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  1. Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting
    2023/10/12 by Kashif Rasul, Arjun Ashok, Rasul, Kashif +30 · 48 citations
    Decision Sciences · Computer Science · #Stock Market Forecasting Methods #Time Series Analysis and Forecasting #Forecasting Techniques and Applications
  2. Reinforcing Multi-Turn Reasoning in LLM Agents via Turn-Level Reward Design
    2025/05/17 by Siliang Zeng, Wei, Quan, Chenliang Li +17 · 37 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Speech and dialogue systems #Topic Modeling
  3. Empowering Time Series Analysis with Large Language Models: A Survey
    2024/02/05 by Yushan Jiang, Zijie Pan, Jiang, Yushan +11 · 10 citations
    Computer Science · #Advanced Text Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Time Series Analysis and Forecasting
  4. S2IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting
    2024/03/09 by Zijie Pan, Pan, Zijie, Yushan Jiang +9 · 6 citations
    Computer Science · Decision Sciences · #Advanced Text Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Stock Market Forecasting Methods #Time Series Analysis and Forecasting
  5. Modeling Temporal Data as Continuous Functions with Stochastic Process Diffusion
    2022/11/04 by Marin Biloš, Kashif Rasul, Biloš, Marin +7 · 4 citations
    Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Neural Networks and Applications #Time Series Analysis and Forecasting
  6. Multi-modal Time Series Analysis: A Tutorial and Survey
    2025/03/17 by Jiang, Yushan, Ning, Kanghui, Pan, Zijie +7 · 11 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  7. TS-RAG: Retrieval-Augmented Generation based Time Series Foundation Models are Stronger Zero-Shot Forecaster
    2025/03/06 by Kanghui Ning, Zijie Pan, Ning, Kanghui +17 · 9 citations
    Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Stock Market Forecasting Methods #Time Series Analysis and Forecasting
  8. Structural Knowledge Informed Continual Multivariate Time Series Forecasting
    2024/02/20 by Zijie Pan, Yushan Jiang, Pan, Zijie +11 · 2 citations
    Computer Science · Decision Sciences · #FOS: Computer and information sciences #Forecasting Techniques and Applications #Machine Learning (cs.LG) #Stock Market Forecasting Methods #Time Series Analysis and Forecasting
  9. Do price trajectory data increase the efficiency of market impact estimation?
    2022/05/26 by Fengpei Li, Vitalii Ihnatiuk, Li, Fengpei +7 · 1 citation
    Economics, Econometrics and Finance · #Economic Policies and Impacts #FOS: Economics and business #Financial Markets and Investment Strategies #Monetary Policy and Economic Impact #Trading and Market Microstructure (q-fin.TR)
  10. Inference and Sampling of Point Processes from Diffusion Excursions
    2023/06/01 by Hasan, Ali, Chen, Yu, Ng, Yuting +3 · 1 citation
    #Computation (stat.CO) #FOS: Computer and information sciences #Machine Learning (stat.ML) #Methodology (stat.ME)
  11. Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series Imputation
    2023/05/12 by Yu Chen, Wei Deng, Chen, Yu +17 · 1 citation
    Computer Science · Neuroscience · #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Music and Audio Processing #Neuroscience and Music Perception
  12. Improving Reasoning for Diffusion Language Models via Group Diffusion Policy Optimization
    2025/10/09 by Kevin Rojas, Rojas, Kevin, Jiahe Lin +11 · 7 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Reinforcement Learning in Robotics
  13. Understanding the Mixture-of-Experts with Nadaraya-Watson Kernel
    2025/09/30 by Zheng, Chuanyang, Sun, Jiankai, Gao, Yihang +13 · 3 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  14. Privacy Amplification by Structured Subsampling for Deep Differentially Private Time Series Forecasting
    2025/02/04 by Schuchardt, Jan, Dalirrooyfard, Mina, Guzelkabaagac, Jed +3 · 1 citation
    #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)