arXiv AI
SimGuide: Typed Multi-Context User Representations for Preference-Conditioned Agent Planning
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Compile, Don't Memorize: A Context Compilation Architecture (CCA) for In-Context Learning
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Training the Orchestrator: A Supervised Approach to End-to-End PDDL Planning with LLM Agents
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AgenticSTS: A Bounded-Memory Testbed for Long-Horizon LLM Agents
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GroupTravelBench: Benchmarking LLM Agents on Multi-Person Travel Planning
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