Smith, Noah A.

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

RewardBench: Evaluating Reward Models for Language Modeling

Lambert, N., Pyatkin, V., Morrison, J., Miranda, L., Lin, B. Y., Chandu, K., Dziri, N., Kumar, S., Zick, T., Choi, Y., et al. (2024) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 5

We're Afraid Language Models Aren't Modeling Ambiguity

Liu, A., Wu, Z., Michael, J., Suhr, A., West, P., Koller, A., Swayamdipta, S., Smith, N. A., & Choi, Y. (2023) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 3

2 OLMo 2 Furious

OLMo, T., Walsh, P., Soldaini, L., Groeneveld, D., Lo, K., Arora, S., Bhagia, A., Gu, Y., Huang, S., Jordan, M., et al. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 2

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

A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers

Dasigi, P., Lo, K., Beltagy, I., Cohan, A., Smith, N. A., & Gardner, M. (2021) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 0

Signal and Noise: A Framework for Reducing Uncertainty in Language Model Evaluation

Heineman, D., Hofmann, V., Magnusson, I., Gu, Y., Smith, N. A., Hajishirzi, H., Lo, K., & Dodge, J. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0