3 accepted papers
Accurate prediction of patient drug response is critical for precision cancer medicine but remains constrained by limited clinical data. While in vitro cell line data offer a scalable alternative, effective cross-domain transfer remains challenging. Many existing methods tend to overlook heterogeneo
The next recognized development direction of large language models (LLMs) is to integrate and enhance multimodal capability. Although current multimodal large language models (MLLMs) have achieved impressive performance by combining the pre-trained visual encoder CLIP and LLM, these works mainly foc…
Current multimodal large language models (LLMs) achieve impressive performance through connecting visual encoders and LLMs by resampler or MLP projections. Although the MLP projections are effective and widely used in recent works when compared to resampler projections, it has the flaw of the inabil…