mlsanityData to 7 Oct 2026

TravelAgent: An AI Assistant for Personalized Travel Planning

arXiv 2409.08069 ↗First posted 12 Sep 2024cs.AI cs.CLcited by 38

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Abstract (arXiv)

As global tourism expands and artificial intelligence technology advances, intelligent travel planning services have emerged as a significant research focus. Within dynamic real-world travel scenarios with multi-dimensional constraints, services that support users in automatically creating practical and customized travel itineraries must address three key objectives: Rationality, Comprehensiveness, and Personalization. However, existing systems with rule-based combinations or LLM-based planning methods struggle to fully satisfy these criteria. To overcome the challenges, we introduce TravelAgent, a travel planning system powered by large language models (LLMs) designed to provide reasonable, comprehensive, and personalized travel itineraries grounded in dynamic scenarios. TravelAgent comprises four modules: Tool-usage, Recommendation, Planning, and Memory Module. We evaluate TravelAgent's performance with human and simulated users, demonstrating its overall effectiveness in three criteria and confirming the accuracy of personalized recommendations.

Key facts. Cited by 38 papers in the map (data through 7 Oct 2026). Builds on 21 of its 42 references that are in the map. First posted on arXiv 12 Sep 2024.

Builds on

21 of 42 references.

References · 21

  1. 2023GPT-4 Technical Reportcited by 18,132
  2. 2022ReAct: Synergizing Reasoning and Acting in Language Modelscited by 8,355
  3. 2023Toolformer: Language Models Can Teach Themselves to Use Toolscited by 4,072
  4. 2023A Survey on Large Language Model based Autonomous Agentscited by 2,203
  5. 2023ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIscited by 1,880
  6. 2022Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Taskscited by 1,057
  7. 2024TravelPlanner: A Benchmark for Real-World Planning with Language Agentscited by 385
  8. 2023Large Language Models are Zero-Shot Rankers for Recommender Systemscited by 307
  9. 2023HuatuoGPT, towards Taming Language Model to Be a Doctorcited by 211
  10. 2023Is ChatGPT a Good Recommender? A Preliminary Studycited by 192
  11. 2023Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Controlcited by 180
  12. 2023Uncovering ChatGPT's Capabilities in Recommender Systemscited by 160
9 more
  1. 2024EASYTOOL: Enhancing LLM-based Agents with Concise Tool Instructioncited by 153
  2. 2023ChatDB: Augmenting LLMs with Databases as Their Symbolic Memorycited by 136
  3. 2023Do LLMs Understand User Preferences? Evaluating LLMs On User Rating Predictioncited by 113
  4. 2023Knowledge-Augmented Large Language Models for Personalized Contextual Query Suggestioncited by 43
  5. 2022Towards Teachable Reasoning Systems: Using a Dynamic Memory of User Feedback for Continual System Improvementcited by 37
  6. 2023Memory Sandbox: Transparent and Interactive Memory Management for Conversational Agentscited by 36
  7. 2023Beyond ChatBots: ExploreLLM for Structured Thoughts and Personalized Model Responsescited by 18
  8. 2024Language-Based User Profiles for Recommendationcited by 17
  9. 2023Math Agents: Computational Infrastructure, Mathematical Embedding, and Genomicscited by 15

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 1; 2025: 23; 2026: 14.

38 papers.

