Evelyn Choi retweeted
HumanLM is accepted by ICML 🥁
Don’t miss our presentation at
HALL A #906, 5pm local time icml.cc/virtual/2026/poster/…
To be presented by two humans (@Es2C003, @ArpandeepKhatua) who understand HumanLM the best😉
Announcing 🌇HumanLM, a RL framework that trains LLMs to simulate human users’ responses, along with 🌆Humanual, a comprehensive user simulation benchmark
humanlm.stanford.edu/
🌄 One thing that’s fascinating about our society: human users shape the world and determine the value of almost everything
👨💼 Human reactions reflect how justifiable policies are
👩🎨 Human preferences determine the popularity of blogs/products/media
👩💻 Human feedback evaluates LLMs and makes the best LLM collaborators
🌅If we know how to simulate users **accurately**, we know how things are evaluated and what the future looks like, and we can improve things in a way that like or can collaborate well with.
So, meet HumanLM, our effort to enable a more human-centric future by simulating users.
Evelyn Choi retweeted
We share two blogs outside of the HumanLM paper: humanlm.stanford.edu/blog.ht…
Is Synthetic Data Good Enough to Train User Simulators? — by me and @ArpandeepKhatua
Persona Dropout Makes Robust User Simulators @Es2C003
+ Code is ready here! github.com/zou-group/humanlm
Announcing 🌇HumanLM, a RL framework that trains LLMs to simulate human users’ responses, along with 🌆Humanual, a comprehensive user simulation benchmark
humanlm.stanford.edu/
🌄 One thing that’s fascinating about our society: human users shape the world and determine the value of almost everything
👨💼 Human reactions reflect how justifiable policies are
👩🎨 Human preferences determine the popularity of blogs/products/media
👩💻 Human feedback evaluates LLMs and makes the best LLM collaborators
🌅If we know how to simulate users **accurately**, we know how things are evaluated and what the future looks like, and we can improve things in a way that like or can collaborate well with.
So, meet HumanLM, our effort to enable a more human-centric future by simulating users.
Evelyn Choi retweeted
Announcing 🌇HumanLM, a RL framework that trains LLMs to simulate human users’ responses, along with 🌆Humanual, a comprehensive user simulation benchmark
humanlm.stanford.edu/
🌄 One thing that’s fascinating about our society: human users shape the world and determine the value of almost everything
👨💼 Human reactions reflect how justifiable policies are
👩🎨 Human preferences determine the popularity of blogs/products/media
👩💻 Human feedback evaluates LLMs and makes the best LLM collaborators
🌅If we know how to simulate users **accurately**, we know how things are evaluated and what the future looks like, and we can improve things in a way that like or can collaborate well with.
So, meet HumanLM, our effort to enable a more human-centric future by simulating users.



