Jasper Leo

Jasper Leo

Gain and loss are equal.

Timeline 🕰

2024

Rebuttal of AllTogether: Investigating the Efficacy of Spliced Prompt for Web Navigation using Large Language Models

less than 1 minute read

Published:

This paper was submitted to COLING 2024 based on the “Class of Talent” Innovation Fund Program. The paper investigates the performance and evaluation of intelligences based on a generalized LLM in accomplishing the Web Navigation task, and designs the AllTogether method to enhance the language grounding capability of the pretrained language model.

2023

CHI alt 2024 Conference Reviewer

less than 1 minute read

Published:

CHI conference is called ACM Conference on Human Factors in Computing Systems, which belongs to CCF-A category. CHI has an open review channel for alt.CHI papers, which allows anyone to review papers under real names.

Financial Data Prediction Based on Wavelet Analysis and Kalman Filter Algorithms

less than 1 minute read

Published:

The experimental part uses real stock market data, denoising and feature extraction of the data by wavelet analysis, and Kalman filtering for state estimation and prediction. The experimental results show that the method of combining wavelet analysis and Kalman filtering can significantly improve the accuracy of prediction compared to using traditional prediction models alone.

The Law Large Language Model Project

less than 1 minute read

Published:

This project mainly relies on the technical route of prompt learning and partial parameter fine-tuning of open-source large language models to realize a large-model intelligent assistant in the legal vertical field for professionals and the public, targeting legal documents, Q&A and legal data. I am responsible for framework design, deployment fine-tuning, evaluation session and interaction design. Check our project’s code, dataset and checkpoints in github.

Meta-DM: Applications of Diffusion Models on Few-Shot Learning

less than 1 minute read

Published:

A paper was produced and submitted to the NIPS 2023 conference and has been rejected. The paper investigates a data augmentation application of the mainstream diffusion model on the small sample task of images. It mainly proposes the Meta-DM framework and verifies that several mainstream algorithms combined with Meta-DM can significantly improve their performance and achieve SOTA.

2022

AllTogether: Investigating the Efficacy of Spliced Prompt for Web Navigation using Large Language Models

less than 1 minute read

Published:

This paper was submitted to COLING 2024 based on the “Class of Talent” Innovation Fund Program. The paper investigates the performance and evaluation of intelligences based on a generalized LLM in accomplishing the Web Navigation task, and designs the AllTogether method to enhance the language grounding capability of the pretrained language model.

Graduation Design

less than 1 minute read

Published:

The title of this graduation design is “Research on Hierarchical Reinforcement Learning Algorithm Based on Option”. After thorough research and thesis study, I implemented an algorithm improvement based on the mainstream IOC algorithm, and tested it in multiple environments for specific evaluation metrics, and verified the improvement of reward scores and interpretability metrics.

Stealth Startup AI Algorithm Engineer Internship Experience

less than 1 minute read

Published:

The company is an overseas startup located in Canada, which wants to build Artificial General Intelligence (AGI) applications in several fields based on the hot technology of large language model. During my internship, I collaborated with several colleagues to develop and deploy web-based AGI intelligences for the Kapwing video editing website and the Instantly email management website based on the techniques of prompt engineering and tool learning.

‘QA-BOT’ Business Q&A Robot

less than 1 minute read

Published:

QA-BOT is an edge AI deployment that detects human gaze, recognizes speech, and implements various business Q&A dialogues based on few-shot learning implemented by open-source large language models. It is low cost, lightweight and easy to fine-tune compared to the market.

A Gesture-Assisted Real-Time Image Description Smart Hardware

less than 1 minute read

Published:

The project deploys deep learning algorithms such as Image Captioning and gesture recognition in AI hardware training. It helps people to get a summary description of the screen or environment and assists visually impaired people to understand their surroundings.

2021

2020

Social APP ‘MINT’

less than 1 minute read

Published:

Based on uniapp and uniCloud, we implemented MINT, a campus social networking application based on “small tasks” and user personality portraits, using recommendation algorithms, front-end and back-end technologies, javascript programming, etc.

2019

Intelligent Car ‘GrandPa’

less than 1 minute read

Published:

The project covers environmental monitoring, intelligent tracking based on AprilTag, four-axis motor drive, and wifi image transmission and remote control. The project is based on python embedded implementation of face recognition, target tracking and other functions.