Preference Consistency Matters: Enhancing Preference Learning in Language Models with Automated Self-Curation of Training Corpora.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025
Less for More: Enhancing Preference Learning in Generative Language Models with Automated Self-Curation of Training Corpora.
CoRR, 2024
Improving Instruction Following in Language Models through Proxy-Based Uncertainty Estimation.
,
,
,
,
,
,
,
,
,
,
,
,
,
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Adapting Models to Scarce Target Data Without Source Samples.
Proceedings of the Computer Vision - ACCV 2024, 2024
Feature Alignment by Uncertainty and Self-Training for Source-Free Unsupervised Domain Adaptation.
Neural Networks, April, 2023
Unsupervised domain adaptation based on the predictive uncertainty of models.
Neurocomputing, 2023
Unsupervised Accuracy Estimation of Deep Visual Models using Domain-Adaptive Adversarial Perturbation without Source Samples.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023