Tech Xplore

Turning PCs and mobile devices into AI infrastructure can slash operational costs

Until now, AI services based on large language models (LLMs) have mostly relied on expensive data center GPUs. This has ...
IEEE

Focusing on what to Decode and what to Train: SOV Decoding with Specific Target Guided DeNoising and Vision Language Advisor

Abstract: Recent transformer-based methods achieve notable gains in the Human-object Interaction Detection (HOID) task by leveraging the detection of DETR and the prior knowledge of Vision-Language ...
GitHub

SafeEraser: Enhancing Safety in Multimodal Large Language Models through Multimodal Machine Unlearning

As Multimodal Large Language Models (MLLMs) develop, their potential security issues have become increasingly prominent. Machine Unlearning (MU), as an effective strategy for forgetting specific ...
IEEE

Leveraging Machine Learning Approaches to Decode Hive Sounds for Stress Prediction

Abstract: Beekeeping plays a vital role in preserving ecosystems through pollination and increasing biodiversity. Effective monitoring of honeybee health and hive conditions is essential to balance ...