Manhph2211/PulseLM

PulseLM: A Foundation Dataset and Benchmark for PPG-Text Learning

Hung Manh Pham*   Jinyang Wu*   Xiao Ma   Yiming Zhang   Yixin Xu   Aaqib Saeed   Bin Zhu†   Zhou Pan†   Dong Ma†

* Equal contribution    † Corresponding authors

Quick Start

from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
import neurokit2 as nk

model = AutoModelForCausalLM.from_pretrained(
    "Manhph2211/PulseLM",
    trust_remote_code=True,
    dtype=torch.bfloat16,
    device_map="auto",
)
tokenizer = AutoTokenizer.from_pretrained("Manhph2211/PulseLM", trust_remote_code=True)
model.eval()

Citation

If you find this work useful, please consider citing our paper:

@misc{pham2026pulselmfoundationdatasetbenchmark,
      title={PulseLM: A Foundation Dataset and Benchmark for PPG-Text Learning}, 
      author={Hung Manh Pham and Jinyang Wu and Xiao Ma and Yiming Zhang and Yixin Xu and Aaqib Saeed and Bin Zhu and Zhou Pan and Dong Ma},
      year={2026},
      eprint={2603.03331},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2603.03331}, 

}