Hwang, Jena D.

Social chemistry 101: Learning to reason about social and moral norms

Forbes, M., Hwang, J. D., Shwartz, V., Sap, M., & Choi, Y. (2020) · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

Psychology of Moral and Emotional JudgmentTopic Modeling

Cited by 169

Ai2 Scholar QA: Organized Literature Synthesis with Attribution

Singh, A., Chang, J. C., Haddad, D., Naik, A., Hwang, J. D., Kinney, R., Weld, D. S., Downey, D., & Feldman, S. (2025) · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)

Topic ModelingMeta-analysis and systematic reviews

Cited by 19

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

On-the-Fly Attention Modulation for Neural Generation

Dong, Y., Bhagavatula, C., Lu, X., Hwang, J. D., Bosselut, A., Cheung, J. C. K., & Choi, Y. (2021) · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021

Topic ModelingNatural Language Processing Techniques

Cited by 10

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