous driving networks. Each connecte…
cs.AI2026
NeSyFS: A Neuro-symbolic Fast-Slow Thinking Framework for LLM Agent under Partial Observability
Duo Xu, Faramarz Fekri
Recently Large Language Models (LLMs) have been increasingly deployed as autonomous agents in applications such as self-reflection, retrieval-augmented generation, and scientific d…
cs.AI2025
Reinforcement Learning-Augmented LLM Agents for Collaborative Decision Making and Performance Optimization
Dong Qiu, Duo Xu, Limengxi Yue
Large Language Models (LLMs) perform well in language tasks but often lack collaborative awareness and struggle to optimize global performance in multi-agent settings. We present a…