Goyal, Naman
14 papers on CoChatORCID 0000-0002-7565-4303
Most cited papers
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BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
Lewis, M., Liu, Y., Goyal, N., Ghazvininejad, M., Mohamed, A., Levy, O., Stoyanov, V., & Zettlemoyer, L. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
Topic ModelingNatural Language Processing Techniques
Cited by 8,821
- Verified
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
Lewis, M., Liu, Y., Goyal, N., Ghazvininejad, M., Mohamed, A., Levy, O., Stoyanov, V., & Zettlemoyer, L. (2019) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 8,816
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Unsupervised Cross-lingual Representation Learning at Scale
Conneau, A., Khandelwal, K., Goyal, N., Chaudhary, V., Wenzek, G., Guzmán, F., Grave, E., Ott, M., Zettlemoyer, L., & Stoyanov, V. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
Topic ModelingNatural Language Processing Techniques
Cited by 5,637
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LLaMA: Open and Efficient Foundation Language Models
Touvron, H., Lavril, T., Izacard, G., Martinet, X., Lachaux, M.-A., Lacroix, T., Rozière, B., Goyal, N., Hambro, E., Azhar, F., et al. (2023) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 4,602
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Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
Lewis, P., Perez, E., Piktus, A., Petroni, F., Karpukhin, V., Goyal, N., Küttler, H., Lewis, M., Yih, W.-T., Rocktäschel, T., et al. (2020) · arXiv
Safety Systems Engineering in AutonomyEthics and Social Impacts of AI
Cited by 3,101
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Llama 2: Open Foundation and Fine-Tuned Chat Models
Touvron, H., Martin, L., Stone, K., Albert, P., Almahairi, A., Babaei, Y., Bashlykov, N., Batra, S., Bhargava, P., Bhosale, S., et al. (2023) · arXiv
Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare
Cited by 2,604
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Recipes for building an open-domain chatbot
Roller, S., Dinan, E., Goyal, N., Ju, D., Williamson, M., Liu, Y., Xu, J., Ott, M., Shuster, K., Smith, E. M., et al. (2020) · arXiv
Speech and dialogue systemsTopic Modeling
Cited by 784
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Recipes for Building an Open-Domain Chatbot
Roller, S., Dinan, E., Goyal, N., Ju, D., Williamson, M., Liu, Y., Xu, J., Ott, M., Smith, E. M., Boureau, Y.-L., et al. (2021) · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
Speech and dialogue systemsTopic Modeling
Cited by 784
- Verified
XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale
Babu, A., Wang, C., Tjandra, A., Lakhotia, K., Xu, Q., Goyal, N., Singh, K., von Platen, P., Saraf, Y., Pino, J., et al. (2022) · Interspeech 2022
Speech Recognition and SynthesisSpeech and Audio Processing
Cited by 586
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Efficient Large Scale Language Modeling with Mixtures of Experts
Artetxe, M., Bhosale, S., Goyal, N., Mihaylov, T., Ott, M., Shleifer, S., Lin, X. V., Du, J., Iyer, S., Pasunuru, R., et al. (2021) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 223
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BlenderBot 3: a deployed conversational agent that continually learns to responsibly engage
Shuster, K., Xu, J., Komeili, M., Ju, D., Smith, E. M., Roller, S., Ung, M., Chen, M., Arora, K., Lane, J., et al. (2022) · arXiv
Speech and dialogue systemsAI in Service Interactions
Cited by 95
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BASE Layers: Simplifying Training of Large, Sparse Models
Lewis, M., Bhosale, S., Dettmers, T., Goyal, N., & Zettlemoyer, L. (2021) · arXiv
Topic ModelingAdvanced Neural Network Applications
Cited by 88
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CM3: A Causal Masked Multimodal Model of the Internet
Aghajanyan, A., Huang, B., Ross, C., Karpukhin, V., Xu, H., Goyal, N., Okhonko, D., Joshi, M., Ghosh, G., Lewis, M., et al. (2022) · arXiv
Multimodal Machine Learning ApplicationsTopic Modeling
Cited by 42
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Scaling Laws for Generative Mixed-Modal Language Models
Aghajanyan, A., Yu, L., Conneau, A., Hsu, W.-N., Hambardzumyan, K., Zhang, S., Roller, S., Goyal, N., Levy, O., & Zettlemoyer, L. (2023) · arXiv
Multimodal Machine Learning ApplicationsTopic Modeling
Cited by 10
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