Zefang Liu

According to our database, Zefang Liu authored at least 17 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2025

Sensitivity Analysis of Transport and Radiation in NeuralPlasmaODE for ITER Burning Plasmas.

Zefang Liu, Weston M. Stacey

CoRR, July, 2025

Optimizing External Sources for Controlled Burning Plasma in Tokamaks with Neural Ordinary Differential Equations.

Zefang Liu, Weston M. Stacey

CoRR, July, 2025

EconWebArena: Benchmarking Autonomous Agents on Economic Tasks in Realistic Web Environments.

Zefang Liu, Yinzhu Quan

CoRR, June, 2025

AutoBnB: Multi-Agent Incident Response with Large Language Models.

Zefang Liu

Proceedings of the 13th International Symposium on Digital Forensics and Security, 2025

2024

Multi-Agent Collaboration in Incident Response with Large Language Models.

Zefang Liu

CoRR, 2024

Efficient Retrieval of Temporal Event Sequences from Textual Descriptions.

Zefang Liu, Yinzhu Quan

CoRR, 2024

TPP-LLM: Modeling Temporal Point Processes by Efficiently Fine-Tuning Large Language Models.

Zefang Liu, Yinzhu Quan

CoRR, 2024

Application of Neural Ordinary Differential Equations for ITER Burning Plasma Dynamics.

Zefang Liu, Weston M. Stacey

CoRR, 2024

InvAgent: A Large Language Model based Multi-Agent System for Inventory Management in Supply Chains.

Yinzhu Quan, Zefang Liu

CoRR, 2024

AdaMoLE: Fine-Tuning Large Language Models with Adaptive Mixture of Low-Rank Adaptation Experts.

Zefang Liu, Jiahua Luo

CoRR, 2024

Application of Neural Ordinary Differential Equations for Tokamak Plasma Dynamics Analysis.

Zefang Liu, Weston M. Stacey

CoRR, 2024

A Review of Advancements and Applications of Pre-Trained Language Models in Cybersecurity.

Zefang Liu

Proceedings of the 12th International Symposium on Digital Forensics and Security, 2024

EconLogicQA: A Question-Answering Benchmark for Evaluating Large Language Models in Economic Sequential Reasoning.

Yinzhu Quan, Zefang Liu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

SecQA: A Concise Question-Answering Dataset for Evaluating Large Language Models in Computer Security.

Zefang Liu

CoRR, 2023

Anomaly Detection of Command Shell Sessions based on DistilBERT: Unsupervised and Supervised Approaches.

Zefang Liu, John F. Buford

Proceedings of the Conference on Applied Machine Learning in Information Security, 2023

2021

Deep Reinforcement Learning based Group Recommender System.

Zefang Liu, Shuran Wen, Yinzhu Quan

CoRR, 2021

2020

Yelp Review Rating Prediction: Machine Learning and Deep Learning Models.

Zefang Liu

CoRR, 2020