Hope, Tom

MARG: Multi-Agent Review Generation for Scientific Papers

D'Arcy, M., Hope, T., Birnbaum, L., & Downey, D. (2024) · arXiv

Academic Writing and PublishingTopic Modeling

Cited by 9

What Can Natural Language Processing Do for Peer Review?

Kuznetsov, I., Afzal, O. M., Dercksen, K., Dycke, N., Goldberg, A., Hope, T., Hovy, D., Kummerfeld, J. K., Lauscher, A., Leyton-Brown, K., et al. (2024) · arXiv

Academic Writing and PublishingPublishing and Scholarly Communication

Cited by 6

ARIES: A Corpus of Scientific Paper Edits Made in Response to Peer Reviews

D’Arcy, M., Ross, A., Bransom, E., Kuehl, B., Bragg, J., Hope, T., & Downey, D. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Discourse Analysis in Language StudiesAcademic Writing and Publishing

Cited by 4

SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific Literature

Wadden, D., Shi, K., Morrison, J., Li, A., Naik, A., Singh, S., Barzilay, N., Lo, K., Hope, T., Soldaini, L., et al. (2025) · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 3

ARIES: A Corpus of Scientific Paper Edits Made in Response to Peer Reviews

D'Arcy, M., Ross, A., Bransom, E., Kuehl, B., Bragg, J., Hope, T., & Downey, D. (2023) · arXiv

Topic ModelingSoftware Engineering Research

Cited by 1