Raff, Edward

Crosslingual Generalization through Multitask Finetuning

Muennighoff, N., Wang, T., Sutawika, L., Roberts, A., Biderman, S., Le Scao, T., Bari, M. S., Shen, S., Yong, Z. X., Schoelkopf, H., et al. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 361

Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling

Biderman, S., Schoelkopf, H., Anthony, Q., Bradley, H., O'Brien, K., Hallahan, E., Khan, M. A., Purohit, S., Prashanth, U. S., Raff, E., et al. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 160

LEACE: Perfect linear concept erasure in closed form

Belrose, N., Schneider-Joseph, D., Ravfogel, S., Cotterell, R., Raff, E., & Biderman, S. (2023) · arXiv

Cryptography and Data SecurityPrivacy-Preserving Technologies in Data

Cited by 44

Fooling MOSS Detection with Pretrained Language Models

Biderman, S., & Raff, E. (2022) · Proceedings of the 31st ACM International Conference on Information & Knowledge Management

Academic integrity and plagiarismSoftware Engineering Research

Cited by 37

Fooling MOSS Detection with Pretrained Language Models

Biderman, S., & Raff, E. (2022) · arXiv

Academic integrity and plagiarismSoftware Engineering Research

Cited by 37

BLOOM+1: Adding Language Support to BLOOM for Zero-Shot Prompting

Yong, Z. X., Schoelkopf, H., Muennighoff, N., Aji, A. F., Adelani, D. I., Almubarak, K., Bari, M. S., Sutawika, L., Kasai, J., Baruwa, A., et al. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 30

Crosslingual Generalization through Multitask Finetuning

Muennighoff, N., Wang, T., Sutawika, L., Roberts, A., Biderman, S., Scao, T. L., Bari, M. S., Shen, S., Yong, Z.-X., Schoelkopf, H., et al. (2022) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 29

WellDunn: On the robustness and explainability of language models and large language models in identifying wellness dimensions

Mohammadi, S., Raff, E., Malekar, J., Palit, V., Ferraro, F., & Gaur, M. (2024) · Proceedings of the 7th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP

Explainable Artificial Intelligence (XAI)Mental Health via Writing

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Abstention vs. Hallucination: Benchmarking LLM Source Attribution for Scientific Citations

Tilwani, D., Saxena, Y., Mohammadi, S., Padia, A., Raff, E., Sheth, A., Parthasarathy, S., & Gaur, M. (2024) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 2