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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About Me
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Posts
Future Blog Post
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Blog Post number 4
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Blog Post number 3
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Blog Post number 2
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Blog Post number 1
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portfolio
Portfolio item number 1
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projects
Reversed Reversi(Alpha Zero)
Alpha Zero, Reinforcement Learning(RL), Evolutionary Algorithm(EA), Monte Carlo Tree Search(MCTS)
2022Designed an AI for reversed reversi, and used alpha zero to build the AI model. Also applied evolutionary algorithm to optimize the weight in the reinforcement learning training network. The model won the 1st place in SUSTech in the grade with 402 wins, 1 loss and 1 draw, leading significantly in winning rate.
GroceryHelper
Firebase, Computer Vision(CV), Frontend, Backend
2023GroceryHelper is a mobile app that enables users to identify the quantity and expiration dates of groceries by simply uploading photos. The app intelligently recommends recipes based on the shelf life of the groceries and sends email reminders before the items expire. This helps users manage their pantry efficiently and reduce food waste by suggesting timely culinary uses for the ingredients they have on hand.
SUSTech Library Webpage
Data Mining, Database, Frontend, Backend
2023The SUSTech Library Webpage utilizes data mining and analysis techniques to compile and analyze borrowing and access data from faculty and students across the entire school. This results in the production of reports that help the school optimize the borrowing experience. Additionally, personalized user profiles are provided for each user.
EvoXbench: All-In-One Neural Architecture Search Framework
Neural Architecture Search(NAS), Benchmark, Evolutionary Algorithm(EA)
2023EvoXbench is an open-source library that serves as a comprehensive framework for the development of Neural Architecture Search (NAS) algorithms. It integrates all essential technologies and provides user-friendly Python and MATLAB interfaces, enabling the easy testing and development of algorithms. Key tasks included the collection, extraction, and curation of extensive NASBench datasets using Django’s ORM framework, and training an MLP surrogate model using PyTorch while overseeing the experimental processes.
Heterogeneous Bert
Bert, Neural Architecture Search(NAS), Knowledge Distillation, Evolutionary Algorithm(EA), Super-Network
2023We have implemented a neural architecture search and a super-network training framework for heterogeneous BERT models. Given the search space and a teacher model, the super-network is automatically trained and the network structures are evaluated using balanced Pareto sampling. Compared to traditional neural architecture search frameworks, our approach achieves higher accuracy, faster convergence for sub-models, and superior performance under the same structural configurations.
Domain Specific Language for Online Judger
Domain Specific Language(DSL), Security, Remote procedure call(RPC), K8S, Docker, Sandbox, Rust, Compiler
2023The Domain Specific Language for Online Judger is a DSL implemented using macros in Rust. It allows users without any Rust or programming knowledge to define evaluation tasks using simple statements. This DSL supports a variety of functions, including defining file systems, setting up runtime environments (such as nsjail, Docker, VMs), and specifying tasks. The compiler translates this DSL into Rust code for execution, ensuring high operational efficiency.
Multi Person Conference, Remote Control System
Network, Electron, Frontend, Backend, Multi-Platform, P2P
2023Design and implement a cross-platform remote multi-person conference, chat, remote control system. I took charge of all parts, used QUIC protocol to encapsulate the packets, Electron for multi-platform frontend, and applied P2P for decentralized permission verification This project won the highest grade in the class!
SUSTech Online Judge (OJ) System: JCoder
Security, Remote procedure call(RPC), K8S, Docker, Sandbox, Database, Frontend, Backend
2023JCoder a scalable online judge system to evaluate code correctness across multiple programming languages including C/C++, Java, JUnit, SQL, Python, MIPS and Verilog. The system passed third-party penetration testing and is now officially used by the Computer Science Department at Southern University of Science and Technology (SUSTech) , serving over 3,500 students in 13 courses.
SageCube
Large Language Model(LLM), Retrieval-Augmented Generation(RAG), Agent, Tool Call, Electron, Agent Platform
2023SageCube is an AI assistant designed for desktop use and is currently being tested on Steam. Powered by an LLM, SageCube offers a visually appealing user interface. Users can interact with interactive Live2D and 3D virtual avatars using voice or text. SageCube supports various voice models for text-to-speech functionality, enabling users to interact primarily through voice. Additionally, through Steam’s Workshop, users can upload and install various tools and acquire agents, enhancing the functionality and customization of SageCube.