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  1. 2025TRAJECT-Bench:A Trajectory-Aware Benchmark for Evaluating Agentic Tool Usecited by 46
  2. 2025A Survey on Personalized Alignment -- The Missing Piece for Large Language Models in Real-World Applicationscited by 40
  3. 2025Large Language Models for Planning: A Comprehensive and Systematic Surveycited by 38
  4. 2025A Survey on Personalized and Pluralistic Preference Alignment in Large Language Modelscited by 25
  5. 2025TripTailor: A Real-World Benchmark for Personalized Travel Planningcited by 22
  6. 2025TripCraft: A Benchmark for Spatio-Temporally Fine Grained Travel Planningcited by 21
  7. 2024Toward LLM-Agent-Based Modeling of Transportation Systems: A Conceptual Frameworkcited by 19
  8. 2025DeepTravel: An End-to-End Agentic Reinforcement Learning Framework for Autonomous Travel Planning Agentscited by 17
  9. 2025Is Your LLM-Based Multi-Agent a Reliable Real-World Planner? Exploring Fraud Detection in Travel Planningcited by 14
  10. 2025ATLAS: Constraints-Aware Multi-Agent Collaboration for Real-World Travel Planningcited by 13
  11. 2025TP-RAG: Benchmarking Retrieval-Augmented Large Language Model Agents for Spatiotemporal-Aware Travel Planningcited by 12
  12. 2025RETAIL: Towards Real-world Travel Planning for Large Language Modelscited by 9
26 more
  1. 2025TripTide: A Benchmark for Adaptive Travel Planning under Disruptionscited by 8
  2. 2026MobilityBench: A Benchmark for Evaluating Route-Planning Agents in Real-World Mobility Scenarioscited by 8
  3. 2025Wide-Horizon Thinking and Simulation-Based Evaluation for Real-World LLM Planning with Multifaceted Constraintscited by 6
  4. 2025PixelWorld: How Far Are We from Perceiving Everything as Pixels?cited by 3
  5. 2025AgentCoMa: A Compositional Benchmark Mixing Commonsense and Mathematical Reasoning in Real-World Scenarioscited by 3
  6. 2025How Can Input Reformulation Improve Tool Usage Accuracy in a Complex Dynamic Environment? A Study on τ-benchcited by 3
  7. 2025LocalBench: Benchmarking LLMs on County-Level Local Knowledge and Reasoningcited by 3
  8. 2026TourPlanner: A Competitive Consensus Framework with Constraint-Gated Reinforcement Learning for Travel Planningcited by 3
  9. 2026WorldTravel: A Realistic Multimodal Travel-Planning Benchmark with Tightly Coupled Constraintscited by 3
  10. 2026MANTRA: Synthesizing SMT-Validated Compliance Benchmarks for Tool-Using LLM Agentscited by 3
  11. 2025Urban Computing in the Era of Large Language Modelscited by 2
  12. 2025OpenReward: Learning to Reward Long-form Agentic Tasks via Reinforcement Learningcited by 2
  13. 2026Social Dynamics as Critical Vulnerabilities that Undermine Objective Decision-Making in LLM Collectivescited by 2
  14. 2026AgentWebBench: Benchmarking Multi-Agent Coordination in Agentic Webcited by 2
  15. 2025TripScore: Aligning LLMs for Real-World Travel Planning via Expert-Calibrated Rewardcited by 1
  16. 2025TriFlow: A Progressive Multi-Agent Framework for Intelligent Trip Planningcited by 1
  17. 2026Position: Recommender Systems Should Move Beyond Platform-Centric Ranking toward Personal Agent-Mediated Recommendationcited by 1
  18. 2025IMAIA: Interactive Maps AI Assistant for Travel Planning and Geo-Spatial Intelligencecited by 0
  19. 2025Human Mobility Datasets Enriched With Contextual and Social Dimensionscited by 0
  20. 2026ItinBench: Benchmarking Planning Across Multiple Cognitive Dimensions with Large Language Modelscited by 0
  21. 2026SPAGBias: Uncovering and Tracing Structured Spatial Gender Bias in Large Language Modelscited by 0
  22. 2026Agentic AI for Trip Planning Optimization Applicationcited by 0
  23. 2026TourMart: A Parametric Audit Instrument for Commission Steering in LLM Travel Agentscited by 0
  24. 2026VeriTrip: A Verifiable Benchmark for Travel Planning Agents over Unstructured Web Corporacited by 0
  25. 2026Behavior2Trip: Towards Personalized Travel Planning via User Behavior Trajectorycited by 0
  26. 2026UTP-Bench: Uncertainty-aware Travel Planning Benchmarkcited by 0