Brendon Boldt

According to our database, Brendon Boldt authored at least 13 papers between 2017 and 2026.

Collaborative distances:

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

2026

PRiSM: Benchmarking Phone Realization in Speech Models.

Shikhar Bharadwaj, Chin-Jou Li, Yoonjae Kim, Kwanghee Choi, Eunjung Yeo, Ryan Soh-Eun Shim, Hanyu Zhou, Brendon Boldt, Karen Rosero Jacome, Kalvin Chang, Darsh Agrawal, Keer Xu, Chao-Han Huck Yang, Jian Zhu, Shinji Watanabe, David R. Mortensen

CoRR, January, 2026

2025

Morpheme Induction for Emergent Language.

Brendon Boldt, David R. Mortensen

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Searching for the Most Human-like Emergent Language.

Brendon Boldt, David R. Mortensen

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

A Review of the Applications of Deep Learning-Based Emergent Communication.

Brendon Boldt, David R. Mortensen

Trans. Mach. Learn. Res., 2024

ELCC: the Emergent Language Corpus Collection.

Brendon Boldt, David R. Mortensen

CoRR, 2024

XferBench: a Data-Driven Benchmark for Emergent Language.

Brendon Boldt, David R. Mortensen

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

2022

Mathematically Modeling the Lexicon Entropy of Emergent Language.

Brendon Boldt, David R. Mortensen

CoRR, 2022

Recommendations for Systematic Research on Emergent Language.

Brendon Boldt, David R. Mortensen

CoRR, 2022

Modeling Emergent Lexicon Formation with a Self-Reinforcing Stochastic Process.

Brendon Boldt, David R. Mortensen

CoRR, 2022

2021

Case Study: Deontological Ethics in NLP.

Shrimai Prabhumoye, Brendon Boldt, Ruslan Salakhutdinov, Alan W. Black

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2018

Precise but Natural Specification for Robot Tasks.

Brendon Boldt, Ivan Gavran, Eva Darulova, Rupak Majumdar

CoRR, 2018

Detecting Compromised Implicit Association Test Results Using Supervised Learning.

Brendon Boldt, Zack While, Eric Breimer

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

2017

Using LSTMs to Model the Java Programming Language.

Brendon Boldt

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017