BidirLM: From Text to Omnimodal Bidirectional Encoders by Adapting and Composing Causal LLMs
Paper • 2604.02045 • Published • 39
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⚠️ Part of the BidirLM-Omni Collection > This dataset is a specific modality sub-sample of the corpus used to train the BidirLM-Omni models.
Looking for the full training mixture? > If you want to access the complete, balanced 1.8M sample omnimodal dataset (integrating text, image, audio), please visit the global integration hub here:
👉 BidirLM/BidirLM-Omni-Contrastive
If you use this processed dataset or the broader BidirLM mixture in your research, please cite our work:
@misc{boizard2026bidirlmtextomnimodalbidirectional,
title={BidirLM: From Text to Omnimodal Bidirectional Encoders by Adapting and Composing Causal LLMs},
author={Nicolas Boizard and Théo Deschamps-Berger and Hippolyte Gisserot-Boukhlef and Céline Hudelot and Pierre Colombo},
year={2026},
eprint={2604.02045},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2604.02045},
}