repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 1mo 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).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 54%SenseWalk: Agent-Based Semantic Trajectory Simulation Powered by Large Language Models in Zoned Environments →
- PossiblePossibly related (embedding) · 51%Linguistic Firewall: Geometry as Defense in Multi-Agent Systems Routing →
- PossiblePossibly related (embedding) · 49%Learning from Failure: Inference-Time Self-Improvement for Computer-Use Agents →
- PossiblePossibly related (embedding) · 47%AutoTrainess: Teaching Language Models to Improve Language Models Autonomously →
- PossiblePossibly related (embedding) · 46%Travel-Oriented Reasoning Large Language Model via Domain-Specific Knowledge Graphs →
- PossiblePossibly related (embedding) · 55%Chinese AI-powered large-language models gain traction among foreign firms - Global Times →
- PossiblePossibly related (embedding) · 55%Reproducing human biases in route choice using large language models: Toward scalable behavioral modeling →
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
Covers (incoming)
Implements (incoming)
Related across the graph
paperLinguistic Firewall: Geometry as Defense in Multi-Agent Systems RoutingpaperReproducing human biases in route choice using large language models: Toward scalable behavioral modelingpaperSenseWalk: 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 AgentsnewsChinese AI-powered large-language models gain traction among foreign firms - Global TimespaperAutoTrainess: Teaching Language Models to Improve Language Models Autonomously