| Case study: Deontological ethics in NLP S Prabhumoye, B Boldt, R Salakhutdinov, AW Black arXiv preprint arXiv:2010.04658, 2020 | 24 | 2020 |
| Using LSTMs to model the Java programming language B Boldt International Conference on Artificial Neural Networks, 268-275, 2017 | 7 | 2017 |
| Aesthetics versus entropy in source code R Coleman, B Boldt Proceedings of the International Conference on Software Engineering Research …, 2017 | 6 | 2017 |
| Detecting compromised Implicit Association Test results using supervised learning B Boldt, Z While, E Breimer 2018 17th IEEE International Conference on Machine Learning and Applications …, 2018 | 4 | 2018 |
| A Review of the Applications of Deep Learning-Based Emergent Communication B Boldt, D Mortensen arXiv preprint arXiv:2407.03302, 2024 | 2 | 2024 |
| Precise but natural specification for robot tasks I Gavran, B Boldt, E Darulova, R Majumdar arXiv preprint arXiv:1803.02238, 2018 | 2 | 2018 |
| Recommendations for systematic research on emergent language B Boldt, D Mortensen arXiv preprint arXiv:2206.11302, 2022 | 1 | 2022 |
| ELCC: the Emergent Language Corpus Collection B Boldt, D Mortensen arXiv preprint arXiv:2407.04158, 2024 | | 2024 |
| XferBench: a Data-Driven Benchmark for Emergent Language B Boldt, D Mortensen arXiv preprint arXiv:2407.03456, 2024 | | 2024 |
| Mathematically Modeling the Lexicon Entropy of Emergent Language B Boldt, D Mortensen arXiv preprint arXiv:2211.15783, 2022 | | 2022 |
| Modeling Emergent Lexicon Formation with a Self-Reinforcing Stochastic Process B Boldt, D Mortensen arXiv preprint arXiv:2206.11146, 2022 | | 2022 |
| Shaped Rewards Bias Emergent Language B Boldt, Y Bisk, DR Mortensen | | |
Alan W BlackProfessor, Language Technologies Institute, Carnegie Mellon UniversityVerified email at cs.cmu.edu
