Copertina

TRIP-PAL: Travel Planning with Guarantees by Combining Large Language Models and Automated Planners

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	de la Rosa, Tomas, Gopalakrishnan, Sriram, Pozanco, Alberto, Zeng, Zhen, Borrajo, Daniel
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Counterfactual Reasoning in Automated Planning
di: Pozanco, Alberto, et al.
Pubblicazione: (2026)

On Learning Action Costs from Input Plans
di: Morales, Marianela, et al.
Pubblicazione: (2024)

On Computing Plans with Uniform Action Costs
di: Pozanco, Alberto, et al.
Pubblicazione: (2024)

Projection Abstractions in Planning Under the Lenses of Abstractions for MDPs
di: Canonaco, Giuseppe, et al.
Pubblicazione: (2024)

Generalising Planning Environment Redesign
di: Pozanco, Alberto, et al.
Pubblicazione: (2024)

A Planning Compilation to Reason about Goal Achievement at Planning Time
di: Pozanco, Alberto, et al.
Pubblicazione: (2025)

Planning with Minimal Disruption
di: Pozanco, Alberto, et al.
Pubblicazione: (2025)

Planning Task Shielding: Detecting and Repairing Flaws in Planning Tasks through Turning them Unsolvable
di: Pozanco, Alberto, et al.
Pubblicazione: (2026)

GenPlanX. Generation of Plans and Execution
di: Borrajo, Daniel, et al.
Pubblicazione: (2025)

Semantic Partial Grounding via LLMs
di: Canonaco, Giuseppe, et al.
Pubblicazione: (2026)

Unveiling Interesting Insights: Monte Carlo Tree Search for Knowledge Discovery
di: Totis, Pietro, et al.
Pubblicazione: (2025)

On the Temporal Question-Answering Capabilities of Large Language Models Over Anonymized Data
di: Ruiz, Alfredo Garrachón, et al.
Pubblicazione: (2025)

On the Sample Efficiency of Abstractions and Potential-Based Reward Shaping in Reinforcement Learning
di: Canonaco, Giuseppe, et al.
Pubblicazione: (2024)

GenePlan: Evolving Better Generalized PDDL Plans using Large Language Models
di: Murray, Andrew, et al.
Pubblicazione: (2026)

Contrastive Explanations of Centralized Multi-agent Optimization Solutions
di: Zehtabi, Parisa, et al.
Pubblicazione: (2023)

CoPAL: Corrective Planning of Robot Actions with Large Language Models
di: Joublin, Frank, et al.
Pubblicazione: (2023)

Intelligent Execution through Plan Analysis
di: Borrajo, Daniel, et al.
Pubblicazione: (2024)

The Subset Sum Matching Problem
di: Wu, Yufei, et al.
Pubblicazione: (2025)

Revisiting the Travel Planning Capabilities of Large Language Models
di: Zhang, Bo-Wen, et al.
Pubblicazione: (2026)

Don't Vibe Code, Do Skele-Code: Interactive No-Code Notebooks for Subject Matter Experts to Build Lower-Cost Agentic Workflows
di: Gopalakrishnan, Sriram
Pubblicazione: (2026)

World-aware Planning Narratives Enhance Large Vision-Language Model Planner
di: Shi, Junhao, et al.
Pubblicazione: (2025)

TRIP-Evaluate: An Open Multimodal Benchmark for Evaluating Large Models in Transportation
di: Gong, Han, et al.
Pubblicazione: (2026)

RETAIL: Towards Real-world Travel Planning for Large Language Models
di: Deng, Bin, et al.
Pubblicazione: (2025)

QBD-RankedDataGen: Generating Custom Ranked Datasets for Improving Query-By-Document Search Using LLM-Reranking with Reduced Human Effort
di: Gopalakrishnan, Sriram, et al.
Pubblicazione: (2025)

PAL: Proxy-Guided Black-Box Attack on Large Language Models
di: Sitawarin, Chawin, et al.
Pubblicazione: (2024)

Methods for Matching English Language Addresses
di: Ramani, Keshav, et al.
Pubblicazione: (2024)

Bridging LLM Planning Agents and Formal Methods: A Case Study in Plan Verification
di: Ramani, Keshav, et al.
Pubblicazione: (2025)

Tree-Planner: Efficient Close-loop Task Planning with Large Language Models
di: Hu, Mengkang, et al.
Pubblicazione: (2023)

Intelli-Planner: Towards Customized Urban Planning via Large Language Model Empowered Reinforcement Learning
di: Yong, Xixian, et al.
Pubblicazione: (2026)

TourPlanner: A Competitive Consensus Framework with Constraint-Gated Reinforcement Learning for Travel Planning
di: Wang, Yinuo, et al.
Pubblicazione: (2026)

PAL: Personal Adaptive Learner
di: Chakraborty, Megha, et al.
Pubblicazione: (2026)

Can We Rely on LLM Agents to Draft Long-Horizon Plans? Let's Take TravelPlanner as an Example
di: Chen, Yanan, et al.
Pubblicazione: (2024)

A Survey on Large Language Models for Automated Planning
di: Aghzal, Mohamed, et al.
Pubblicazione: (2025)

LLMs as Planning Formalizers: A Survey for Leveraging Large Language Models to Construct Automated Planning Models
di: Tantakoun, Marcus, et al.
Pubblicazione: (2025)

Frontier Large Language Models Rival State-of-the-Art Planners
di: Corrêa, Augusto B., et al.
Pubblicazione: (2025)

MinePlanner: A Benchmark for Long-Horizon Planning in Large Minecraft Worlds
di: Hill, William, et al.
Pubblicazione: (2023)

TwoStep: Multi-agent Task Planning using Classical Planners and Large Language Models
di: Bai, David, et al.
Pubblicazione: (2024)

CoViPAL: Layer-wise Contextualized Visual Token Pruning for Large Vision-Language Models
di: Tang, Zicong, et al.
Pubblicazione: (2025)

Automated Retrosynthesis Planning of Macromolecules Using Large Language Models and Knowledge Graphs
di: Ma, Qinyu, et al.
Pubblicazione: (2025)

On the Prospects of Incorporating Large Language Models (LLMs) in Automated Planning and Scheduling (APS)
di: Pallagani, Vishal, et al.
Pubblicazione: (2024)