Multi-Modal Forecaster: Jointly Predicting Time Series and Textual Data

General exponential smoothing and the equivalent arma process

ED McKenzie · 1984

Earlier work this paper cites.

ROUGE: A package for automatic evaluation of summaries

Chin-Yew Lin · 2004

Earlier work this paper cites.

METEOR: An automatic metric for MT evaluation with improved correlation with human judgments

Satanjeev Banerjee and Alon Lavie · 2005

Earlier work this paper cites.

Enhancing the locality and breaking the memory bottleneck of transformer on time series forecasting

Shiyang Li, Xiaoyong Jin, Yao Xuan, Xiyou Zhou, Wenhu Chen, Yu-Xiang Wang, and Xifeng Yan · 2019

Earlier work this paper cites.

Textual data for time series forecasting

Original

David Obst, Badih Ghattas, Sandra Claudel, Jairo Cugliari, Yannig Goude, and Georges Oppenheim · 2019

Earlier work this paper cites.

N-beats: Neural basis expansion analysis for interpretable time series forecasting

Boris N Oreshkin, Dmitri Carpov, Nicolas Chapados, and Yoshua Bengio · 2019

Earlier work this paper cites.

Evaluation of statistical and machine learning models for time series prediction: Identifying the state-of-the-art and the best conditions for the use of each model

Antonio Rafael Sabino Parmezan, Vinicius M.A. Souza, and Gustavo E.A.P.A. Batista · 2019

Earlier work this paper cites.

Language models are few-shot learners

Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 2020

Earlier work this paper cites.

Deepar: Probabilistic forecasting with autoregressive recurrent networks

David Salinas, Valentin Flunkert, Jan Gasthaus, and Tim Januschowski · 2020

Earlier work this paper cites.

Lora: Low-rank adaptation of large language models

Original

Edward J Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, and Weizhu Chen · 2021

Earlier work this paper cites.

Pyraformer: Low-complexity pyramidal attention for long-range time series modeling and forecasting

Shizhan Liu, Hang Yu, Cong Liao, Jianguo Li, Weiyao Lin, Alex X Liu, and Schahram Dustdar · 2021

Earlier work this paper cites.

Autoformer: Decomposition transformers with auto-correlation for long-term series forecasting

Haixu Wu, Jiehui Xu, Jianmin Wang, and Mingsheng Long · 2021

Cited alongside, same era.

Informer: Beyond efficient transformer for long sequence time-series forecasting

Haoyi Zhou, Shanghang Zhang, Jieqi Peng, Shuai Zhang, Jianxin Li, Hui Xiong, and Wancai Zhang · 2021

Cited alongside, same era.

Vector autoregressive models for multivariate time series

Eric Zivot and Jiahui Wang · 2021

Cited alongside, same era.

Multimodal neural network for demand forecasting

Nitesh Kumar, Kumar Dheenadayalan, Suprabath Reddy, and Sumant Kulkarni · 2022

Cited alongside, same era.

A time series is worth 64 words: Long-term forecasting with transformers

Yuqi Nie, Nam H Nguyen, Phanwadee Sinthong, and Jayant Kalagnanam · 2022

Cited alongside, same era.

Koopman neural operator forecaster for time-series with temporal distributional shifts

Time-llm: Time series forecasting by reprogramming large language models

Original

Ming Jin, Shiyu Wang, Lintao Ma, Zhixuan Chu, James Y Zhang, Xiaoming Shi, Pin-Yu Chen, Yuxuan Liang, Yuan-Fang Li, Shirui Pan, et al · 2023

Later among the works it cites.

Llama: Open and efficient foundation language models

Original

Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, et al · 2023

Later among the works it cites.

Learning deep time-index models for time series forecasting

Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, and Steven Hoi · 2023

Later among the works it cites.

Are transformers effective for time series forecasting?

Ailing Zeng, Muxi Chen, Lei Zhang, and Qiang Xu · 2023

Later among the works it cites.

One fits all: Power general time series analysis by pretrained lm

Tian Zhou, Peisong Niu, Xue Wang, Liang Sun, and Rong Jin · 2023