56 citations · 126 across the 9 of their papers we have counts for
7 papers · 1 filter
Narration-of-Thought: Inference-Time Scaffolding for Defeasible Ethical Reasoning in Large Language Models
Patrick Cooper, Alvaro Velasquez
Standard chain-of-thought on moral dilemmas exhibits two failure modes: stakeholder collapse (the trace names at most one party with a stake in the outcome) and uncertainty suppres…
DeFAb: A Dataset for Grounded Scientific Discovery through Defeasible Abduction
Patrick Cooper, Alvaro Velasquez, Avyay Sadhu
A theory can accommodate a counterexample by adding an exception. The harder problem is deciding how far the exception should extend and which predictions should survive. We presen…
ANNEAL: Adapting LLM Agents via Governed Symbolic Patch Learning
Safayat Bin Hakim, Keyan Guo, Wenkai Tan +3
LLM-based agents can recover from individual execution errors, yet they repeatedly fail on the same fault when the underlying process knowledge--operator schemas, preconditions, an…
SymRAG: Efficient Neuro-Symbolic Retrieval Through Adaptive Query Routing
Safayat Bin Hakim, Muhammad Adil, Alvaro Velasquez +1
Current Retrieval-Augmented Generation systems use uniform processing, causing inefficiency as simple queries consume resources similar to complex multi-hop tasks. We present SymRA…
ANSR-DT: A Neuro-Symbolic Framework for Adaptive and Explainable Digital Twins
Safayat Bin Hakim, Muhammad Adil, Alvaro Velasquez +1
Digital twins are increasingly used to monitor and optimize industrial systems, yet many existing frameworks remain difficult to interpret, slow to adapt, and limited in their abil…
A Survey on Verification and Validation, Testing and Evaluations of Neurosymbolic Artificial Intelligence
Justus Renkhoff, Ke Feng, Marc Meier-Doernberg +2
Neurosymbolic artificial intelligence (AI) is an emerging branch of AI that combines the strengths of symbolic AI and sub-symbolic AI. A major drawback of sub-symbolic AI is that i…
Neurosymbolic Reinforcement Learning and Planning: A Survey
K. Acharya, W. Raza, C. M. J. M. Dourado +2
The area of Neurosymbolic Artificial Intelligence (Neurosymbolic AI) is rapidly developing and has become a popular research topic, encompassing sub-fields such as Neurosymbolic De…