Large Language Models

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
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BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models
Continual Learning of Large Language Models: A Comprehensive Survey
‘The recent success of large language models (LLMs) trained on static, pre-collected, general datasets has sparked numerous …
Haizhou Shi, Zihao Xu, Hengyi Wang, Weiyi Qin, Wenyuan Wang, Yibin Wang, Hao Wang
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