Leveraging few-shot data augmentation and waterfall prompting for response generation
This paper discusses our approaches for task-oriented conversational modelling using
subjective knowledge, with a particular emphasis on response generation. Our methodology …
subjective knowledge, with a particular emphasis on response generation. Our methodology …
Controllable factuality in document-grounded dialog systems using a noisy channel model
In this work, we present a model for document-grounded response generation in dialog that
is decomposed into two components according to Bayes theorem. One component is a …
is decomposed into two components according to Bayes theorem. One component is a …
Task-Oriented Document-Grounded Dialog Systems by HLTPR@ RWTH for DSTC9 and DSTC10
This paper summarizes our contributions to the document-grounded dialog tasks at the 9th
and 10th Dialog System Technology Challenges (DSTC9 and DSTC10). In both iterations …
and 10th Dialog System Technology Challenges (DSTC9 and DSTC10). In both iterations …
Response Generation in Longitudinal Dialogues: Which Knowledge Representation Helps?
Longitudinal Dialogues (LD) are the most challenging type of conversation for human-
machine dialogue systems. LDs include the recollections of events, personal thoughts, and …
machine dialogue systems. LDs include the recollections of events, personal thoughts, and …
Response Generation in Longitudinal Dialogues
SM Mousavi - 2023 - iris.unitn.it
Longitudinal Dialogues (LD) are the most challenging type of conversations for human-
machine dialogue systems. LDs include the recollections of events, personal thoughts, and …
machine dialogue systems. LDs include the recollections of events, personal thoughts, and …