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Understand new AI research with readable explanations and links to the original papers.
Toward Continuous Assurance for the Democratization of AI Agent Creation in Industry As organizations increasingly allow non-engineering staff to build AI ag...
Beyond Sycophancy: Structured Resistance and Compliance in LLM Moral Reasoning This paper explores why large language models (LLMs) often change their opinio...
SPORD: A Simulation-Propose-then-OR-Dispose Approach for Supply Chain Planning introduces a new methodology to solve the complex, fragmented, and often slow...
The Boundaries of Automation: A Theory of Persistent Human Participation The rapid advancement of AI has led to a common assumption: that humans are only inv...
Identifying Good Rules for Efficient SAT Encodings of Single-Constant Multiplication Using Machine Learning The Single Constant Multiplication (SCM) problem...
Basketball is a fast-paced sport where ten players move simultaneously, making it difficult for AI to understand exactly what is happening on the court.
PATS: Policy-Aware Training Scaffolding for Agentic Reinforcement Learning In long-horizon reinforcement learning for LLM agents, weak policies often struggl...
How Rules Represent Causal Knowledge: Causal Modeling with Probabilistic Logic Programming This paper addresses a fundamental challenge in artificial intelli...
An LLM-Driven Workflow for Automated Process Control Strategy Generation and Tuning from Dynamic Process Models This research introduces an automated, agenti...
Logic Programming Semantics for Causal Processes explores how the rules used in computer logic programming can be used to model processes that unfold over ti...
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