Nishikino, Keizaburo
Kobayashi, Kenichi
Chapter History
First Online: 17 September 2023
Ethical Statement
: In this study, we utilized pretrained LMs for text generation. Pretrained LMs, e.g., GPTs, may contain personal data in the weight parameters. Thus, LMs should be tested in advance and the personal information should be removed from both datasets and models. In this study, we utilized public datasets and models to avoid the misuse of personal information. We confirm that the models did not generate any texts, including any personal information. However, this study can be utilized in deception involving fake documents, news, etc., even though we only intend to improve the quality and diversity of LMs for text generation. Hence, we intend to manage and survey the utilization of this study, to ensure that its negative influences are monitored and constrained.
Conference Information
Conference Acronym: ECML PKDD
Conference Name: Joint European Conference on Machine Learning and Knowledge Discovery in Databases
Conference City: Turin
Conference Country: Italy
Conference Year: 2023
Conference Start Date: 18 September 2023
Conference End Date: 22 September 2023
Conference Number: 23
Conference ID: ecml2023
Conference URL: https://2023.ecmlpkdd.org/
Peer Review Information (provided by the conference organizers)
Type: Double-blind
Conference Management System: CMT
Number of Submissions Sent for Review: 829
Number of Full Papers Accepted: 196
Number of Short Papers Accepted: 0
Acceptance Rate of Full Papers: 24% - The value is computed by the equation "Number of Full Papers Accepted / Number of Submissions Sent for Review * 100" and then rounded to a whole number.
Average Number of Reviews per Paper: 3.63
Average Number of Papers per Reviewer: 4.5
External Reviewers Involved: Yes
Additional Info on Review Process: Applied Data Science Track: 239 submissions, 58 accepted papers; Demo Track: 31 submissions, 16 accepted papers.