Guowei Xu
@Kevin_GuoweiXu • 2,933 subscribers
Undergraduate student at Tsinghua University
Videos
🚀 Where does intelligence reside? The paradigm in modern AI suggests: scale up a single model, train it on more data, and general intelligence may emerge. Yet Society of Mind proposed another possibility: intelligence may emerge from interactions of less intelligent agents. As we keep scaling up a few generalist agents shared by everyone, can we scale up societies of decentralized agents that work together and collectively achieve more than any one of them could alone? We introduce MPT: Market-based Post-Training, a framework to train such societies of agents by jointly learning agent policies and self-orchestration in a decentralized manner.
Guowei Xu37,387 views • 18 days ago
🚀 How should LLMs sample on hard reasoning problems during post-training and inference where direct rollouts rarely produce a correct answer? Best-of-N (e.g., GRPO) and tree search share two limitations: 🔻 Verification signals are sparse 🔻 Candidates stay within the model's own distribution We introduce BES: Bidirectional Evolutionary Search — a search framework that couples forward candidate evolution with backward goal decomposition. ✅ Works for both post-training and inference.
Guowei Xu249,508 views • 5 months ago
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