Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Kuznia, Kirby"'
Autor:
Pal, Kuntal Kumar, Kashihara, Kazuaki, Anantheswaran, Ujjwala, Kuznia, Kirby C., Jagtap, Siddhesh, Baral, Chitta
With the increase in cybersecurity vulnerabilities of software systems, the ways to exploit them are also increasing. Besides these, malware threats, irregular network interactions, and discussions about exploits in public forums are also on the rise
Externí odkaz:
http://arxiv.org/abs/2302.10346
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
Despite the success of large pre-trained language models (LMs) such as Codex, they show below-par performance on the larger and more complicated programming related questions. We show that LMs benefit from the summarized version of complicated questi
Externí odkaz:
http://arxiv.org/abs/2203.08597