Wang, Tianlu

Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints

Zhao, J., Wang, T., Yatskar, M., Ordonez, V., & Chang, K.-W. (2017) · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing

Ethics and Social Impacts of AIAdvanced Neural Network Applications

Cited by 829

Gender bias in coreference resolution: Evaluation and debiasing methods

Zhao, J., Wang, T., Yatskar, M., Ordonez, V., & Chang, K.-W. (2018) · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)

Natural Language Processing TechniquesEthics and Social Impacts of AI

Cited by 684

OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization

Iyer, S., Lin, X. V., Pasunuru, R., Mihaylov, T., Simig, D., Yu, P., Shuster, K., Wang, T., Liu, Q., Koura, P. S., et al. (2022) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 81

Selective annotation makes language models better few-shot learners

Su, H., Kasai, J., Wu, C. H., Shi, W., Wang, T., Xin, J., Zhang, R., Ostendorf, M., Zettlemoyer, L., Smith, N. A., et al. (2022) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 70

Contextual Position Encoding: Learning to Count What's Important

Golovneva, O., Wang, T., Weston, J., & Sukhbaatar, S. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 5

Shepherd: A Critic for Language Model Generation

Wang, T., Yu, P., Tan, X. E., O'Brien, S., Pasunuru, R., Dwivedi-Yu, J., Golovneva, O., Zettlemoyer, L., Fazel-Zarandi, M., & Celikyilmaz, A. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 5

The ART of LLM Refinement: Ask, Refine, and Trust

Shridhar, K., Sinha, K., Cohen, A., Wang, T., Yu, P., Pasunuru, R., Sachan, M., Weston, J., & Celikyilmaz, A. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1