Research Publications
- Time-RA: Towards time series reasoning for anomaly with LLM feedback. (Yiyuan Yang, Zichuan Liu, Lei Song, Kai Ying, Zhiguang Wang, Tom Bamford, Svitlana Vyetrenko, Jiang Bian, Qingsong Wen. Submitted to ACL 2026)
- TS-Agent: A Time Series Reasoning Agent with Iterative Statistical Insight Gathering. (Liu, Fons, Vyetrenko, Borrajo, Potluru, Veloso; Neurips 2025 Workshop on Foundation of Reasoning in Language Models)
- Towards Interepretable Time Series Foundation Models (Boileau, Helluy, Pawlus and Vyetrenko; ICML 2025 Workshop on Foundation Models for Structured Data)
- Evaluating Large Language Models on Time Series Feature Understanding: A Comprehensive Taxonomy and Benchmark
(Fons, Kaur, Polande, Zeng, Balch, Veloso and Vyetrenko; EMNLP 2024)
- AI Analyst: Comprehensive Evaluation of Large Language Models for Financial Time Series Report Generation. (Fons, Kochkina, Kaur, Zeng, Hlavaty, Smiley, Vyetrenko, Veloso; preprint)
- Time-LLM: Time Series Forecasting by Reprogramming Large Language Models
(Jin, Wang, Ma, Chu, Zhang, Shi, Chen, Liang, Li, Pan and Wen; ICLR 2024)
- On the Constrained Time-Series Generation Problem
(Coletta, Gopalakrishnan, Borrajo and Vyetrenko; NeurIPS 2023)
- Multi-Modal Financial Time-Series Retrieval Through Latent Space Projections
(Bamford, Coletta, Fons, Gopalakrishnan, Vyetrenko, Balch and Veloso; ICAIF 2023 - Best Industry Paper Award)
- Transformers in Time Series: A Survey
(Wen, Zhou, Zhang, Chen, Ma, Yan and Sun; IJCAI 2023)