that the augmented responses come from a single reliable source, which may not always be the case in more
complicated scenarios.
We contend that models should have the ability to distinguish and verify the reliability of various sources. To
achieve this goal, we suggest the following research directions: (1) conﬂict detection: models should ﬁrst
detect potential conﬂicts among different sources and ﬂag them for further investigation; (2) conﬂict resolution:
it is also important to make veriﬁcation and choose reliable sources after conﬂict detection. Meanwhile, models
should also provide explanations for their generation by interpreting which knowledge source is considered
and how it is augmented into the ﬁnal response.

5.6 Open Problems
Tool Learning with Foundation Models