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Actual example for which the correctness ofyG is evaluated: <| im_ st art | > user Qu es tio n :[question inserted here] Here is a list of f u n c t i o n s in JSON format that can

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Uncertainty Quantification for LLM Function-Calling

cs.CL · 2026-04-24 · unverdicted · novelty 7.0

Multi-sample UQ methods like Semantic Entropy show no clear advantage over single-sample methods for LLM function-calling, but both improve when adapted using abstract syntax tree clustering for multi-sample approaches and semantic token selection for logit-based single-sample scores.

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  • Uncertainty Quantification for LLM Function-Calling cs.CL · 2026-04-24 · unverdicted · none · ref 5

    Multi-sample UQ methods like Semantic Entropy show no clear advantage over single-sample methods for LLM function-calling, but both improve when adapted using abstract syntax tree clustering for multi-sample approaches and semantic token selection for logit-based single-sample scores.