Copertina

Frontier Large Language Models Rival State-of-the-Art Planners

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Corrêa, Augusto B., Pereira, André G., Seipp, Jendrik
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Artificial Intelligence Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Classical Planning with LLM-Generated Heuristics: Challenging the State of the Art with Python Code
di: Corrêa, Augusto B., et al.
Pubblicazione: (2025)

Property-Guided LLM Program Synthesis for Planning
di: Pereira, André G., et al.
Pubblicazione: (2026)

Symmetry-Aware Transformer Training for Automated Planning
di: Fritzsche, Markus, et al.
Pubblicazione: (2025)

Consolidating LAMA with Best-First Width Search
di: Corrêa, Augusto B., et al.
Pubblicazione: (2024)

Reinforcement Learning with Reward Machines for Sleep Control in Mobile Networks
di: Levina, Kristina, et al.
Pubblicazione: (2026)

Numeric Reward Machines
di: Levina, Kristina, et al.
Pubblicazione: (2024)

LLM-Evolved Domain-Independent Heuristics for Symbolic AI Planning
di: Gestrin, Elliot, et al.
Pubblicazione: (2026)

Code and experiment data from the NeurIPS 2025 paper "Classical Planning with LLM-Generated Heuristics: Challenging the State of the Art with Python Code"
di: Corrêa, Augusto B., et al.
Pubblicazione: (2025)

PARAMANU-GANITA: Can Small Math Language Models Rival with Large Language Models on Mathematical Reasoning?
di: Niyogi, Mitodru, et al.
Pubblicazione: (2024)

Dynamic Tree Databases in Automated Planning
di: Joergensen, Oliver, et al.
Pubblicazione: (2025)

Parallel Lifted Planning via Semi-Naive Datalog Evaluation
di: Drexler, Dominik, et al.
Pubblicazione: (2026)

NL2Plan: Robust LLM-Driven Planning from Minimal Text Descriptions
di: Gestrin, Elliot, et al.
Pubblicazione: (2024)

Large Language Models in Cybersecurity: State-of-the-Art
di: Motlagh, Farzad Nourmohammadzadeh, et al.
Pubblicazione: (2024)

State-Covering Trajectory Stitching for Diffusion Planners
di: Lee, Kyowoon, et al.
Pubblicazione: (2025)

LASP: Surveying the State-of-the-Art in Large Language Model-Assisted AI Planning
di: Li, Haoming, et al.
Pubblicazione: (2024)

Large Language Models are Learnable Planners for Long-Term Recommendation
di: Shi, Wentao, et al.
Pubblicazione: (2024)

Position: State-of-the-Art Claims Require State-of-the-Art Evidence
di: Oh, YongKyung
Pubblicazione: (2026)

Small Encoders Can Rival Large Decoders in Detecting Groundedness
di: Abbes, Istabrak, et al.
Pubblicazione: (2025)

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

Can Large Language Models Play Text Games Well? Current State-of-the-Art and Open Questions
di: Tsai, Chen Feng, et al.
Pubblicazione: (2023)

Alice in Wonderland: Simple Tasks Showing Complete Reasoning Breakdown in State-Of-the-Art Large Language Models
di: Nezhurina, Marianna, et al.
Pubblicazione: (2024)

LLM-Evolved Pattern Generators for Optimal Classical Planning
di: Phung, Windy, et al.
Pubblicazione: (2026)

GenPlan: Generative Sequence Models as Adaptive Planners
di: Karthikeyan, Akash, et al.
Pubblicazione: (2024)

HELP: Hierarchical Embodied Language Planner for Household Tasks
di: Korchemnyi, Alexandr V., et al.
Pubblicazione: (2025)

Qalb: Largest State-of-the-Art Urdu Large Language Model for 230M Speakers with Systematic Continued Pre-training
di: Hassan, Muhammad Taimoor, et al.
Pubblicazione: (2026)

Iterative Deployment Improves Planning Skills in LLMs
di: Corrêa, Augusto B., et al.
Pubblicazione: (2025)

Art and Science of Quantizing Large-Scale Models: A Comprehensive Overview
di: Wang, Yanshu, et al.
Pubblicazione: (2024)

Gradient-Optimized Fuzzy Classifier: A Benchmark Study Against State-of-the-Art Models
di: Sieverding, Magnus, et al.
Pubblicazione: (2025)

Alignment Revisited: Are Large Language Models Consistent in Stated and Revealed Preferences?
di: Gu, Zhuojun, et al.
Pubblicazione: (2025)

GWT: Scalable Optimizer State Compression for Large Language Model Training
di: Wen, Ziqing, et al.
Pubblicazione: (2025)

Frontier Models are Capable of In-context Scheming
di: Meinke, Alexander, et al.
Pubblicazione: (2024)

Calibration in Deep Learning: A Survey of the State-of-the-Art
di: Wang, Cheng
Pubblicazione: (2023)

One STEP at a time: Language Agents are Stepwise Planners
di: Nguyen, Minh, et al.
Pubblicazione: (2024)

Choosing a Classical Planner with Graph Neural Networks
di: Vatter, Jana, et al.
Pubblicazione: (2024)

Latent Adaptive Planner for Dynamic Manipulation
di: Noh, Donghun, et al.
Pubblicazione: (2025)

Wasserstein Distance Rivals Kullback-Leibler Divergence for Knowledge Distillation
di: Lv, Jiaming, et al.
Pubblicazione: (2024)

Large Language Models for UAVs: Current State and Pathways to the Future
di: Javaid, Shumaila, et al.
Pubblicazione: (2024)

What Makes a Good Diffusion Planner for Decision Making?
di: Lu, Haofei, et al.
Pubblicazione: (2025)

Resisting Stochastic Risks in Diffusion Planners with the Trajectory Aggregation Tree
di: Feng, Lang, et al.
Pubblicazione: (2024)

Dialogue Action Tokens: Steering Language Models in Goal-Directed Dialogue with a Multi-Turn Planner
di: Li, Kenneth, et al.
Pubblicazione: (2024)