HAVER: Instance-Dependent Error Bounds for Maximum Mean Estimation and Applications to Q-Learningby Tuan Ngo Nguyen,…
MoD: A Distribution-Based Approach for Merging Large Language Modelsby Quy-Anh Dang, Chris NgoFirst submitted to…
Black-Box Forgettingby Yusuke Kuwana, Yuta Goto, Takashi Shibata, Go IrieFirst submitted to arxiv on: 1…
Enhancing Authorship Attribution through Embedding Fusion: A Novel Approach with Masked and Encoder-Decoder Language Modelsby…
Adapting While Learning: Grounding LLMs for Scientific Problems with Intelligent Tool Usage Adaptationby Bohan Lyu,…
A KAN-based Interpretable Framework for Process-Informed Prediction of Global Warming Potentialby Jaewook Lee, Xinyang Sun,…
Class Incremental Learning with Task-Specific Batch Normalization and Out-of-Distribution Detectionby Xuchen Xie, Yiqiao Qiu, Run…
Improving Few-Shot Cross-Domain Named Entity Recognition by Instruction Tuning a Word-Embedding based Retrieval Augmented Large…
Diffusion Models as Network Optimizers: Explorations and Analysisby Ruihuai Liang, Bo Yang, Pengyu Chen, Xianjin…
Unlocking Your Sales Insights: Advanced XGBoost Forecasting Models for Amazon Productsby Meng Wang, Yuchen Liu,…