arXiv Artificial IntelligenceNeurOWL: An LLM-Based Neural-symbolic Framework for Incomplete OWL Ontology Reasoning
arXiv:2607.15776v2 Announce Type: replace Abstract: OWL ontologies provide a formal knowledge representation…
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arXiv Artificial IntelligencearXiv Artificial IntelligenceThe Capability Convergence Hypothesis: Capability from Access Structure, Not Scale
arXiv:2607.14144v2 Announce Type: replace Abstract: The Platonic Representation Hypothesis (PRH) holds that…
arXiv Artificial IntelligenceSolution Space Path Planning: A Real-Time Human-Centered Path Planning Algorithm for En-Route Air Traffic Control
arXiv:2607.00064v2 Announce Type: replace Abstract: As technology advances, various algorithms have been…
arXiv Artificial IntelligenceLabGuard: Grounding Natural-Language Laboratory Rules into Runtime Guards for Embodied Laboratory Agents
arXiv:2606.31045v2 Announce Type: replace Abstract: Scientific embodied agents are increasingly capable of…
arXiv Artificial IntelligenceLatent Actions from Factorized Transition Effects under Agent Ambiguity
arXiv:2606.30544v2 Announce Type: replace Abstract: Latent Action Models (LAMs) learn action-like proxies…
arXiv Artificial IntelligenceEvalSafetyGap: A Hybrid Survey and Conceptual Framework for LLM Evaluation-Safety Failures
arXiv:2606.30219v5 Announce Type: replace Abstract: This paper presents a systematic survey and conceptual…
arXiv Artificial IntelligenceCognitive World Model for Progressive BDI/E Trajectory Evaluation of Conversational Agents
arXiv:2606.29495v2 Announce Type: replace Abstract: As LLM-based conversational agents advance toward…
arXiv Artificial IntelligenceReSum: Synergizing LLM Reasoning and Summarization with Reinforcement Learning
arXiv:2606.13316v2 Announce Type: replace Abstract: Reinforcement Learning with Verifiable Rewards (RLVR) is…
arXiv Artificial IntelligenceRole-Agent: Bootstrapping LLM Agents via Dual-Role Evolution
arXiv:2606.10917v2 Announce Type: replace Abstract: Although Large Language Model (LLM) agents have…
arXiv Artificial IntelligenceA Multi-Agent System for Motor Design Optimization via an FEA-AI Hybrid Approach
arXiv:2606.09037v2 Announce Type: replace Abstract: This study presents a large language model (LLM)-based…
arXiv Artificial IntelligenceThe Self-Correction Illusion: Role Relabeling Gates Explicit Error Flagging in Large Language Models
arXiv:2606.05976v2 Announce Type: replace Abstract: Recent works show that LLM agents struggle to correct…
arXiv Artificial IntelligencePAIR: Prefix-Aware Internal Reward Model for Multi-Turn Agent Optimization
arXiv:2605.17877v2 Announce Type: replace Abstract: A significant hurdle for current LLMs is the execution of…
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