Bogin, Ben

Diverse Demonstrations Improve In-context Compositional Generalization

Levy, I., Bogin, B., & Berant, J. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Natural Language Processing TechniquesTopic Modeling

Cited by 66

Dolma: an open corpus of three trillion tokens for language model pretraining research

Soldaini, L., Kinney, R., Bhagia, A., Schwenk, D., Atkinson, D., Authur, R., Bogin, B., Chandu, K., Dumas, J., Elazar, Y., et al. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 56

Answering Questions by Meta-Reasoning over Multiple Chains of Thought

Yoran, O., Wolfson, T., Bogin, B., Katz, U., Deutch, D., & Berant, J. (2023) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 38

AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks?

Yoran, O., Amouyal, S. J., Malaviya, C., Bogin, B., Press, O., & Berant, J. (2024) · arXiv

Information Retrieval and Search BehaviorWeb Data Mining and Analysis

Cited by 11

Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research

Soldaini, L., Kinney, R., Bhagia, A., Schwenk, D., Atkinson, D., Authur, R., Bogin, B., Chandu, K., Dumas, J., Elazar, Y., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 10

SUPER: Evaluating Agents on Setting Up and Executing Tasks from Research Repositories

Bogin, B., Yang, K., Gupta, S., Richardson, K., Bransom, E., Clark, P., Sabharwal, A., & Khot, T. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Natural Language Processing TechniquesTopic Modeling

Cited by 9

DataDecide: How to Predict Best Pretraining Data with Small Experiments

Magnusson, I., Tai, N., Bogin, B., Heineman, D., Hwang, J. D., Soldaini, L., Bhagia, A., Liu, J., Groeneveld, D., Tafjord, O., et al. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1

SUPER: Evaluating Agents on Setting Up and Executing Tasks from Research Repositories

Bogin, B., Yang, K., Gupta, S., Richardson, K., Bransom, E., Clark, P., Sabharwal, A., & Khot, T. (2024) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 0