GentBench
Large Language Model(LLM), LLM Evaluation, Benchmark
2024Benchmark and Evaluation for Gentopia. A good ALM Benchmark should aim to solve problems and tasks hard/unsolvable by LLMs (else there is no meaning to pay tool tax). Tasks in Gentbench will be half-public and half-private. We open-source a demonstrative public benchmark to encourage agent tuning, but will use a private bench (of similar distribution) for fair eval.
Gentopia.AI
Large Language Model(LLM), Retrieval-Augmented Generation(RAG), Agent, Tool Call
2024Gentopia is a lightweight and extensible framework for LLM-driven Agents and ALM research. It provides essential components to build, test and evaluate agents. At its core, Gentopia aims to assemble an agent with a single config, thus minimizing your effort in building, tuning, and sharing agents.
Merry Query
Large Language Model(LLM), Retrieval-Augmented Generation(RAG), Agent, Frontend, Backend
2024MerryQuery is an AI-powered educational assistant that utilizes retrieval-augmented generation (RAG) to provide students with tailored responses based on course materials.This tool is designed to support both teachers and students. Teachers can input course materials, and define data controls to prevent undesirable content generation. Students receive responses tailored to their previous interactions and course materials with references. You can visit our website for more information: https://exploremq.benyamintabarsi.com/
Magics.AI
Machine Learning(ML) System, Fine-Tuning, Large Language Model(LLM), K8S, Docker, Frontend, Backend
2024Magics.AI is an open-source platform designed for the academic community, providing tools for fine-tuning and inference of large language models (LLMs) with reduced costs and latency. It supports distributed resource integration across institutions, features a Python SDK and user-friendly interface, and lowers the technical barrier for model fine-tuning. Additionally, Magics.AI supports Embodied AI, enabling LLMs to control robotic systems and interact with virtual environments, bridging language understanding and physical actions for interdisciplinary research.
publications
Gentopia.AI: A Collaborative Platform for Tool-Augmented LLMs
Binfeng Xu, Xukun Liu, et al., 2023
Gentopia is a lightweight and extensible framework for LLM-driven Agents and ALM research. It provides essential components to build, test and evaluate agents. At its core, Gentopia aims to assemble an agent with a single config, thus minimizing your effort in building, tuning, and sharing agents.
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ToolNet: Connecting Large Language Models With Massive Tools
Xukun Liu, Zhiyuan Peng, DK Xu, 2024
We introduce ToolNet, a plug-and-play method to assists LLMs in handling massive tools. ToolNet organizes tools in a weighted directed graph (node represents tools and edges denote tool transition) based on the tool-use trajectories produced by LLMs. An LLM navigates in the graph by iteratively choosing the next one from its successors until the task is resolved. Graphs are updated online, enabling adjustment to accommodate the frequent updates of tools and new tasks.
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LawLLM: Law Large Language Model for the US Legal System
Dong Shu, Haoran Zhao, Xukun Liu, David Demeter, Mengnan Du, Yongfeng Zhang, 2024
We introduce LawLLM, a multi-task model designed for the US legal domain, excelling in Similar Case Retrieval (SCR), Precedent Case Recommendation (PCR), and Legal Judgment Prediction (LJP). LawLLM distinguishes between similar and precedent cases, providing clarity for future research. We apply customized data preprocessing, in-context learning, and advanced information retrieval methods to transform raw legal data into a trainable format. LawLLM outperforms existing baselines in zero-shot and few-shot scenarios, addressing key challenges in legal analytics.
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Adaptive Draft-Verification for Efficient Large Language Model Decoding
Xukun Liu, Bowen Lie, Ruqi Zhang, Dongkuan Xu, 2024
We introduce an LLM decoding acceleration method that requires no fine-tuning. Our approach involves an adaptive draft-verification process that evolves over time to improve efficiency. We utilize a tri-gram matrixbased LLM representation to dynamically approximate the output distribution of the LLM, allowing the model to adjust to changing token probabilities during the decoding process.
Download here
MerryQuery: A Trustworthy LLM-Powered Tool Providing Personalized Support for Educators and Students
Benyamin Tabarsi, Aditya Basarkar, Xukun Liu, Dongkuan Xu, Tiffany Barnes, 2024
The potential of Large Language Models (LLMs) in education is not trivial, but concerns about academic misconduct, misinformation, and overreliance limit their adoption. To address these issues, we introduce MerryQuery, an AI-powered educational assistant using Retrieval-Augmented Generation (RAG), to provide contextually relevant, course-specific responses. MerryQuery features guided dialogues and source citation to ensure trust and improve student learning. Additionally, it enables instructors to monitor student interactions, customize response granularity, and input multimodal materials without compromising data fidelity. By meeting both student and instructor needs, MerryQuery offers a responsible way to integrate LLMs into educational settings.
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.