Mishra, Swaroop
13 papers on CoChatORCID 0009-0001-6413-7001
Most cited papers
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Self-Instruct: Aligning Language Models with Self-Generated Instructions
Wang, Y., Kordi, Y., Mishra, S., Liu, A., Smith, N. A., Khashabi, D., & Hajishirzi, H. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Topic ModelingNatural Language Processing Techniques
Cited by 1,243
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Gemini: A Family of Highly Capable Multimodal Models
Gemini Team, Anil, R., Borgeaud, S., Alayrac, J.-B., Yu, J., Soricut, R., Schalkwyk, J., Dai, A. M., Hauth, A., Millican, K., et al. (2023) · arXiv
Multimodal Machine Learning ApplicationsTopic Modeling
Cited by 990
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Large Language Models Cannot Self-Correct Reasoning Yet
Huang, J., Chen, X., Mishra, S., Zheng, H. S., Yu, A. W., Song, X., & Zhou, D. (2023) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 712
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Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Srivastava, A., Rastogi, A., Rao, A., Shoeb, A. A. M., Abid, A., Fisch, A., Brown, A. R., Santoro, A., Gupta, A., Garriga-Alonso, A., et al. (2022) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 569
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Cross-Task Generalization via Natural Language Crowdsourcing Instructions
Mishra, S., Khashabi, D., Baral, C., & Hajishirzi, H. (2022) · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Domain Adaptation and Few-Shot LearningTopic Modeling
Cited by 269
- Verified
Cross-Task Generalization via Natural Language Crowdsourcing Instructions
Mishra, S., Khashabi, D., Baral, C., & Hajishirzi, H. (2021) · arXiv
Domain Adaptation and Few-Shot LearningTopic Modeling
Cited by 269
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Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks
Wang, Y., Mishra, S., Alipoormolabashi, P., Kordi, Y., Mirzaei, A., Naik, A., Ashok, A., Dhanasekaran, A. S., Arunkumar, A., Stap, D., et al. (2022) · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Topic ModelingNatural Language Processing Techniques
Cited by 247
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Self-Instruct: Aligning Language Models with Self-Generated Instructions
Wang, Y., Kordi, Y., Mishra, S., Liu, A., Smith, N. A., Khashabi, D., & Hajishirzi, H. (2022) · arXiv
Topic ModelingDomain Adaptation and Few-Shot Learning
Cited by 118
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Instruction-Following Evaluation for Large Language Models
Zhou, J., Lu, T., Mishra, S., Brahma, S., Basu, S., Luan, Y., Zhou, D., & Hou, L. (2023) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 39
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AutoMix: Automatically Mixing Language Models
Aggarwal, P., Madaan, A., Anand, A., Potharaju, S. P., Mishra, S., Zhou, P., Gupta, A., Rajagopal, D., Kappaganthu, K., Yang, Y., et al. (2023) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 19
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Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting
Wang, Z., Wang, Z., Le, L., Zheng, H. S., Mishra, S., Perot, V., Zhang, Y., Mattapalli, A., Taly, A., Shang, J., et al. (2024) · arXiv
Topic ModelingInformation Retrieval and Search Behavior
Cited by 9
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How FaR Are Large Language Models From Agents with Theory-of-Mind?
Zhou, P., Madaan, A., Potharaju, S. P., Gupta, A., McKee, K. R., Holtzman, A., Pujara, J., Ren, X., Mishra, S., Nematzadeh, A., et al. (2023) · arXiv
Topic ModelingChild and Animal Learning Development
Cited by 6
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Towards Robust Mathematical Reasoning
Luong, T., Hwang, D., Nguyen, H. H., Ghiasi, G., Chervonyi, Y., Seo, I., Kim, J., Bingham, G., Lee, J., Mishra, S., et al. (2025) · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
Topic ModelingNatural Language Processing Techniques
Cited by 4
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