Enabling users to teach computers how to perform physical tasks is a long-standing goal in HCI. Prior work has explored learning from demonstration, but demonstrations often underspecify intent. Advances in generative AI enable a combination of demonstration and verbal narration to disambiguate intent. However, it rema...
Edward Kim, Daniel He, Jorge Diaz Chao et al.· 0 citations
Large language models are increasingly used as collaborators on deductive-reasoning tasks, but their outputs can hallucinate or pull users away from intended reasoning. Formal proof assistants provide machine-checked verification, but have a steep learning curve and require more granular reasoning than human written pr...
Chen-Jun Guo, Manooshree Patel, Arnav Mehta et al.· 0 citations
Attune is presented, a mixed-initiative system for steerable LLM-powered scoring that performs pairwise comparisons across records to develop a global understanding first, and then resolves these comparisons into consistent score assignments-deriving scoring criteria and rules bottom-up in the process.
Bhavya Chopra, Meng Chen, Rebecca Dang et al.· 0 citations
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