A Retrieval-Enhanced Transformer for Multi-Step Port-of-Call Sequence Prediction in Global Liner Shipping
Fuente:
arXiv
Saved in:
| Main Authors: | Su, Yanzhao, He, Fang, Wang, Yineng |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Beyond the Next Port: A Multi-Task Transformer for Forecasting Future Voyage Segment Durations
by: Liu, Nairui, et al.
Published: (2026)
by: Liu, Nairui, et al.
Published: (2026)
Transformers Can Navigate Mazes With Multi-Step Prediction
by: Nolte, Niklas, et al.
Published: (2024)
by: Nolte, Niklas, et al.
Published: (2024)
MSD-LLM: Predicting Ship Detention in Port State Control Inspections with Large Language Model
by: Jin, Jiongchao, et al.
Published: (2025)
by: Jin, Jiongchao, et al.
Published: (2025)
Retrieval-Augmented Water Level Forecasting for Everglades
by: Rangaraj, Rahuul, et al.
Published: (2025)
by: Rangaraj, Rahuul, et al.
Published: (2025)
Semantic Step Prediction: Multi-Step Latent Forecasting in LLM Reasoning Trajectories via Step Sampling
by: Yuan, Yidi
Published: (2026)
by: Yuan, Yidi
Published: (2026)
Dynamic Tool Dependency Retrieval for Lightweight Function Calling
by: Patel, Bhrij, et al.
Published: (2025)
by: Patel, Bhrij, et al.
Published: (2025)
Modeling Multi-Step Scientific Processes with Graph Transformer Networks
by: Volk, Amanda A., et al.
Published: (2024)
by: Volk, Amanda A., et al.
Published: (2024)
Sequence Complementor: Complementing Transformers For Time Series Forecasting with Learnable Sequences
by: Chen, Xiwen, et al.
Published: (2025)
by: Chen, Xiwen, et al.
Published: (2025)
$S^3$-R1: Learning to Retrieve and Answer Step-by-Step with Synthetic Data
by: Goel, Harsh, et al.
Published: (2026)
by: Goel, Harsh, et al.
Published: (2026)
Boosting Deep Ensembles with Learning Rate Tuning
by: Jin, Hongpeng, et al.
Published: (2024)
by: Jin, Hongpeng, et al.
Published: (2024)
AutoCast++: Enhancing World Event Prediction with Zero-shot Ranking-based Context Retrieval
by: Yan, Qi, et al.
Published: (2023)
by: Yan, Qi, et al.
Published: (2023)
Steps Adaptive Decay DPSGD: Enhancing Performance on Imbalanced Datasets with Differential Privacy with HAM10000
by: Huang, Xiaobo, et al.
Published: (2025)
by: Huang, Xiaobo, et al.
Published: (2025)
Predictive Analysis for Optimizing Port Operations
by: Rao, Aniruddha Rajendra, et al.
Published: (2024)
by: Rao, Aniruddha Rajendra, et al.
Published: (2024)
Auto-ML Graph Neural Network Hypermodels for Outcome Prediction in Event-Sequence Data
by: Wang, Fang, et al.
Published: (2025)
by: Wang, Fang, et al.
Published: (2025)
A Step-by-step Introduction to the Implementation of Automatic Differentiation
by: Fang, Yu-Hsueh, et al.
Published: (2024)
by: Fang, Yu-Hsueh, et al.
Published: (2024)
ExoTST: Exogenous-Aware Temporal Sequence Transformer for Time Series Prediction
by: Tayal, Kshitij, et al.
Published: (2024)
by: Tayal, Kshitij, et al.
Published: (2024)
Transformers Simulate MLE for Sequence Generation in Bayesian Networks
by: Cao, Yuan, et al.
Published: (2025)
by: Cao, Yuan, et al.
Published: (2025)
Towards Explainable Deep Learning for Ship Trajectory Prediction in Inland Waterways
by: Legel, Tom, et al.
Published: (2026)
by: Legel, Tom, et al.
Published: (2026)
Agentic Retrieval of Topics and Insights from Earnings Calls
by: Gupta, Anant, et al.
Published: (2025)
by: Gupta, Anant, et al.
Published: (2025)
A Mechanistic Analysis of a Transformer Trained on a Symbolic Multi-Step Reasoning Task
by: Brinkmann, Jannik, et al.
Published: (2024)
by: Brinkmann, Jannik, et al.
Published: (2024)
How Transformers Learn to Plan via Multi-Token Prediction
by: Huang, Jianhao, et al.
Published: (2026)
by: Huang, Jianhao, et al.
Published: (2026)
Enhancing Accuracy and Maintainability in Nuclear Plant Data Retrieval: A Function-Calling LLM Approach Over NL-to-SQL
by: de Costa, Mishca, et al.
