Heading to 🇸🇬ICLR next week! Can’t wait to catch up with old friends and meet new ones — let’s chat about RL, reward models, alignment, reasoning, and agents! Also, fun fact🤓: Yunyi won’t be there physically, but his digital twin will be attending instead. Stay tuned!

The oral sessions and poster sessions are happening at the same time, so it actually feels like the oral speakers are just talking to each other🤣

Glad to be there with Hao Sun - RL presenting our work openreview.net/forum?id=rfdbl…

ICLR wrapped! Eggie and Toastie said it was the BEST🥰

OpenReview Justice!

Happy to share that our paper on "Active Reward Modeling" has been accepted to ICML 2025! #ICML2025 The part I like the most about the project is its simplicity! Huge thanks to my amazing co-authors Yunyi Shen/申云逸 🐺 Hao Sun - RL More to come! For more detailed 🧵 see 👇

📢New Paper on Process Reward Modelling 📢 Ever wondered about the pathologies of existing PRMs and how they could be remedied? In our latest paper, we investigate this through the lens of Information theory! #icml2025 Here’s a 🧵on how it works 👇 arxiv.org/abs/2411.11984

AI cannot feel time, then how can it really understand humans?

"Knowledge belongs to humanity, and is the torch which illuminates the world." — Louis Pasteur Especially for those contributed by the community.

Now with Qwen’s RL-fine-tuning results, are we witnessing a quiet return of prompt optimization/engineering? Now we have a 2-player game: users become “lazy prompters”, but the system prompts (e.g. thinking patterns) need to be highly optimized. Next: Bi-level optimization?

This is SCIENCE🚀!!!

🚀 RL is powering breakthroughs in LLM alignment, reasoning, and agentic apps. Are you ready to dive into the RL x LLM frontier? Join us at ACL 2025 ACL’25 tutorial: Inverse RL Meets LLM Alignment this Sunday at Vienna🇦🇹(Jul 27th, 9am) 📄 Preprint at huggingface.co/papers/2507.13…