FinLlama: Financial Sentiment Classification for Algorithmic Trading Applications

no code implementations • 18 Mar 2024 • Thanos Konstantinidis, Giorgos Iacovides, Mingxue Xu, Tony G. Constantinides, Danilo Mandic

This is achieved by fine-tuning the Llama2 7B model on a small portion of supervised financial sentiment analysis data, so as to jointly handle the complexities of financial lexicon and context, and further equipping it with a neural network based decision mechanism.

Algorithmic Trading Classification +2

TensorGPT: Efficient Compression of the Embedding Layer in LLMs based on the Tensor-Train Decomposition

no code implementations • 2 Jul 2023 • Mingxue Xu, Yao Lei Xu, Danilo P. Mandic

High-dimensional token embeddings underpin Large Language Models (LLMs), as they can capture subtle semantic information and significantly enhance the modelling of complex language patterns.

Private Training Set Inspection in MLaaS

no code implementations • 15 May 2023 • Mingxue Xu, Tongtong Xu, Po-Yu Chen

In this case, the training datasets are typically a private possession of the ML or data companies and are inaccessible to the customers, but the customers still need an approach to confirm that the training datasets meet their expectations and fulfil regulatory measures like fairness.

Fairness Multiple Instance Learning

Data Origin Inference in Machine Learning

1 code implementation • 24 Nov 2022 • Mingxue Xu, Xiang-Yang Li

We formally define the data origin and the data origin inference task in the development of the ML model (mainly neural networks).

Inference Attack Memorization