Agent4Edu: Generating Learner Response Data by LLM-based Agents for Intelligent Education Systems (AAAI 2025, Oral Presentation)

Official Code for SIGIR 2022 "A Multi-task Based Neural Model to Simulate Users in Goal Oriented Dialogue Systems". User Simulator generates user-side utterance, predicts user's next action and satisfaction level.

"Simulating User Satisfaction for the Evaluation of Task-oriented Dialogue Systems" in SIGIR'21

In-Context Learning User Simulators for Task-Oriented Dialog Systems

[KDD 2026] An automatic, extensible Framework to Evaluate User-Proxy Agents for Human-Likeness. 🌟 Star if you like it!

Modeling user satisfaction dynamics using a discrete Hawkes process

Plug-and-play reproducible web analysis.

An LLM-powered conversational simulation framework for Discord, featuring autonomous action planning, safety filtering, and multi-provider LLM integration for research and controlled testing.

🔬 Educational web automation tool showcasing advanced techniques. 🚫 Not for malicious use. 🎓 Learn responsibly!

Code for paper "IvCDS: An End-to-end Driver Simulator For Personal In-vehicle Conversational Assistant"

Emulate user activity randomly opening apps through Explorer to generate "legit noise" for EDR and any other log-type collection technology.

Multi-Agent User Simulation & Chaos Lab — A 12-agent LangGraph pipeline that generates diverse user personas, executes multi-step journeys with vulnerability-guided chaos injection, detects anomalies across three analytical layers, and discovers novel edge cases with automated pytest stub generation.

OpenCode plugin that predicts your next message and shows it as ghost text — role-plays as you using your conversation history. /pred-on to enable.

Access and test terminal session like a table of chars.

LLM-based User Simulation Agent for the AgentSociety Challenge. Features Chain-of-Thought reasoning, Iterative RAG, and User Persona extraction. Achieved +5.06% review generation quality over baseline.

Multi-agent beta testing framework where LLaVA vision agents form committees to test web apps. Agents analyze screenshots, discuss actions, vote on consensus, and catch bugs + security vulnerabilities. Playwright browser automation, Streamlit dashboard, FastAPI backend.

Toolkit and benchmark suite for evaluating user simulators in IR: behavioral realism vs. tester reliability, over one canonical session schema — SIGIR 2026