Requirements Engineering 2023 (series) / Research Papers / Prompting Creative Requirements via Traceable and Adversarial Examples in Deep Learning
Prompting Creative Requirements via Traceable and Adversarial Examples in Deep Learning
Thu 7 SepDisplayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change
Thu 7 Sep
Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change
10:45 - 12:15 | |||
10:45 30mPaper | Prompting Creative Requirements via Traceable and Adversarial Examples in Deep Learning Research Papers A: Hemanth Gudaparthi Governors State University, A: Nan Niu University of Cincinnati, A: Boyang Wang University of Cincinnati, A: Tanmay Bhowmik Mississippi State University, A: Hui Liu Beijing Institute of Technology, A: Jianzhang Zhang , A: Juha Savolainen Danfoss, A: Glen Horton University of Cincinnati, A: Sean Crowe University of Cincinnati, A: Thomas Scherz University of Cincinnati, A: Lisa Haitz University of Cincinnati | ||
11:15 30mPaper | Zero-shot Learning for Named Entity Recognition in Software Specification Documents Research Papers A: Souvick Das , A: Novarun Deb Assistant Professor, Indian Institute of Information Technology, Vadodara, A: Agostino Cortesi Ca’ Foscari University of Venice, A: Nabendu Chaki | ||
11:45 30mPaper | Inconsistency Detection in Natural Language Requirements using ChatGPT: a Preliminary Evaluation} RE@Next! Papers A: Alessandro Fantechi University of Florence, A: Stefania Gnesi Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" , A: Lucia Passaro University of Pisa, A: Laura Semini Università di Pisa - Dipartimento di Informatica File Attached | ||