We have 3 of 13 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
This work proposes an inference-time, plug-and-play Self-Contrastive Steering (SCS) method that constructs unconditional general text embeddings and uses them to refine conditional text embeddings, making them more focused on the target condition.
A Dynamic Distribution-Aware Uncertainty Quantification framework (DDA-UQ) is proposed that shifts the paradigm from static mapping to a dynamic distribution-aware process and significantly outperforms state-of-the-art methods.
Class-wise Covariance Regularization is proposed, which aligns the predicted covariance structure of class confidences with the semantic correlations encoded in pretrained text embed-dings with the geometric consistency of the class space throughout fine-tuning, resulting in more stable and interpretable confidence dis...
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
