Smith, Noah A.
Allen Institute for Artificial Intelligence
8 papers on CoChatORCID 0000-0002-2387-9789
Most cited papers
- Verified
Green AI
Schwartz, R., Dodge, J., Smith, N. A., & Etzioni, O. (2019) · arXiv
Green IT and SustainabilityEnergy Efficiency in Computing
Cited by 73
- Verified
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models
Deitke, M., Clark, C., Lee, S., Tripathi, R., Yang, Y., Park, J. S., Salehi, M., Muennighoff, N., Lo, K., Soldaini, L., et al. (2024) · arXiv
Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications
Cited by 67
- Verified
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models
Deitke, M., Clark, C., Lee, S., Tripathi, R., Yang, Y., Park, J. S., Salehi, M., Muennighoff, N., Lo, K., Soldaini, L., et al. (2025) · 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications
Cited by 67
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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
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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. (2025) · Findings of the Association for Computational Linguistics: NAACL 2025
Natural Language Processing TechniquesTopic Modeling
Cited by 13
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TÜLU 3: Pushing Frontiers in Open Language Model Post-Training
Lambert, N., Morrison, J., Pyatkin, V., Huang, S., Ivison, H., Brahman, F., Miranda, L. J. V., Liu, A., Dziri, N., Lyu, S., et al. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 12
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Paloma: A Benchmark for Evaluating Language Model Fit
Magnusson, I., Bhagia, A., Hofmann, V., Soldaini, L., Jha, A. H., Tafjord, O., Schwenk, D., Walsh, E. P., Elazar, Y., Lo, K., et al. (2023) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 1
- Verified
RewardBench 2: Advancing Reward Model Evaluation
Malik, S., Pyatkin, V., Land, S., Morrison, J., Smith, N. A., Hajishirzi, H., & Lambert, N. (2025) · arXiv
Natural Language Processing TechniquesTopic Modeling
Cited by 1
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