Researchllmrecurrent inferenceonline learning
LLM-as-RNN Enables Recurrent Inference With Memory
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9.2
Researchers propose LLM-as-RNN, an inference-only framework (submitted Jan 19, 2026) that turns frozen LLMs into recurrent predictors by representing hidden state as structured natural-language prompt memory. The state is updated each timestep via feedback-driven text rewrites, enabling online learning without parameter updates; evaluated on healthcare, meteorology, and finance across Llama, Gemma, and GPT families, it improves predictive accuracy by 6.5% on average.
Scoring Rationale
High novelty and broad, cross-domain applicability; limited credibility because results come from a single arXiv preprint without peer review.
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