Morrison, Jacob
University of Washington · Allen Institute for Artificial Intelligence
10 papers on CoChatORCID 0000-0001-8592-4744
Most cited papers
- Verified
OLMo: Accelerating the Science of Language Models
Groeneveld, D., Beltagy, I., Walsh, E., Bhagia, A., Kinney, R., Tafjord, O., Jha, A., Ivison, H., Magnusson, I., Wang, 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 70
- Verified
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
- Verified
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
- Verified
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
- Verified
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
- Verified
OLMo: Accelerating the Science of Language Models
Groeneveld, D., Beltagy, I., Walsh, P., Bhagia, A., Kinney, R., Tafjord, O., Jha, A. H., Ivison, H., Magnusson, I., Wang, Y., et al. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 10
- Verified
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
- Verified
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
- Verified
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
- 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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