Daizong Liu

AI-driven scientific discovery is closer than you think, but current systems still struggle with reproducibility, cross-domain robustness, and accountable scientific closure.

LVLMs can maintain sharper visual focus during long-form generation by adding a lightweight, learnable memory module that bypasses attention dilution.

VLMs can be significantly improved by reasoning over diverse, generated text inputs, rather than relying on restrictive, predefined templates.

VLMs can now handle real-world sensor failures and data privacy constraints without catastrophic performance drops, thanks to a new plug-and-play module for incomplete multi-modal inputs.