| AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2seq Model S Soltan, S Ananthakrishnan, J FitzGerald, R Gupta, W Hamza, H Khan, ... arXiv preprint arXiv:2208.01448, 2022 | 95* | 2022 |
| Detecting Changes in Dynamic Events Over Networks S Li, Y Xie, M Farajtabar, A Verma, L Song IEEE Transactions on Signal and Information Processing over Networks 3 (2 …, 2017 | 55 | 2017 |
| Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal U Gupta, J Dhamala, V Kumar, A Verma, Y Pruksachatkun, S Krishna, ... Findings of the Association for Computational Linguistics: ACL 2022, 2022 | 47 | 2022 |
| A Stochastic Differential Equation Framework for Guiding Online User Activities in Closed Loop Y Wang, E Theodorou, A Verma, L Song International Conference on Artificial Intelligence and Statistics, 1077-1086, 2018 | 37* | 2018 |
| Resolving Ambiguities in Text-to-Image Generative Models N Mehrabi, P Goyal, A Verma, J Dhamala, V Kumar, Q Hu, KW Chang, ... Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 16* | 2023 |
| Measuring Fairness of Text Classifiers via Prediction Sensitivity S Krishna, R Gupta, A Verma, J Dhamala, Y Pruksachatkun, KW Chang Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 10 | 2022 |
| AlexaTM 20B: Few-shot learning using a large-scale multilingual seq2seq model. arXiv 2022 S Soltan, S Ananthakrishnan, J FitzGerald, R Gupta, W Hamza, H Khan, ... arXiv preprint arXiv:2208.01448, 2022 | 9 | 2022 |
| Operationalizing a Threat Model for Red-Teaming Large Language Models (LLMs) A Verma, S Krishna, S Gehrmann, M Seshadri, A Pradhan, T Ault, ... arXiv preprint arXiv:2407.14937, 2024 | 8 | 2024 |
| System for better diagnosis and treatment of skin cancer M May, T Dang, S Fenu, A Verma, MA Cimino | 1 | 2019 |
| PG-Story: Taxonomy, Dataset, and Evaluation for Ensuring Child-Safe Content for Story Generation A Tsai, S Oraby, A Narayan-Chen, A Cervone, S Gella, A Verma, T Chung, ... Proceedings of the Third Workshop on NLP for Positive Impact, 78-97, 2024 | | 2024 |
| Cohort Determination In Natural Language Processing PN Rahul Gupta, Jwala Dhamala, Apurv Verma, Qingwen Ye, Mayur Himmatbhai ... US Patent 12,112,752, 2024 | | 2024 |
| Proceedings of the 3rd Workshop on Trustworthy Natural Language Processing (TrustNLP 2023) A Ovalle, KW Chang, N Mehrabi, Y Pruksachatkun, A Galystan, ... Proceedings of the 3rd Workshop on Trustworthy Natural Language Processing …, 2023 | | 2023 |
| Alexa Teacher Model (AlexaTM 20B) S Soltan, S Ananthakrishnan, JGM FitzGerald, R Gupta, W Hamza, ... Image, 2023 | | 2023 |
| Incorporating Fairness in Large Scale NLU Systems R Gupta, L Bauer, KW Chang, J Dhamala, A Galstyan, P Goyal, Q Hu, ... Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023 | | 2023 |
| Workshops on Trustworthy NLP Help Build Community A Verma, A Ramakrishna https://www.amazon.science/blog/workshops-on-trustworthy-nlp-help-build …, 2022 | | 2022 |
| AlexaTM 20B: Few-shot learning using a large-scale multilingual seq2seq model PN Saleh Soltan, Shankar Ananthakrishnan, Jack G. M. FitzGerald, Rahul Gupta ... https://www.amazon.science/publications/alexatm-20b-few-shot-learning-using …, 2022 | | 2022 |
| Proceedings of the 2nd Workshop on Trustworthy Natural Language Processing (TrustNLP 2022) A Verma, Y Pruksachatkun, KW Chang, A Galstyan, J Dhamala, YT Cao Proceedings of the 2nd Workshop on Trustworthy Natural Language Processing …, 2022 | | 2022 |
Rahul GuptaAmazon Alexa確認したメール アドレス: amazon.com