A new research paper addresses the challenge of evaluating LLM assistants' social reasoning in daily social advice settings, noting that such evaluation requires setups where the assistant learns about social situations from subjective user narratives and accounts for social properties. The work, titled "Verifiable Social Reasoning for LLM Assistants," focuses on the difficulty of verifying social reasoning when user input is subjective.
LLM assistants are widely used for daily social advice, yet evaluating their social reasoning in such consultation settings remains challenging since (i) it requires setups where the assistant learns about social situations from subjective user narratives, and (ii) social properties, such as others'
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