Author

Zheng Li

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Preprint Oct 2026

Agentic Knowledge-Model Co-Evolution via Consistency Regularization

LLM agents can evolve by learning from accumulated experience. Existing approaches extract reusable external knowledge, such as skills and memories, from experience to guide subsequent task solving, with some further internalizing this knowledge through model training. However, different ways of analyzing and transform...

Sirui Chen, Zhi-Ning Liu, Chao Zhang et al. · 0 citations

#artificial intelligence Preprint Oct 2026

AlphaBet: Reinforcement Learning for LLM Event Forecasting Agents

Forecasting an unresolved event requires finding relevant evidence and deciding how strongly it supports each outcome. Yet outcome-based training of Large Language Model (LLM) forecasters often begins with preassembled evidence at a single prediction date, leaving evidence acquisition outside the learning loop. We intr...

Li-Qin Ye, Rong-Zhi Zhang, Xin Liu et al. · 0 citations