Behavior2Trip: Towards Personalized Travel Planning via User Behavior Trajectory
cs.CL, cs.AI
Submitted: 2026-08-27
Updated: 2026-08-27
Code: https://github.com/BUAA-IRIP-LLM/Behavior2Trip
Terminology
Sources
- gpt-oss-120b & gpt-oss-20b Model Card
- TravelAgent: An AI Assistant for Personalized Travel Planning
- A Survey on Multi-Behavior Sequential Recommendation
- Terminal-World: Scaling Terminal-Agent Environments via Agent Skills
- TRIP-PAL: Travel Planning with Guarantees by Combining Large Language Models and Automated Planners
- Large Language Models Can Solve Real-World Planning Rigorously with Formal Verification Tools
- DeepSeek-V3 Technical Report
- DocOS: Towards Proactive Document-Guided Actions in GUI Agents
- Towards Full Delegation: Designing Ideal Agentic Behaviors for Travel Planning
- Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
- To the Globe (TTG): Towards Language-Driven Guaranteed Travel Planning
- Large Language Model Agent: A Survey on Methodology, Applications and Challenges
- TP-RAG: Benchmarking Retrieval-Augmented Large Language Model Agents for Spatiotemporal-Aware Travel Planning
- ChinaTravel: An Open-Ended Travel Planning Benchmark with Compositional Constraint Validation for Language Agents
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- Agentic Reasoning and Tool Integration for LLMs via Reinforcement Learning
- Kimi k1.5: Scaling Reinforcement Learning with LLMs
- Acting Less is Reasoning More! Teaching Model to Act Efficiently
- Perception-Aware Policy Optimization for Multimodal Reasoning
- TravelPlanner: A Benchmark for Real-World Planning with Language Agents
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