4 papers
Improved Evidence Extraction and Metrics for Document Inconsistency Detection with LLMs
Nelvin Tan, Yaowen Zhang, James Asikin Cheung +3
Large language models (LLMs) are becoming useful in many domains due to their impressive abilities that arise from large training datasets and large model sizes. However, research…
Paid with Models: Optimal Contract Design for Collaborative Machine Learning
Bingchen Wang, Zhaoxuan Wu, Fusheng Liu +1
Collaborative machine learning (CML) provides a promising paradigm for democratizing advanced technologies by enabling cost-sharing among participants. However, the potential for r…
Autocorrelation Matters: Understanding the Role of Initialization Schemes for State Space Models
Fusheng Liu, Qianxiao Li
Current methods for initializing state space model (SSM) parameters primarily rely on the HiPPO framework \citep{gu2023how}, which is based on online function approximation with th…
From Generalization Analysis to Optimization Designs for State Space Models
Fusheng Liu, Qianxiao Li
A State Space Model (SSM) is a foundation model in time series analysis, which has recently been shown as an alternative to transformers in sequence modeling. In this paper, we the…