98 citations · 113 across the 5 of their papers we have counts for
5 papers
From Feedback Loops to Policy Updates: Reinforcement Fine-Tuning for LLM-Based Alpha Factor Discovery
Lingzhe Zhang, Tong Jia, Yunpeng Zhai +5
Modern quantitative trading increasingly relies on systematic models to extract predictive signals from large-scale financial data, where alpha factor discovery plays a central rol…
ScaleFormer: Span Representation Cumulation for Long-Context Transformer
Jiangshu Du, Wenpeng Yin, Philip Yu
The quadratic complexity of standard self-attention severely limits the application of Transformer-based models to long-context tasks. While efficient Transformer variants exist, t…
Hypergraph Enhanced Knowledge Tree Prompt Learning for Next-Basket Recommendation
Zi-Feng Mai, Chang-Dong Wang, Zhongjie Zeng +3
Next-basket recommendation (NBR) aims to infer the items in the next basket given the corresponding basket sequence. Existing NBR methods are mainly based on either message passing…
Towards Complex Dynamic Physics System Simulation with Graph Neural ODEs
Guangsi Shi, Daokun Zhang, Ming Jin +2
The great learning ability of deep learning models facilitates us to comprehend the real physical world, making learning to simulate complicated particle systems a promising endeav…
Generalizing to Unseen Domains: A Survey on Domain Generalization
Jindong Wang, Cuiling Lan, Chang Liu +6
Machine learning systems generally assume that the training and testing distributions are the same. To this end, a key requirement is to develop models that can generalize to unsee…