Jun 4, 2026
What Type of Inference is Active Inference?
What Type of Inference is Active Inference? explores how to mathematically unify decision-making and information-seeking behavior.
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AI Research Papers
Understand new AI research with readable explanations and links to the original papers.
Jun 4, 2026
Knowledge Index of Noah's Ark
Knowledge Index of Noah's Ark The Knowledge Index of Noah's Ark (KINA) is a new benchmark designed to address systemic flaws in how Large Language Models (LL...
Jun 4, 2026
AutoLab: Can Frontier Models Solve Long-Horizon Auto Research and Engineering Tasks?
Scientific and engineering progress is rarely the result of a single, perfect idea; it is an iterative process of proposing changes, testing them, and refini...
Jun 4, 2026
BiasGRPO: Stabilizing Bias Mitigation in High-Variance Reward Landscapes via Group-Relative Policy Optimization
BiasGRPO: Stabilizing Bias Mitigation in High-Variance Reward Landscapes via Group-Relative Policy Optimization Mitigating social bias in Large Language Mode...
Jun 4, 2026
Beyond Objective Equivalence: Constraint Injection for LLM-Based Optimization Modeling on Vehicle Routing Problems
Beyond Objective Equivalence: Constraint Injection for LLM-Based Optimization Modeling on Vehicle Routing Problems Large language models (LLMs) are increasin...
Jun 4, 2026
Strabo: Declarative Specification and Implementation of Agentic Interaction Protocols
Strabo is a research project that bridges the gap between formal academic methods for multiagent systems and practical industry standards for Agentic AI.
Jun 4, 2026
R-APS: Compositional Reasoning and In-Context Meta-Learning for Constrained Design via Reflective Adversarial Pareto Search
Large language models (LLMs) often struggle when tasked with complex, agentic work—such as planning or mechanical design—because they lack the structural rel...
Jun 4, 2026
Tree-Based Formalization of Multi-Agent Complementarity in Human-AI Interactions
Tree-Based Formalization of Multi-Agent Complementarity in Human-AI Interactions This research addresses a fundamental gap in how we understand "complementar...
Jun 4, 2026
AIP: A Graph Representation for Learning and Governing Agent Skills
AIP: A Graph Representation for Learning and Governing Agent Skills The Agent Instruction Protocol (AIP) is a new framework designed to improve how AI agents...
Jun 3, 2026
EvoDS: Self-Evolving Autonomous Data Science Agent with Skill Learning and Context Management
EvoDS: Self-Evolving Autonomous Data Science Agent with Skill Learning and Context Management Data science workflows are complex, iterative, and often requir...
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