arXiv Artificial IntelligenceToward Effective and Reliable LLM Agents via Dynamic Ontology
arXiv:2608.22974v1 Announce Type: new Abstract: Large language model (LLM) agents rely heavily on knowledge…
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arXiv Artificial IntelligencearXiv:2608.22974v1 Announce Type: new Abstract: Large language model (LLM) agents rely heavily on knowledge…
arXiv Artificial IntelligencearXiv:2608.22971v1 Announce Type: new Abstract: Embodied Reasoning constitutes a fundamental capability of…
arXiv Artificial IntelligencearXiv:2608.22960v1 Announce Type: new Abstract: Coding agents are increasingly evaluated not only by whether…
arXiv Artificial IntelligencearXiv:2608.22930v1 Announce Type: new Abstract: Agentic AI is a fascinating new tool for software…
arXiv Artificial IntelligencearXiv:2608.22920v1 Announce Type: new Abstract: Multi-behavior recommendation (MBR) leverages auxiliary…
arXiv Artificial IntelligencearXiv:2608.22899v1 Announce Type: new Abstract: Unlike static medical question answering, long-horizon…
arXiv Artificial IntelligencearXiv:2608.22887v1 Announce Type: new Abstract: Large language models (LLMs) are entering decisions in triage…
arXiv Artificial IntelligencearXiv:2608.22852v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used in…
arXiv Artificial IntelligencearXiv:2608.22847v1 Announce Type: new Abstract: Vision-Language Models (VLMs) based GUI agents stand to…
arXiv Artificial IntelligencearXiv:2608.22842v1 Announce Type: new Abstract: Financial document parsing requires accuracy, structural…
arXiv Artificial IntelligencearXiv:2608.22832v1 Announce Type: new Abstract: The social interactions among crowds via \textit{Danmaku}…
arXiv Artificial IntelligencearXiv:2608.22830v1 Announce Type: new Abstract: Deploying LLMs for enterprise Text-to-SQL is bottlenecked…