Justin Lovelace

According to our database, Justin Lovelace authored at least 7 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Sample-Efficient Diffusion for Text-To-Speech Synthesis.

Justin Lovelace, Soham Ray, Kwangyoun Kim, Kilian Q. Weinberger, Felix Wu

CoRR, 2024

Diffusion Guided Language Modeling.

Justin Lovelace, Varsha Kishore, Yiwei Chen, Kilian Q. Weinberger

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Latent Diffusion for Language Generation.

Justin Lovelace, Varsha Kishore, Chao Wan, Eliot Shekhtman, Kilian Q. Weinberger

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

IncDSI: Incrementally Updatable Document Retrieval.

Varsha Kishore, Chao Wan, Justin Lovelace, Yoav Artzi, Kilian Q. Weinberger

Proceedings of the International Conference on Machine Learning, 2023

2022

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

Justin Lovelace, Carolyn P. Rosé

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

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

Justin Lovelace, Denis Newman-Griffis, Shikhar Vashishth, Jill Fain Lehman, Carolyn P. Rosé

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Team JARS: DialDoc Subtask 1 - Improved Knowledge Identification with Supervised Out-of-Domain Pretraining.

Sopan Khosla, Justin Lovelace, Ritam Dutt, Adithya Pratapa

Proceedings of the 1st Workshop on Document-grounded Dialogue and Conversational Question Answering, 2021