Lintao Ma
Lintao Ma has 2 papers in our library, in 2023–2026, most of them on Language models & pretraining; often with James Y. Zhang, Jie Sun, Jun Zhou.
OpenAlex · h-index 0 · 3 works · 0 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 78 times in our library · ⭐ Paper Stars ranking: #8385
Affiliations
Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 2 worksArts and Humanities · 1 workComputer Vision and Pattern Recognition · 1 workLanguage and Linguistics · 1 workSignal Processing · 1 work
🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 2 works
Works by year
2020s
Papers
- Time-LLM: Time Series Forecasting by Reprogramming Large Language Models (2023 · 77 citations)
Forecasting models for time series are usually built for a single task or domain. Pre-trained foundation models for this data type are scarce because large training collections are lacking. Time-LLM tackles this by adapting an existing large language model to forecasting while leaving all of its weights frozen. - SepSeq: A Training-Free Framework for Long Numerical Sequence Processing in LLMs (2026 · 1 citation)
Modern LLMs advertise very long context windows, yet they handle long sequences of numbers poorly. Tasks such as counting, filtering, or spotting trends need exact access to every value. The authors trace this failure to attention dispersion: as inputs grow, Softmax spreads attention over many similar numeric tokens…
Co-authors here
- James Y. Zhang
- Jie Sun
- Jun Zhou
- Ming Jin
- Pengfei Liu
- Pin-Yu Chen
- Qingsong Wen
- Shirui Pan
- Shiyu Wang
- Xiang Wang
- Xiaoming Shi
- Xingyu Lu
Venues
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
Cited by
Updated
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