Generalized knowledge-enhanced framework for biomedical entity and relation extractionby Minh Nguyen, Phuong LeFirst submitted to…
Towards Robust and Parameter-Efficient Knowledge Unlearning for LLMsby Sungmin Cha, Sungjun Cho, Dasol Hwang, Moontae…
COD: Learning Conditional Invariant Representation for Domain Adaptation Regressionby Hao-Ran Yang, Chuan-Xian Ren, You-Wei LuoFirst…
Perceptual Similarity for Measuring Decision-Making Style and Policy Diversity in Gamesby Chiu-Chou Lin, Wei-Chen Chiu,…
TruVRF: Towards Triple-Granularity Verification on Machine Unlearningby Chunyi Zhou, Anmin Fu, Zhiyang DaiFirst submitted to…
Fully Bayesian Differential Gaussian Processes through Stochastic Differential Equationsby Jian Xu, Zhiqi Lin, Min Chen,…
Neural Network Surrogate and Projected Gradient Descent for Fast and Reliable Finite Element Model Calibration:…
Building Decision Making Models Through Language Model Regimeby Yu Zhang, Haoxiang Liu, Feijun Jiang, Weihua…
A-BDD: Leveraging Data Augmentations for Safe Autonomous Driving in Adverse Weather and Lightingby Felix Assion,…
Approximating Discrimination Within Models When Faced With Several Non-Binary Sensitive Attributesby Yijun Bian, Yujie Luo,…