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20202026
most citedYelp Review Rating Prediction: Machine Learning and Deep Learning Models

6 citations · 25 across the 20 of their papers we have counts for

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cs.CL2025

Temporal Tokenization Strategies for Event Sequence Modeling with Large Language Models

Zefang Liu, Nam H. Nguyen, Yinzhu Quan +1

Representing continuous time is a critical and under-explored challenge in modeling temporal event sequences with large language models (LLMs). Various strategies like byte-level r…

cs.CL2025★ 1 cited

AgentBnB: A Browser-Based Cybersecurity Tabletop Exercise with Large Language Model Support and Retrieval-Aligned Scaffolding

Arman Anwar, Zefang Liu

Traditional cybersecurity tabletop exercises (TTXs) provide valuable training but are often scripted, resource-intensive, and difficult to scale. We introduce AgentBnB, a browser-b…

cs.CL2025

AutoBnB-RAG: Enhancing Multi-Agent Incident Response with Retrieval-Augmented Generation

Zefang Liu, Arman Anwar

Incident response (IR) requires fast, coordinated, and well-informed decision-making to contain and mitigate cyber threats. While large language models (LLMs) have shown promise as…

physics.plasm-ph2025

A Generalized Multinodal Model for Plasma Particle and Energy Transport

Zefang Liu, Weston M. Stacey

We present a generalized multinodal model for simulating particle and energy transport in toroidal plasma configurations, developed to support burning plasma analysis and reactor-s…

physics.plasm-ph2025

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

Zefang Liu, Weston M. Stacey

Understanding how key physical parameters influence burning plasma behavior is critical for the reliable operation of ITER. In this work, we extend NeuralPlasmaODE, a multi-region,…

physics.plasm-ph2025

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

Zefang Liu, Weston M. Stacey

Achieving controlled burning plasma in tokamaks requires precise regulation of external particle and energy sources to reach and maintain target core densities and temperatures. Th…

cs.CL2025

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

Zefang Liu, Yinzhu Quan

We introduce EconWebArena, a benchmark for evaluating autonomous agents on complex, multimodal economic tasks in realistic web environments. The benchmark comprises 360 curated tas…