Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Evaluating Differentially Private Synthetic Data Generation in High-Stakes Domains.

[BibT_eX]

[DOI]

Krithika Ramesh

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Attribute Controlled Fine-tuning for Large Language Models: A Case Study on Detoxification.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Tree-of-Traversals: A Zero-Shot Reasoning Algorithm for Augmenting Black-box Language Models with Knowledge Graphs.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Holistic Survey of Privacy and Fairness in Machine Learning.

[BibT_eX]

[DOI]

Bhaskar Krishnamachari

CoRR, 2023

Privacy in the Time of Language Models.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Incorporating Fairness in Large Scale NLU Systems.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Coordinated Replay Sample Selection for Continual Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

Controlling the Extraction of Memorized Data from Large Language Models via Prompt-Tuning.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

The Massively Multilingual Natural Language Understanding 2022 (MMNLU-22) Workshop and Competition.

[BibT_eX]

[DOI]

CoRR, 2022

AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2Seq Model.

[BibT_eX]

[DOI]

Saleh Soltan

Shankar Ananthakrishnan

Chandana Satya Prakash

CoRR, 2022

Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems.

[BibT_eX]

[DOI]

CoRR, 2022

Differentially Private Decoding in Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2022

Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Knowledge Distillation Transfer Sets and their Impact on Downstream NLU Tasks.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022

2020

Using multiple ASR hypotheses to boost i18n NLU performance.

[BibT_eX]

[DOI]

Proceedings of the 17th International Conference on Natural Language Processing, 2020

Generative Adversarial Networks for Annotated Data Augmentation in Data Sparse NLU.

[BibT_eX]

[DOI]

Olga Golovneva

Charith Peris

Proceedings of the 17th International Conference on Natural Language Processing, 2020

Charith Peris

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