الباحثون

Saman Halgamuge

المنشورات 2

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SmoothOperator: Enhancing Representations for Fine-grained Open-set Recognition via Modulated Label Smoothing

Thiru Thillai Nadarasar Bahavan, Yu Xia, Sachith Seneviratne وآخرون · 2026

Open Set Recognition (OSR) aims to enable models to accurately classify known classes while rejecting samples from unseen classes. A key challenge in OSR lies in the inability to model the unbounded distribution of unknown classes during training, often leading to the misclassification of samples from these classes. Ra …

نسخة أولية وصول مفتوح

CORDIAL: Calibrating Ordinal LLM Outputs from Few Labels

Xiangwei Wang, Peng Wang, Saman Halgamuge · 2026

A large language model (LLM) can turn a text into a distribution over an ordered scale, but that distribution is a noisy measurement: saturated, compressed or exaggerated, and biased in a consistent direction. We propose CORDIAL, which treats the model's output as a noisy reading of the true label and corrects it with …

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