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Found 5 papers, 3 papers with code
Conformal Intent Classification and Clarification for Fast and Accurate Intent Recognition
We present Conformal Intent Classification and Clarification (CICC), a framework for fast and accurate intent classification for task-oriented dialogue systems.
Position Paper: Against Spurious Sparks $-$ Dovelating Inflated AI Claims
Humans have a tendency to see 'human'-like qualities in objects around them.
Faithful Model Explanations through Energy-Constrained Conformal Counterfactuals
We formalise this notion of faithfulness through the introduction of a tailored evaluation metric and propose a novel algorithmic framework for generating Energy-Constrained Conformal Counterfactuals that are only as plausible as the model permits.
Endogenous Macrodynamics in Algorithmic Recourse
Existing work on Counterfactual Explanations (CE) and Algorithmic Recourse (AR) has largely focused on single individuals in a static environment: given some estimated model, the goal is to find valid counterfactuals for an individual instance that fulfill various desiderata.
Explaining Black-Box Models through Counterfactuals
We present CounterfactualExplanations. jl: a package for generating Counterfactual Explanations (CE) and Algorithmic Recourse (AR) for black-box models in Julia.
