Hao Zhu 朱昊

@zhuhao.me

AI researcher. Postdocing at Stanford NLP. Prev: PhD CMU LTI. Visit https://zhuhao.me Raising agents in the Opensocial.world

New personal project with my friend Michael Cho: RoboPapers, a podcast where we chat with authors of cool robotics papers and post the discussion on YouTube and spotify. First one was with Duan Jiafei, who did the very cool paper SAM2Act, and it goes up Friday.

🚨New Breakthrough in Tip-of-the-Tongue (TOT) Retrieval Research! We address data limitations and offer a fresh evaluation method for these complex queries. Curious how TREC TOT track test queries are created? Check out this thread 🧵 and our paper 📄: arxiv.org/abs/2502.17776

Tip of the Tongue Query Elicitation for Simulated Evaluation

Tip-of-the-tongue (TOT) search occurs when a user struggles to recall a specific identifier, such as a document title. While common, existing search systems often fail to effectively support TOT scena...

arxiv.org

We are getting closer to have agents operating in the real physical world. However, can we trust frontier models to make embodied decisions 🎮 aligned with human norms 👩‍⚖️ ? With EgoNormia, a 1.8k ego-centric video 🥽 QA benchmark, we show that this is surprisingly challenging!

Want to make a browser agent for *any* domain like banking or healthcare? We propose methods for training LLMs with open-ended, unsupervised interaction on live websites: ✅ OSS SoTA on WebVoyager ✅ world's smallest high-performing web-agent Try it here: nnetnav.dev

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Ever dreamed of AI agents learning through interacting with the open world unsupervisedly? Our latest preprint introduces NNetNav-Live which collects training data through exploration on real websites and hindsight labeling, which produces a SOTA OSS agent.

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With an increasing number of Large *Audio* Models 🔊, which one do users like the most? Introducing talkarena.org — an open platform where users speak to LAMs and receive text responses. Through open interaction, we focus on rankings based on user preferences rather than static benchmarks. 🧵 (1/5)

Talk Arena: Interactive Evaluation of Large Audio Models