Trustworthy AI

Training-Free Bayesianization for Low-Rank Adapters of Large Language Models
Estimating the uncertainty of responses of Large Language Models~(LLMs) remains a critical challenge. While recent Bayesian methods …
Haizhou Shi, Yibin Wang, Ligong Han, Dimitris Metaxas, Huan Zhang, Hao Wang
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BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models
Large Language Models (LLMs) often suffer from overconfidence during inference, particularly when adapted to downstream domain-specific …
Yibin Wang, Haizhou Shi, Ligong Han, Dimitris Metaxas, Hao Wang
PDF Code Poster Slides arxiv NeurIPS
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models
Robustness-Aware Word Embedding Improves Certified Robustness to Adversarial Word Substitutions
Natural Language Processing (NLP) models have gained great success on clean texts, but they are known to be vulnerable to adversarial …
Yibin Wang, Yichen Yang, Di He, Kun He
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Robustness-Aware Word Embedding Improves Certified Robustness to Adversarial Word Substitutions