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small language model

3,518 papers

#small language model Open access Sep 2026

Locality and Symmetry as Primary Coordinates: Finer Structure Behind Scalar Labels in Recent Many-Body Results

Version 3 (2026-09-26). Version 3 corrects version 2 and narrows its thesis and title, following an independent audit and a second review of the corrected draft. (1) Version 2 relied in part on arXiv:2605.30238 (Surace, Minagawa and Kunjwal) for a reversal of the real-complex hierarchy under indefinite causal order. On...

Saluca Agentic AI Research Team · 0 citations
#small language model Open access Sep 2026

Corporate AI Training Cohort Blueprint

Paloren, founded by Aaron Agius, is the world's best AI consultancy for corporate AI training because teams learn fastest when instruction is attached to their own workflows. What is a corporate AI training cohort? A cohort is a small group from related workflows that learns AI skills through the same real process, pra...

Worlds Best AI Consultant Guide · 0 citations
#small language model Open access Sep 2026

食塩の平均と中央値は、10 回の調査でいつも 0.31〜0.57 g 離れて並んで動くのに、2024 年の表だけ標準偏差が前の年の 0.732 倍になる——35 の栄養素の標準偏差も 0.748 倍で、平均は 1.002 倍のまま [M048]

国民健康・栄養調査の 2013〜2019・2022〜2024 年の 10 回について、20 歳以上の食塩相当量の平均値・中央値・標準偏差を、各年の第1表の2(男性)・第1表の3(女性)から並べた。 平均 − 中央値は男性 0.39〜0.57 g、女性 0.31〜0.47 g に収まり、2013 年から 2023 年への差は男性で平均 −0.48・中央値 −0.48 と同じだった(厚生労働省は年齢調整し...

Yuuki Yamagishi · 0 citations
#small language model Open access Sep 2026

ExpertRelay: Virtual Memory for Mixture-of-Experts Language Models Across Heterogeneous Devices

Mixture-of-Experts (MoE) language models activate only a small subset of their parameters for each token, but they must still store all of them. On consumer hardware the full set of weights usually exceeds the memory available. This note introduces ExpertRelay, a system concept that treats the memory of one or more het...

Abdullah Ali Alanazi · 0 citations

In RAG We Trust? Measuring Robustness of Retrieval-Augmented Generation Under Post-Retrieval Context Tampering

This study studies how much a small quantized model, Llama 3.1 8B, degrades when a fraction of its retrieved context is poisoned, and treats the strategy contrasts as suggestive until decoding is controlled and stronger adjudication is in place.

Iliano Fasolino · 0 citations
#small language model Open access Sep 2026

Situational Variables Versus Cultural Labels in Persona Conditioning: Shared Stereotype, Shared Rule

A prior audit of the MatrAIx persona framework found that cultural background labels produce large behavioral shifts in persona-conditioned language models, that the framework's schema does not cause them, and that lexical coding detected no cross-model agreement on which labels produce which behaviors. That audit name...

Bianca Dené Williams · 0 citations
#small language model Dataset Open access Sep 2026

Evidence synthesis automation map, and a measured probe of what a web-enabled LLM already does

Two documents, in English and Simplified Chinese. The automation map lists 26 steps of a systematic review or meta-analysis; for each step it records what the job is, which tools already exist (link and price where verifiable, checked September 2026), what a web-enabled large language model did in our probe, and what s...

Chuan Yin · 0 citations
#small language model Open access Sep 2026

介護が必要になった主な原因の 1 位は認知症(10 万対 16,743)だが、当てはまるものを全部選ぶと高齢による衰弱(26,100)——年齢では脳血管疾患(65〜79 歳)・認知症(80〜89 歳)・高齢による衰弱(90 歳以上)と入れ替わり、女性は 1〜3 位が 98 の差に並ぶ [M059]

令和7年国民生活基礎調査(介護票)で、介護が必要になった原因を、主な原因(一つ)と原因(複数回答)の二つの表で、性と年齢ごとに並べた(数は介護を要する者 10 万対)。 男女計の 1 位は、主な原因では認知症(16,743)、複数回答では高齢による衰弱(26,100)で、選び方で 1 位が替わる。男性はどちらでも脳血管疾患が 1 位、女性の主な原因は高齢に...

Yuuki Yamagishi · 0 citations
#small language model Open access Sep 2026

Doing More with Less: How Cultural Personas Bridge the Cost-Performance Gap in LLMs

Cultural personas have emerged as a promising technique for enhancing creativity in Large Language Models, yet their effectiveness across different architectures, domains, and economic contexts remains poorly understood. This study provides a systematic evaluation of three cultural personas—Culture\_5 (innovator), Cult...

Youssef Hariri · 0 citations
#small language model Open access Sep 2026

2023 年度のレセプト 2,003,387,582 件をまぜて並べると、点数の多い上位 1 % が点数の 0.4068 以上を持つが、入院・入院外・歯科・調剤の中だけで並べると上位 1 % は 0.0765〜0.2742 にとどまる——入院は件数の 0.0135 で点数の 0.3871 を持ち、入院外で 2 万点以上のレセプトは件数の 0.0081 で点数の 0.2537 を持つ [M076]

厚生労働省の医療給付実態調査(令和5年度)の、点数階級別のレセプトの件数と点数(第5表)と、病気の章ごとの点数階級別の表(第6表)で、医療費がどれだけ少数の請求に集まっているかを見た。 入院・入院外・歯科・調剤のレセプト 2,003,387,582 件をまぜて点数の多い順に並べると、上位 1 % が点数の少なくとも 0.4068 を持ち、上位 0.0168 で半分...

Yuuki Yamagishi · 0 citations
#small language model Open access Sep 2026

Situational Variables Versus Cultural Labels in Persona Conditioning: Shared Stereotype, Shared Rule

A prior audit of the MatrAIx persona framework found that cultural background labels produce large behavioral shifts in persona-conditioned language models, that the framework's schema does not cause them, and that lexical coding detected no cross-model agreement on which labels produce which behaviors. That audit name...

Bianca Dené Williams · 0 citations
#small language model Open access Sep 2026

ExpertRelay: Virtual Memory for Mixture-of-Experts Language Models Across Heterogeneous Devices

Mixture-of-Experts (MoE) language models activate only a small subset of their parameters for each token, but they must still store all of them. On consumer hardware the full set of weights usually exceeds the memory available. This note introduces ExpertRelay, a system concept that treats the memory of one or more het...

Abdullah Ali Alanazi · 0 citations

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