Market making (MM) has attracted significant attention in financial trad...
One of the most important tasks in quantitative investment research is m...
Large language models (LLMs) have made significant strides in various ta...
The rapid advancement of Large Language Models (LLMs) has led to extensi...
Diffusion models have gained significant attention in the realm of image...
Large language models (LLMs) can achieve highly effective performance on...
Long-form numerical reasoning in financial analysis aims to generate a
r...
Most existing pre-trained language representation models (PLMs) are
sub-...
Due to the instability and limitations of unimodal biometric systems,
mu...
Vulnerability reproduction paves a way in debugging software failures, w...
This paper presents VisMCA, an interactive visual analytics system that
...
This paper proposes a model-based framework to automatically and efficie...
In this work, we address the problem of learning to seek novel policies ...
Interpretability is crucial for machine learning in many scenarios such ...
We present GluonCV and GluonNLP, the deep learning toolkits for computer...
In this work, we explore emergent behaviors by swarms of anonymous,
homo...
The automobile Real-Time Operating System (RTOS) is hard to design and
i...
We report on the methods used in our recent DeepEnsembleCoco submission ...