publications

2025

1. COLM

   Stop-Think-AutoRegress: Language Modeling with Latent Diffusion Planning

   Justin Lovelace, Christian Belardi, Sofian Zalouk, and 3 more authors

   Conference on Language Modeling (COLM), 2025

   (To Appear)

   Bib

   @article{lovelace2025stopthink,
     title = {{Stop-Think-AutoRegress}: Language Modeling with Latent Diffusion Planning},
     author = {Lovelace, Justin and Belardi, Christian and Zalouk, Sofian and Polavaram, Adhitya and Kundurthy, Srivatsa and Weinberger, Kilian Q},
     journal = {Conference on Language Modeling (COLM)},
     year = {2025},
     note = {(To Appear)},
   }

2. CV4MS@ICCV

   Improving Multislice Electron Ptychography with a Generative Prior

   Christian Belardi, Chia-Hao Lee, Yingheng Wang, and 4 more authors

   In Computer Vision for Materials Science Workshop (CV4MS) at ICCV, 2025

   Bib

   @inproceedings{belardi2025improving,
     title = {Improving Multislice Electron Ptychography with a Generative Prior},
     author = {Belardi, Christian and Lee, Chia-Hao and Wang, Yingheng and Lovelace, Justin and Weinberger, Kilian Q and Muller, David and Gomes, Carla},
     booktitle = {Computer Vision for Materials Science Workshop (CV4MS) at ICCV},
     year = {2025}
   }

3. ArXiv

   Pre-training Large Memory Language Models with Internal and External Knowledge

   Linxi Zhao, Sofian Zalouk, Christian Belardi, and 5 more authors

   ArXiv Preprint, 2025

   Bib Paper

   @article{zhao2025pretraining,
     title = {Pre-training Large Memory Language Models with Internal and External Knowledge},
     author = {Zhao, Linxi and Zalouk, Sofian and Belardi, Christian and Lovelace, Justin and Zhou, Jin Peng and Weinberger, Kilian Q and Artzi, Yoav and Sun, Jennifer},
     journal = {ArXiv Preprint},
     year = {2025},
     paper = {https://arxiv.org/abs/2505.15962}
   }

2024

1. Interspeech

   Sample-Efficient Diffusion for Text-To-Speech Synthesis

   Justin Lovelace, Soham Ray, Kwangyoun Kim, and 2 more authors

   Interspeech, 2024

   Bib Paper

   @article{lovelace2024sampleefficient,
     title = {Sample-Efficient Diffusion for Text-To-Speech Synthesis},
     author = {Lovelace, Justin and Ray, Soham and Kim, Kwangyoun and Weinberger, Kilian Q and Wu, Felix},
     journal = {Interspeech},
     year = {2024},
     paper = {https://arxiv.org/abs/2409.03717}
   }

2. ACL Findings

   Diffusion Guided Language Modeling

   Justin Lovelace, Varsha Kishore, Yiwei Chen, and 1 more author

   Findings of the Annual Meeting of the Association for Computational Linguistics (Findings of ACL), 2024

   Bib Paper

   @article{lovelace2024diffusion,
     title = {Diffusion Guided Language Modeling},
     author = {Lovelace, Justin and Kishore, Varsha and Chen, Yiwei and Weinberger, Kilian Q},
     journal = {Findings of the Annual Meeting of the Association for Computational Linguistics (Findings of ACL)},
     year = {2024},
     paper = {https://arxiv.org/abs/2408.04220}
   }

2023

1. NeurIPS

   Latent Diffusion for Language Generation

   Justin Lovelace, Varsha Kishore, Chao Wan, and 2 more authors

   Conference on Neural Information Processing Systems (NeurIPS), 2023

   Bib Paper

   @article{lovelace2023latent,
     title = {Latent Diffusion for Language Generation},
     author = {Lovelace, Justin and Kishore, Varsha and Wan, Chao and Shekhtman, Eliot and Weinberger, Kilian Q},
     journal = {Conference on Neural Information Processing Systems (NeurIPS)},
     year = {2023},
     paper = {https://arxiv.org/abs/2212.09462}
   }

2. ICML

   IncDSI: Incrementally Updatable Document Retrieval

   Varsha Kishore, Chao Wan, Justin Lovelace, and 2 more authors

   International Conference on Machine Learning (ICML), 2023

   arXiv Bib Paper

   @article{kishore2023incdsi,
     title = {IncDSI: Incrementally Updatable Document Retrieval},
     author = {Kishore, Varsha and Wan, Chao and Lovelace, Justin and Artzi, Yoav and Weinberger, Kilian Q},
     journal = {International Conference on Machine Learning (ICML)},
     year = {2023},
     paper = {https://arxiv.org/abs/2307.10323}
   }

2022

1. EMNLP

   A Framework For Adapting Pre-Trained Language Models to Knowledge Graph Completion

   Justin Lovelace and Carolyn Rosé

   Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022

   Bib Paper

   @article{lovelace2022framework,
     title = {A Framework For Adapting Pre-Trained Language Models to Knowledge Graph Completion},
     author = {Lovelace, Justin and Rosé, Carolyn},
     journal = {Conference on Empirical Methods in Natural Language Processing (EMNLP)},
     year = {2022},
     paper = {https://aclanthology.org/2022.emnlp-main.398/}
   }

2021

1. ACL-IJCNLP

   Robust Knowledge Graph Completion with Stacked Convolutions and a Student Re-Ranking Network

   Justin Lovelace, Denis Newman-Griffis, Shikhar Vashishth, and 2 more authors

   Annual Meeting of the Association for Computational Linguistics and the International Joint Conference on Natural Language Processing (ACL-IJCNLP), 2021

   Bib Paper

   @article{lovelace2021robust,
     title = {Robust Knowledge Graph Completion with Stacked Convolutions and a Student Re-Ranking Network},
     author = {Lovelace, Justin and Newman-Griffis, Denis and Vashishth, Shikhar and Lehman, Jill Fain and Rosé, Carolyn},
     journal = {Annual Meeting of the Association for Computational Linguistics and the International Joint Conference on Natural Language Processing (ACL-IJCNLP)},
     year = {2021},
     paper = {https://arxiv.org/abs/2106.06555}
   }

2020

1. EMNLP Findings

   Learning to Generate Clinically Coherent Chest X-Ray Reports

   Justin Lovelace and Bobak Mortazavi

   Findings of the Conference on Empirical Methods in Natural Language Processing (Findings of EMNLP), 2020

   Bib Paper

   @article{lovelace2020learning,
     title = {Learning to Generate Clinically Coherent Chest X-Ray Reports},
     author = {Lovelace, Justin and Mortazavi, Bobak},
     journal = {Findings of the Conference on Empirical Methods in Natural Language Processing (Findings of EMNLP)},
     year = {2020},
     paper = {https://aclanthology.org/2020.findings-emnlp.110/}
   }

2. MLHC

   Dynamically Extracting Outcome-Specific Problem Lists from Clinical Notes with Guided Multi-Headed Attention

   Justin Lovelace, Nathan C Hurley, Adrian Haimovich, and 1 more author

   Machine Learning for Healthcare Conference (MLHC), 2020

   Bib Paper

   @article{lovelace2020dynamically,
     title = {Dynamically Extracting Outcome-Specific Problem Lists from Clinical Notes with Guided Multi-Headed Attention},
     author = {Lovelace, Justin and Hurley, Nathan C and Haimovich, Adrian and Mortazavi, Bobak},
     journal = {Machine Learning for Healthcare Conference (MLHC)},
     year = {2020},
     paper = {https://arxiv.org/abs/2008.01197}
   }