4 papers
Suppressing Prior-Comparison Hallucinations in Radiology Report Generation via Semantically Decoupled Latent Steering
Ao Li, Rui Liu, Mingjie Li +6
Automated radiology report generation using vision-language models (VLMs) is limited by the risk of prior-comparison hallucination, where the model generates historical findings un…
Flexiffusion: Segment-wise Neural Architecture Search for Flexible Denoising Schedule
Hongtao Huang, Xiaojun Chang, Lina Yao
Diffusion models are cutting-edge generative models adept at producing diverse, high-quality images. Despite their effectiveness, these models often require significant computation…
Flexiffusion: Training-Free Segment-Wise Neural Architecture Search for Efficient Diffusion Models
Hongtao Huang, Xiaojun Chang, Lina Yao
Diffusion models (DMs) are powerful generative models capable of producing high-fidelity images but are constrained by high computational costs due to iterative multi-step inferenc…
Dual Conditional Diffusion Models for Sequential Recommendation
Hongtao Huang, Chengkai Huang, Tong Yu +4
Recent advancements in diffusion models have shown promising results in sequential recommendation (SR). Existing approaches predominantly rely on implicit conditional diffusion mod…