Cover Image

Rethinking Supply Chain Planning: A Generative Paradigm

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yin, Jiaheng, Qi, Yongzhi, Zhang, Jianshen, Geng, Dongyang, Chen, Zhengyu, Hu, Hao, Qi, Wei, Shen, Zuo-Jun Max
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ORPR: An OR-Guided Pretrain-then-Reinforce Learning Model for Inventory Management
by: Zhao, Lingjie, et al.
Published: (2025)

JD.com Improves Fulfillment Efficiency with Data-driven Integrated Assortment Planning and Inventory Allocation
by: Shen, Zuo-Jun Max, et al.
Published: (2025)

TimeHF: Billion-Scale Time Series Models Guided by Human Feedback
by: Qi, Yongzhi, et al.
Published: (2025)

Generative Probabilistic Planning for Optimizing Supply Chain Networks
by: Ahn, Hyung-il, et al.
Published: (2024)

sTransformer: A Modular Approach for Extracting Inter-Sequential and Temporal Information for Time-Series Forecasting
by: Yin, Jiaheng, et al.
Published: (2024)

Vibe AIGC: A New Paradigm for Content Generation via Agentic Orchestration
by: Liu, Jiaheng, et al.
Published: (2026)

PERP: Rethinking the Prune-Retrain Paradigm in the Era of LLMs
by: Zimmer, Max, et al.
Published: (2023)

RecLLM-R1: A Two-Stage Training Paradigm with Reinforcement Learning and Chain-of-Thought v1
by: Xie, Yu, et al.
Published: (2025)

Graph Foundation Models: Bridging Language Model Paradigms and Graph Optimization
by: Liang, Yunhao, et al.
Published: (2025)

Resilience Inference for Supply Chains with Hypergraph Neural Network
by: Shen, Zetian, et al.
Published: (2025)

SHIELD: LLM-Driven Schema Induction for Predictive Analytics in EV Battery Supply Chain Disruptions
by: Cheng, Zhi-Qi, et al.
Published: (2024)

Supply Chain Optimization via Generative Simulation and Iterative Decision Policies
by: Bai, Haoyue, et al.
Published: (2025)

Deconstructing Long Chain-of-Thought: A Structured Reasoning Optimization Framework for Long CoT Distillation
by: Luo, Yijia, et al.
Published: (2025)

Proof of Quality: A Costless Paradigm for Trustless Generative AI Model Inference on Blockchains
by: Zhang, Zhenjie, et al.
Published: (2024)

PROPEL: Supervised and Reinforcement Learning for Large-Scale Supply Chain Planning
by: Akhlaghi, Vahid Eghbal, et al.
Published: (2025)

Divide and Conquer: Rethinking the Training Paradigm of Neural Radiance Fields
by: Ma, Rongkai, et al.
Published: (2024)

End-To-End Planning of Autonomous Driving in Industry and Academia: 2022-2023
by: Lan, Gongjin, et al.
Published: (2023)

Rethinking Chain-of-Thought Reasoning for Videos
by: Zhong, Yiwu, et al.
Published: (2025)

Retrieving, Rethinking and Revising: The Chain-of-Verification Can Improve Retrieval Augmented Generation
by: He, Bolei, et al.
Published: (2024)

Position: Emergent Machina Sapiens Urge Rethinking Multi-Agent Paradigms
by: Li, Hepeng, et al.
Published: (2025)

From Sentences to Sequences: Rethinking Languages in Biological System
by: Liu, Ke, et al.
Published: (2025)

Plan before Solving: Problem-Aware Strategy Routing for Mathematical Reasoning with LLMs
by: Qi, Shihao, et al.
Published: (2025)

Reinforcement Learning for Multi-Objective Multi-Echelon Supply Chain Optimisation
by: Rachman, Rifny, et al.
Published: (2025)

Supply-Chain Poisoning Attacks Against LLM Coding Agent Skill Ecosystems
by: Qu, Yubin, et al.
Published: (2026)

Large Language Models for Supply Chain Decisions
by: Simchi-Levi, David, et al.
Published: (2025)

Anchored Cyclic Generation: A Novel Paradigm for Long-Sequence Symbolic Music Generation
by: Cao, Boyu, et al.
Published: (2026)

A Multi-To-One Interview Paradigm for Efficient MLLM Evaluation
by: Shen, Ye, et al.
Published: (2025)

Rethinking the Chain-of-Thought: The Roles of In-Context Learning and Pre-trained Priors
by: Yang, Hao, et al.
Published: (2025)

PathCoT: Chain-of-Thought Prompting for Zero-shot Pathology Visual Reasoning
by: Zhou, Junjie, et al.
Published: (2025)

Labels Matter More Than Models: Rethinking the Unsupervised Paradigm in Time Series Anomaly Detection
by: Zhong, Zhijie, et al.
Published: (2025)

The Pensieve Paradigm: Stateful Language Models Mastering Their Own Context
by: Liu, Xiaoyuan, et al.
Published: (2026)

Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMs
by: Xia, Yu, et al.
Published: (2024)

L3M+P: Lifelong Planning with Large Language Models
by: Agarwal, Krish, et al.
Published: (2025)

Investigating Security Implications of Automatically Generated Code on the Software Supply Chain
by: Li, Xiaofan, et al.
Published: (2025)

LLMs for Supply Chain Management
by: Wang, Haojie, et al.
Published: (2025)

Large Language Model Supply Chain: Open Problems From the Security Perspective
by: Hu, Qiang, et al.
Published: (2024)

GNN-based Probabilistic Supply and Inventory Predictions in Supply Chain Networks
by: Ahn, Hyung-il, et al.
Published: (2024)

Rethink Deep Learning with Invariance in Data Representation
by: Qi, Shuren, et al.
Published: (2024)

Robot Collapse: Supply Chain Backdoor Attacks Against VLM-based Robotic Manipulation
by: Wang, Xianlong, et al.
Published: (2024)

Integrating Large Language Models with Network Optimization for Interactive and Explainable Supply Chain Planning: A Real-World Case Study
by: Venkatachalam, Saravanan
Published: (2025)