MIT CSAIL recently released a paper on recursive language model (RLM), which has attracted considerable attention. This research, published at the end of 2025 on (arXiv:2512.24601) by the team of Alex L. Zhang, Tim Kraska, and Omar Khattab, addresses a very interesting core question: when you want to enhance a model's reasoning ability and internal coherence, how can it be done more elegantly?
The paper adopts a quite clean engineering approach, directly targeting the core issue. The potential of recursive structures in handling complex reasoning chains has always been promising, but how to ac
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