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  1. Home
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  3. /LAMDA-NeSy/ChinaTravel
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repoGitHubTrust 82 · PrimaryPublished 9h agoLive · 9h ago

LAMDA-NeSy/ChinaTravel

ChinaTravel: A Real-World Benchmark for Language Agents in Chinese Travel Planning

Lineage graph

Paper → model → repo connections mined from source citations (Tier-1 exact match).

Implements

paperSenseWalk: Agent-Based Semantic Trajectory Simulation Powered by Large Language Models in Zoned EnvironmentspaperLinguistic Firewall: Geometry as Defense in Multi-Agent Systems RoutingpaperLearning from Failure: Inference-Time Self-Improvement for Computer-Use AgentspaperAutoTrainess: Teaching Language Models to Improve Language Models AutonomouslypaperTravel-Oriented Reasoning Large Language Model via Domain-Specific Knowledge Graphs

Related across the graph

paperLinguistic Firewall: Geometry as Defense in Multi-Agent Systems RoutingpaperSenseWalk: Agent-Based Semantic Trajectory Simulation Powered by Large Language Models in Zoned EnvironmentspaperTravel-Oriented Reasoning Large Language Model via Domain-Specific Knowledge GraphspaperLearning from Failure: Inference-Time Self-Improvement for Computer-Use AgentspaperAutoTrainess: Teaching Language Models to Improve Language Models Autonomously
Knowledge path·PLinguistic Firewall: Geometry as Defense in Multi-Agent Systems Routing→PSenseWalk: Agent-Based Semantic Trajectory Simulation Powered by Large Language Models in Zoned Environments→PTravel-Oriented Reasoning Large Language Model via Domain-Specific Knowledge Graphs→RLAMDA-NeSy/ChinaTravel

Topics

agentic-aibenchmarkconstraint-satisfaction-problemlanguage-agentllmllm-planningneuro-symbolic-aitravel-planning

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Graph trust82Primary
Graph score117