user-simulation

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!

A swarm of AI users that test your website in real browsers — visualized as a pixel-art aquarium. Live friction maps, multi-user scenes, up to 1,000 sessions on one laptop.

Official codebase for the paper "MIMESIS: Learning User Simulators as Training Environments for Interactive Agents"

Scenario Testing for AI Agents

τ-Rec: verifiable benchmarks for agentic conversational recommenders. The original movies benchmark (ACM RecSys 2026 Resource Track) and τ-Rec-Books, a controlled books benchmark on Wikidata (ECIR 2027 submission).

Plug-and-play reproducible web analysis.

Modeling user satisfaction dynamics using a discrete Hawkes process

Knowledge-state-aware user simulator for evaluating information calibration in LLM assistants (arXiv:2608.17150)

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

Dynamic E2E Agentic Simulation and Evaluation with Cypress, Playwright, stagehand

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

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.

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

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

Access and test terminal session like a table of chars.

LLM customer agents simulate a real randomized A/B test; measuring how faithfully the simulation reproduces the real treatment effects.