Large language model output entailment

A system comprising one or more processors and memory storing instructions that, in response to execution by the one or more processors, cause the one or more processors to:

• receive a query associated with a client device operated by the user;
• generate generative model output based on processing, using a generative model, data indicative of the query;
• extract a plurality of textual fragments from the generative model output;
• classify a subset of the textual fragments as being suitable for textual entailment analysis;
• individually perform textual entailment analysis on each textual fragment of the subset, wherein the textual entailment analysis includes, for each textual fragment of the subset:
• formulating a search query based on the textual fragment,
• retrieving at least one document that is responsive to the search query, and
• processing the textual fragment and the at least one document using one or more entailment machine learning models to generate one or more predictions of whether the at least one document corroborates or contradicts the textual fragment;
• cause natural language (NL) responsive to the query to be rendered at the client device;
• and
• cause one or more annotations to be rendered at the client device, wherein the one or more annotations express one or more of the predictions for one or more of the textual fragments of the subset.

At least one non-transitory computer-readable medium comprising instructions that, when executed by one or more processors, cause the one or more processors to:

• receive a query associated with a client device operated by the user;
• generate generative model output based on processing, using a generative model, data indicative of the query;
• extract a plurality of textual fragments from the generative model output;
• classify a subset of the textual fragments as being suitable for textual entailment analysis;
• individually perform textual entailment analysis on each textual fragment of the subset, wherein the textual entailment analysis includes, for each textual fragment of the subset:
• formulating a search query based on the textual fragment,
• retrieving at least one document that is responsive to the search query, and
• processing the textual fragment and the at least one document using one or more entailment machine learning models to generate one or more predictions of whether the at least one document corroborates or contradicts the textual fragment;
• cause natural language (NL) responsive to the query to be rendered at the client device;
• and
• cause one or more annotations to be rendered at the client device, wherein the one or more annotations express one or more of the predictions for one or more of the textual fragments of the subset.