Papers with pointwise mutual information

3 papers
Human-like informative conversations: Better acknowledgements using conditional mutual information (2021.naacl-main)

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Challenge: Existing chatbots generate responses that are non-specific w.r.t. one of the contexts, typically the conversational history.
Approach: They propose to build a dialogue agent that can weave new factual content into conversations as naturally as humans.
Outcome: The proposed method trades off pmi for pcmi_h and is preferred by humans for overall quality over the Max-PMI baseline 60% of the time.
Pointwise Mutual Information as a Performance Gauge for Retrieval-Augmented Generation (2025.naacl-long)

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Challenge: Existing methods to improve language models' performance do not exploit this phenomenon .
Approach: They propose to use contextual information to select and construct prompts that improve model performance.
Outcome: The proposed methods show that the mutual information between a context and a question is an effective gauge for language model performance.
SUE: Sparsity-based Uncertainty Estimation via Sparse Dictionary Learning (2025.emnlp-main)

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Challenge: Existing methods to estimate uncertainty use predictive confidence, structural characteristics of representation space, or stochastic variation in model outputs.
Approach: They propose a new uncertainty estimation framework based on sparse dictionary learning by identifying dictionary atoms associated with misclassified samples.
Outcome: The proposed framework outperforms or matches existing methods on several NLU benchmarks and sentiment analysis benchmarks.

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