3 papers
cs.AI2026
IDEA: An Interpretable and Editable Decision-Making Framework for LLMs via Verbal-to-Numeric Calibration
Yanji He, Yuxin Jiang, Yiwen Wu +3
Large Language Models are increasingly deployed for decision-making, yet their adoption in high-stakes domains remains limited by miscalibrated probabilities, unfaithful explanatio…
cs.CV2025
AdaFV: Rethinking of Visual-Language alignment for VLM acceleration
Jiayi Han, Liang Du, Yiwen Wu +3
The success of VLMs often relies on the dynamic high-resolution schema that adaptively augments the input images to multiple crops, so that the details of the images can be retaine…
cs.LG2024
SLIM: Let LLM Learn More and Forget Less with Soft LoRA and Identity Mixture
Jiayi Han, Liang Du, Hongwei Du +4
Although many efforts have been made, it is still a challenge to balance the training budget, downstream performance, and the general capabilities of the LLMs in many applications.…