Zhihu Frontier (@ZhihuFrontier)

🔥 Why Agentic RL for LLMs is harder (and more practical) than you think — sharing from Zhihu contributor skydownacai These are hands-on takeaways from months of running agent RL (search agents, data-analysis agents) across dense & MoE models, single-source and multi-source data. Precise, practical,...

Why do LLMs hallucinate—and can we fix it at the architectural level? 🤯 NeurIPS 2025 Paper Credal Transformer offers a bold answer. One of the paper's authors 栀染, breaks down the core insight on Zhihu: 🧠 The Core Problem: Softmax = Forced Certainty Current Transformers are architecturally predispos...