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LLMs & Foundation Models· 2026-10-22#ReAPO#LLM Reasoning#Policy Optimization#Reinforcement Learning
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ReAPO (Retry-Aware Policy Optimization) is a novel approach for optimizing language model …
Research & Papers· 2026-10-22
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A new arXiv paper introduces a series of Offline Apprenticeship Learning (AL) frameworks d…
Research & Papers· 2026-10-22
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A recent arXiv study challenges the state-of-the-art claims of LLM-based methods for node …
Research & Papers· 2026-10-22
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The arXiv introduces STAR-XPC, a neural network model designed for rapid estimation of X-r…
LLMs & Foundation Models· 2026-10-22
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ArXiv has introduced SimHack, a simulator designed to predict the onset of detectable rewa…
Research & Papers· 2026-10-22
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arXiv introduces the Simultaneous Neural Topology Optimization (SNTO) framework to address…
Compute & Architecture· 2026-10-22
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arXiv has released a comprehensive survey on the application of Reinforcement Learning (RL…
Agentic· 2026-10-22
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arXiv introduces TF-IG, a lightweight heart rate estimation framework that leverages cross…
Agentic· 2026-10-22
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arXiv has released a study investigating the impact of continued pre-training (CPT) on emb…
LLMs & Foundation Models· 2026-10-22
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arXiv has introduced KVLearn, a novel learning-based framework for optimizing KV cache ret…
LLMs & Foundation Models· 2026-10-22
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arXiv has released Jev, a decision language model designed to address the high cost and in…
Agentic· 2026-10-22
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arXiv has introduced the Successive Scale Racing (SSR) framework, designed to address the …
