Jibang Wu

🔮 Introducing Prophet Arena — the AI benchmark for general predictive intelligence. That is, can AI truly predict the future by connecting today’s dots? 👉 What makes it special? - It can’t be hacked. Most benchmarks saturate over time, but here models face live, unseen future events. You can’t memorize tomorrow (unless you’ve cracked time travel). - It’s interpretable. Strong performance = real foresight, which translates into real investment gains. 👉 Check it out: prophetarena.co

1/🚀Excited to share our AI Realtor project! 🏡 We challenge AI to help sell real estate! This is an interdisciplinary agent work combining economy, personalization & LLM persuasion. More details are below! 👇

❓Can LLM agents generate personalized persuasive language than human experts while staying truthful? 🏡 We conducted an experiment with human home buyers and the answer is YES! Learning from Zillow real estate listings, our AI Realtor wins over human experts (Elo 1315 v 947)

How to persuade a sequence of myopic agents towards a long-term objective? Check out our recent work on Markov Persuasion Process (MPP) and its Efficient Reinforcement Learning: arxiv.org/pdf/2202.10678…! joint work with @zhuoran_yang @zhaoran_wang @charleo85 and other folks

Congrats to University of Virginia @CS_UVA for wining #MACCDC 2018 - Amazing work by @Abiusx, @RomanBohuk, @saul_panders, @charleo85, @D4nch3n, @mariah_kenny13, @jtsmith282, @CalvinKrist, Quintin DeGroot, and @aicsuva