Papers with domain adaptation theory

2 papers
Learn2Weight: Parameter Adaptation against Similar-domain Adversarial Attacks (2022.coling-1)

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Challenge: Prior black-box adversarial attacks assume that attackers can observe output labels from target models based on selected inputs.
Approach: They propose a black-box adversarial attack where an attacker can transfer adversarials to a target domain and cause poor performance in target model.
Outcome: The proposed attack is effective against similar-domain adversarial examples compared to standard black-box defense methods such as adversarials training and defense distillation.
Adaptive Platt Scaling with Causal Interpretations for Self-Reflective Language Model Uncertainty Estimates (2025.findings-emnlp)

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Challenge: a new study examines the ability of large language models to self-monitor and ask for human intervention.
Approach: They propose a formal analysis of LLM self-reflection for uncertainty estimation using domain adaptation theory.
Outcome: The proposed method improves accuracy and human interpretation on reasoning tasks.

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