AI Bank Statement Document Automation By LLM model and Personal Finanical Analysis

Repository for collecting and categorizing papers outlined in our survey paper: "Large Language Models on Tabular Data -- A Survey".

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Beam prediction based on large language models, IEEE Wireless Communications Letters

Exploring Large Language Models for Trajectory Prediction: A Technical Perspective

The code for "AttentionPredictor: Temporal Pattern Matters for Efficient LLM Inference", Qingyue Yang, Jie Wang, Xing Li, Zhihai Wang, Chen Chen, Lei Chen, Xianzhi Yu, Wulong Liu, Jianye HAO, Mingxuan Yuan, Bin Li.

Predict the performance of LLM inference services

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Developed an end-to-end stock price prediction model by integrating LLM-based sentiment analysis of financial news with time series forecasting, leveraging Python, TensorFlow, and Hugging Face Transformers; achieved enhanced prediction accuracy by incorporating sentiment data.

Github Repository for the NUS Business School (ML09) Guest Lecture on "Textual Analysis, ChatGPT and Stock Return Prediction".

Large Language Model Capabilities in Perioperative Risk Prediction and Prognostication

Generating tabular data via Large Language Models (LLMs)

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Training LLMs on some of the popular kaggle datasets

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This project explores the predictive power of large language models (LLMs) on voter behavior using social media data. By integrating demographic information with user-generated content such as tweets, the study compares the performance and biases of different LLMs in forecasting voter preferences. The analysis highlights the importance of data dive

This repository contains the code for our paper "Probabilities of Chat LLMs Are Miscalibrated but Still Predict Correctness on Multiple-Choice Q&A", published in Transactions on Machine Learning Research in 2025 (https://openreview.net/forum?id=E6LOh5vz5x). Correspondence to plaut@berkeley.edu.

This project aims to compare the performance of various open-source Large Language Models (LLMs) in predicting the price movements of cryptocurrencies and stocks. The goal is to assess how well these models handle price prediction tasks in financial markets with different levels of volatility, such as cryptocurrencies and traditional stocks.

LLM提示词工程+交通流量预测实验；目前包含常见提示词设计、缓存API调用结果、数据集和结果基本操作等。

Intent prediction with the help of LLMs (RAG)

Fine-tuning OpenAI models to predict product prices from text descriptions.

AI-Powered Data Analysis and Prediction App

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An intelligent system that combines predictive analytics, LLMs, and RAG to assess diabetes risk, offer lifestyle recommendations, and provide context-aware support using Eswatini health data. 🧠 Powered by explainable AI for smarter, localized health decisions. 🏆 Winner – IndabaX Eswatini 2024 Poster Presentation.

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Stock market prediction using LLMs like ChatGPT, Gemini, etcetera.

The strategy of material dataset based on Tokens, utilizing LLM to achieve material prediction, discovery, and design.

This repository contains the code and data accompanying our paper on biochar property prediction. We integrate traditional machine learning with Large Language Models (LLMs) to predict multiple biochar properties, providing a complete workflow from data preparation to model training and evaluation.