Abstract: Recent works have increasingly adopted pre-trained language models, such as BERT, to model technical semantics for patent relevance assessment. However, existing truncation and divide-merge ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

Abstract: Phishing attacks exploit human and technological vulnerabilities to steal sensitive information, posing a significant threat to online security. To address this challenge, this research ...

Surveillance video released in the hunt for the Brown University gunman shows a stocky, masked figure whose walk shifts from calm to restless and awkward — behavior a body language expert says signals ...

Dec 16 2025 We released the preprint and Project Page for Sparse-LaViDa, an efficient optimization technique for training and sampling from unified multi-modal dLLMs based on LaViDa. Oct 2025: We ...