Cover Image

Moirai 2.0: When Less Is More for Time Series Forecasting

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Chenghao, Aksu, Taha, Liu, Juncheng, Liu, Xu, Yan, Hanshu, Pham, Quang, Savarese, Silvio, Sahoo, Doyen, Xiong, Caiming, Li, Junnan
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts
by: Liu, Xu, et al.
Published: (2024)

GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation
by: Aksu, Taha, et al.
Published: (2024)

Empowering Time Series Analysis with Synthetic Data: A Survey and Outlook in the Era of Foundation Models
by: Liu, Xu, et al.
Published: (2025)

XForecast: Evaluating Natural Language Explanations for Time Series Forecasting
by: Aksu, Taha, et al.
Published: (2024)

Unified Training of Universal Time Series Forecasting Transformers
by: Woo, Gerald, et al.
Published: (2024)

UniTST: Effectively Modeling Inter-Series and Intra-Series Dependencies for Multivariate Time Series Forecasting
by: Liu, Juncheng, et al.
Published: (2024)

INDICT: Code Generation with Internal Dialogues of Critiques for Both Security and Helpfulness
by: Le, Hung, et al.
Published: (2024)

Reward-Guided Speculative Decoding for Efficient LLM Reasoning
by: Liao, Baohao, et al.
Published: (2025)

CodeTree: Agent-guided Tree Search for Code Generation with Large Language Models
by: Li, Jierui, et al.
Published: (2024)

PerfCodeGen: Improving Performance of LLM Generated Code with Execution Feedback
by: Peng, Yun, et al.
Published: (2024)

MCP-Universe: Benchmarking Large Language Models with Real-World Model Context Protocol Servers
by: Luo, Ziyang, et al.
Published: (2025)

Scalable Chain of Thoughts via Elastic Reasoning
by: Xu, Yuhui, et al.
Published: (2025)

Entropy-Based Block Pruning for Efficient Large Language Models
by: Yang, Liangwei, et al.
Published: (2025)

GPA: Learning GUI Process Automation from Demonstrations
by: Zhao, Zirui, et al.
Published: (2026)

Fractured Chain-of-Thought Reasoning
by: Liao, Baohao, et al.
Published: (2025)

Enabling High Data Throughput Reinforcement Learning on GPUs: A Domain Agnostic Framework for Data-Driven Scientific Research
by: Lan, Tian, et al.
Published: (2024)

Automatic Curriculum Expert Iteration for Reliable LLM Reasoning
by: Zhao, Zirui, et al.
Published: (2024)

Rethinking Tokenization for Clinical Time Series: When Less is More
by: Attrach, Rafi Al, et al.
Published: (2025)

Shared Imagination: LLMs Hallucinate Alike
by: Zhou, Yilun, et al.
Published: (2024)

Toto 2.0: Time Series Forecasting Enters the Scaling Era
by: Khwaja, Emaad, et al.
Published: (2026)

Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting
by: Liu, Qingxiang, et al.
Published: (2024)

Test-Time Adaptation for LLM Agents via Environment Interaction
by: Chen, Arthur, et al.
Published: (2025)

Asynchronous Tool Usage for Real-Time Agents
by: Ginart, Antonio A., et al.
Published: (2024)

ViUniT: Visual Unit Tests for More Robust Visual Programming
by: Panagopoulou, Artemis, et al.
Published: (2024)

Reasoning Curriculum: Bootstrapping Broad LLM Reasoning from Math
by: Pang, Bo, et al.
Published: (2025)

Granular Change Accuracy: A More Accurate Performance Metric for Dialogue State Tracking
by: Aksu, Taha, et al.
Published: (2024)

CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval
by: Liu, Ye, et al.
Published: (2024)

When Less Is More.
by: Lettis, Lucy
Published: (1998)

AAA + protein unfoldases—the Moirai of the proteome
by: Stavros Azinas, et al.
Published: (2026)

A Minimalist Approach to LLM Reasoning: from Rejection Sampling to Reinforce
by: Xiong, Wei, et al.
Published: (2025)

Active Video Perception: Iterative Evidence Seeking for Agentic Long Video Understanding
by: Wang, Ziyang, et al.
Published: (2025)

W&D:Scaling Parallel Tool Calling for Efficient Deep Research Agents
by: Lin, Xiaoqiang, et al.
Published: (2026)

When Less is More: The LLM Scaling Paradox in Context Compression
by: Guo, Ruishan, et al.
Published: (2026)

DyMU: Dynamic Merging and Virtual Unmerging for Efficient VLMs
by: Wang, Zhenhailong, et al.
Published: (2025)

BOLT: Bootstrap Long Chain-of-Thought in Language Models without Distillation
by: Pang, Bo, et al.
Published: (2025)

Strefer: Empowering Video LLMs with Space-Time Referring and Reasoning via Synthetic Instruction Data
by: Zhou, Honglu, et al.
Published: (2025)

Less is More: Unlocking Specialization of Time Series Foundation Models via Structured Pruning
by: Zhao, Lifan, et al.
Published: (2025)

Moonshot: Towards Controllable Video Generation and Editing with Multimodal Conditions
by: Zhang, David Junhao, et al.
Published: (2024)

More Thinking, Less Seeing? Assessing Amplified Hallucination in Multimodal Reasoning Models
by: Liu, Chengzhi, et al.
Published: (2025)

When Less Is More: A Sparse Facial Motion Structure For Listening Motion Learning
by: Nguyen, Tri Tung Nguyen, et al.
Published: (2025)