Published: (2025)
by: de Costa, Mishca, et al.
Published: (2025)
Greedy and Transformer-Based Multi-Port Selection for Slow Fluid Antenna Multiple Access
by: Perez-Adan, Darian, et al.
Published: (2026)
by: Perez-Adan, Darian, et al.
Published: (2026)
A Multi-head Attention Fusion Network for Industrial Prognostics under Discrete Operational Conditions
by: Su, Yuqi, et al.
Published: (2026)
by: Su, Yuqi, et al.
Published: (2026)
Predicting Wind Loads on Container Ships in Harbor Environments through Multi-Fidelity Modeling
by: Fiore, Matilde, et al.
Published: (2026)
by: Fiore, Matilde, et al.
Published: (2026)
Liner Shipping Network Design with Reinforcement Learning
by: Dutta, Utsav, et al.
Published: (2024)
by: Dutta, Utsav, et al.
Published: (2024)
Understanding the Expressive Power and Mechanisms of Transformer for Sequence Modeling
by: Wang, Mingze, et al.
Published: (2024)
by: Wang, Mingze, et al.
Published: (2024)
Introduction to Sequence Modeling with Transformers
by: Kämäräinen, Joni-Kristian
Published: (2025)
by: Kämäräinen, Joni-Kristian
Published: (2025)
Transforming Chatbot Text: A Sequence-to-Sequence Approach
by: Reddy, Natesh, et al.
Published: (2025)
by: Reddy, Natesh, et al.
Published: (2025)
Arctic Long Sequence Training: Scalable And Efficient Training For Multi-Million Token Sequences
by: Bekman, Stas, et al.
Published: (2025)
by: Bekman, Stas, et al.
Published: (2025)
Hybrid Training for Enhanced Multi-task Generalization in Multi-agent Reinforcement Learning
by: Zhang, Mingliang, et al.
Published: (2024)
by: Zhang, Mingliang, et al.
Published: (2024)
To Call or Not to Call: Diagnosing Intrinsic Over-Calling Bias in LLM Agents
by: Shi, Wei, et al.
Published: (2026)
by: Shi, Wei, et al.
Published: (2026)
HGCN(O): A Self-Tuning GCN HyperModel Toolkit for Outcome Prediction in Event-Sequence Data
by: Wang, Fang, et al.
Published: (2025)
by: Wang, Fang, et al.
Published: (2025)
Ship in Sight: Diffusion Models for Ship-Image Super Resolution
by: Sigillo, Luigi, et al.
Published: (2024)
by: Sigillo, Luigi, et al.
Published: (2024)
Multi-Step Traffic Prediction for Multi-Period Planning in Optical Networks
by: Maryam, Hafsa, et al.
Published: (2024)
by: Maryam, Hafsa, et al.
Published: (2024)
Enhancing Multivariate Time Series Forecasting with Global Temporal Retrieval
by: Cao, Fanpu, et al.
Published: (2026)
by: Cao, Fanpu, et al.
Published: (2026)
Enhancing Multi-Step Brent Oil Price Forecasting with Ensemble Multi-Scenario Bi-GRU Networks
by: Alruqimi, Mohammed, et al.
Published: (2024)
by: Alruqimi, Mohammed, et al.
Published: (2024)
TraceSafe: A Systematic Assessment of LLM Guardrails on Multi-Step Tool-Calling Trajectories
by: Chen, Yen-Shan, et al.
Published: (2026)
by: Chen, Yen-Shan, et al.
Published: (2026)
A Policy Gradient-Based Sequence-to-Sequence Method for Time Series Prediction
by: Sima, Qi, et al.
Published: (2024)
by: Sima, Qi, et al.
Published: (2024)
Mini-Sequence Transformer: Optimizing Intermediate Memory for Long Sequences Training
by: Luo, Cheng, et al.
Published: (2024)
by: Luo, Cheng, et al.
Published: (2024)
Similar Items
-
Beyond the Next Port: A Multi-Task Transformer for Forecasting Future Voyage Segment Durations
by: Liu, Nairui, et al.
Published: (2026) -
Transformers Can Navigate Mazes With Multi-Step Prediction
by: Nolte, Niklas, et al.
Published: (2024) -
MSD-LLM: Predicting Ship Detention in Port State Control Inspections with Large Language Model
by: Jin, Jiongchao, et al.
Published: (2025) -
Retrieval-Augmented Water Level Forecasting for Everglades
by: Rangaraj, Rahuul, et al.
Published: (2025) -
Semantic Step Prediction: Multi-Step Latent Forecasting in LLM Reasoning Trajectories via Step Sampling
by: Yuan, Yidi
Published: (2026)