Kaj Bostrom

According to our database, Kaj Bostrom authored at least 8 papers between 2020 and 2023.

Collaborative distances:

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

2023

Lil-Bevo: Explorations of Strategies for Training Language Models in More Humanlike Ways.

Venkata Subrahmanyan Govindarajan, Juan Diego Rodriguez, Kaj Bostrom, Kyle Mahowald

CoRR, 2023

MuSR: Testing the Limits of Chain-of-thought with Multistep Soft Reasoning.

Zayne Sprague, Xi Ye, Kaj Bostrom, Swarat Chaudhuri, Greg Durrett

CoRR, 2023

Deductive Additivity for Planning of Natural Language Proofs.

Zayne Sprague, Kaj Bostrom, Swarat Chaudhuri, Greg Durrett

CoRR, 2023

2022

Natural Language Deduction with Incomplete Information.

Zayne Sprague, Kaj Bostrom, Swarat Chaudhuri, Greg Durrett

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

Natural Language Deduction through Search over Statement Compositions.

Kaj Bostrom, Zayne Sprague, Swarat Chaudhuri, Greg Durrett

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

Flexible Operations for Natural Language Deduction.

Kaj Bostrom, Xinyu Zhao, Swarat Chaudhuri, Greg Durrett

CoRR, 2021

Flexible Generation of Natural Language Deductions.

Kaj Bostrom, Xinyu Zhao, Swarat Chaudhuri, Greg Durrett

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Byte Pair Encoding is Suboptimal for Language Model Pretraining.

Kaj Bostrom, Greg Durrett

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020