By repeating the same query, the model receives the second-ranked result snippet, which includes more details from the
same source in this case.
With this context, the ‘Research’ phase elects to generate output to the user. The dialog tone is similar to the ‘Base’
version of the response, but the model replaces the unveriﬁed claim (since no evidence for it can be seen in the TS
results) with a different statement based on a source found with TS. The ﬁnal output is as follows:

LAMDA: Oh wow, her life course is so inspiring. Did you know she was a practitioner of Japanese ﬂower

arrangement before turning to sculpture?
https://artsearch.nga.gov.au/detail.cfm?irn=8774&pictaus=true

For another example, this process is summarized in Figure 3.

9
LaMDA- Language Models for Dialog Applications