Ming Jin
- Papers
- 10
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Authored papers
10Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting
arXiv 2025
StyleBench: Evaluating thinking styles in Large Language Models
arXiv 2025
LLMs Can Plan Only If We Tell Them
arXiv 2025
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts
arXiv 2024
TeaMs-RL: Teaching LLMs to Generate Better Instruction Datasets via Reinforcement Learning
arXiv 2024
Data-Centric Human Preference Optimization with Rationales
arXiv 2024
Towards Neural Scaling Laws for Time Series Foundation Models
arXiv 2024
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection
arXiv 2023
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects
arXiv 2023
WeaverBird: Empowering Financial Decision-Making with Large Language Model, Knowledge Base, and Search Engine
arXiv 2023
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