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Research & Papers· 2026-10-08#Long Memory#Sequence Models#Resource Optimization#Prediction Error#Fractional Long Memory
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arXiv has released a study on the resource requirements of sequence models with long-range…
LLMs & Foundation Models· 2026-10-08
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arXiv has released a new study on ensuring safe reasoning for agentic AI, introducing the …
LLMs & Foundation Models· 2026-10-08
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arXiv has recently released KVFetch, a novel framework designed to address the issue of se…
LLMs & Foundation Models· 2026-10-08
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This study evaluates the out-of-distribution performance of the widely adopted geospatial …
Agentic· 2026-10-08
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arXiv introduces Station AI Agent, an AI framework designed to tackle open-ended scientifi…
LLMs & Foundation Models· 2026-10-08
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arXiv introduces AdaGuard, an innovative LLM-as-a-Judge framework designed to address the …
Agentic· 2026-10-08
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arXiv has released a study introducing the Agent Plasticity framework, which quantifies ho…
Agentic· 2026-10-08
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arXiv has introduced SAUCE (Sequential Agent Uncertainty through Consensus Evolution), a n…
Research & Papers· 2026-10-08
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arXiv has released a study proposing a novel AI failure-mode analysis framework to assess …
Research & Papers· 2026-10-08
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arXiv has released a study on predicting depression outcomes at 12 and 24 weeks following …
Agentic· 2026-10-08
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arXiv has released an empirical study on the downstream utility of Agent Skills, focusing …
Research & Papers· 2026-10-08
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arXiv has released a study extending the previously proposed QuanLing framework for langua…
