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Found 5 papers, 2 papers with code
Distributed Autonomous Swarm Formation for Dynamic Network Bridging
Effective operation and seamless cooperation of robotic systems are a fundamental component of next-generation technologies and applications.
Probabilistic Reasoning in Generative Large Language Models
This paper considers the challenges that Large Language Models (LLMs) face when reasoning over text that includes information involving uncertainty explicitly quantified via probability values.
Collaborative Information Dissemination with Graph-based Multi-Agent Reinforcement Learning
Efficient information dissemination is crucial for supporting critical operations across domains like disaster response, autonomous vehicles, and sensor networks.
Teaching Probabilistic Logical Reasoning to Transformers
In this paper, we evaluate the capability of transformer-based language models in making inferences over uncertain text that includes uncertain rules of reasoning.
Thinking Fast and Slow in AI: the Role of Metacognition
AI systems have seen dramatic advancement in recent years, bringing many applications that pervade our everyday life.
