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pro vyhledávání: '"Puri, Ravsehaj Singh"'
Autor:
Wang, Yizhong, Mishra, Swaroop, Alipoormolabashi, Pegah, Kordi, Yeganeh, Mirzaei, Amirreza, Arunkumar, Anjana, Ashok, Arjun, Dhanasekaran, Arut Selvan, Naik, Atharva, Stap, David, Pathak, Eshaan, Karamanolakis, Giannis, Lai, Haizhi Gary, Purohit, Ishan, Mondal, Ishani, Anderson, Jacob, Kuznia, Kirby, Doshi, Krima, Patel, Maitreya, Pal, Kuntal Kumar, Moradshahi, Mehrad, Parmar, Mihir, Purohit, Mirali, Varshney, Neeraj, Kaza, Phani Rohitha, Verma, Pulkit, Puri, Ravsehaj Singh, Karia, Rushang, Sampat, Shailaja Keyur, Doshi, Savan, Mishra, Siddhartha, Reddy, Sujan, Patro, Sumanta, Dixit, Tanay, Shen, Xudong, Baral, Chitta, Choi, Yejin, Smith, Noah A., Hajishirzi, Hannaneh, Khashabi, Daniel
How well can NLP models generalize to a variety of unseen tasks when provided with task instructions? To address this question, we first introduce Super-NaturalInstructions, a benchmark of 1,616 diverse NLP tasks and their expert-written instructions
Externí odkaz:
http://arxiv.org/abs/2204.07705
Recently introduced instruction-paradigm empowers non-expert users to leverage NLP resources by defining a new task in natural language. Instruction-tuned models have significantly outperformed multitask learning models (without instruction); however
Externí odkaz:
http://arxiv.org/abs/2203.09161