Papers with aggregated metrics

2 papers
Semantic Diversity for Natural Language Understanding Evaluation in Dialog Systems (2020.coling-industry)

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Challenge: a dialog system is used to evaluate NLU models using aggregated metrics on a large number of utterances.
Approach: They propose a method to generate a test set with high semantic diversity for NLU evaluation in dialog systems.
Outcome: The proposed test sets are based on high diversity of utterances from different regions of the utteration embedding space.
REMIND: Memorization and Unlearning in LLMs Through the Lens of Input Loss Landscapes (2026.acl-long)

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Challenge: REMIND is a framework that diagnoses residual memorization states by probing local ILL curvature over semantically coherent neighborhoods.
Approach: They propose a framework that diagnoses memorization states by probing local ILL curvature over semantically coherent neighborhoods.
Outcome: The proposed framework outperforms baseline models with 82% multi-class ROC-AUC and 2 higher AUC at 1% FPR.

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