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small language model

3,533 papers

#small language model Open access Sep 2026

That the Sign Changes When You Drop the Top Few Days Is a Property of How You Dropped Them — Dropping the Same Number at Random Leaves Only 0.0036, and Even a Synthetic Random Walk with Zero Directional Information Leaves 0.1376 of the Cells At or Below Zero [F023]

候補を潰すとき、「上位5日を除いたら符号が反転した。だからこの候補は少数の日に乗っている」と書くことがある。本稿が点検するのは、著者自身がこれまで使ってきたこの検定である。上位を除けば、どんな列でも平均は必ず下がる。最大の観測を取り除くのだから、これは算術であって候補の脆さではない。したがって比べる相手が要る。自然な相...

Yuuki Yamagishi · 0 citations
#small language model Book Sep 2026

Strategic L1 Use in EMI Classrooms

With the rise of English-Medium Instruction (EMI) in education around the world, a new debate on the pedagogical role of students’ first language (L1) has emerged. Some educators and institutions recognize that the introduction of the first language is important as a means of reinforcing learner identity, equity, and t...

Begoña Crespo · 0 citations
#small language model Open access Sep 2026

Where You Put the Time-Outs Decides the Share of "Both Lose" — A Straddle Has Five Outcomes, Not Four, and Pouring the Fifth into the Else Raises the Share by up to 5.14 Times [F027]

同じ瞬間に買いと売りを両方建てて結果を分けるとき、よく使われるのは四つである。「買いが勝ち」「売りが勝ち」「両方勝ち」「両方負け」である。だが期限を切って測る以上、どちらも決着しない件が必ず出る。それが五つ目であり、四つで書いた分類にはそれを入れる場所が無いので、多くの場合は最後の else に流れ込む。そこはたいてい「両方...

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

vcfclick: embedded VCF databases with auditable natural-language queries

Small VCF databases, one per cohort. Variants, genotypes, and samples live in either chDB (embedded ClickHouse) or DuckDB; gene and ClinVar annotations live in a sibling DuckDB file. A bundled Model Context Protocol server exposes a small set of tools so a language-model client can query the cohort in natural language...

Paulo A. F. Nuin · 0 citations
#small language model Open access Sep 2026

The Distance to the Level Ahead Moves the Time-Outs, Not the Win Rate — The Unconditional Win Rate Moves 9.97 Points, of Which the Time-Outs Account for 27.17 While the Win Rate Among Decided Trades Moves Only 2.46 [F028]

「利確の手前に抵抗があるから、そこまで届きにくい」という言い方がある。だが「届きにくい」には二つの行き先がある。反対の柵へ行ったか、どちらにも届かなかったか(時間切れ)である。前者なら勝率が落ち、後者なら決着しないだけである。そして柵が対称でコストが無ければ、決着した中での勝率は任意停止定理により 0.5 である。水準がそこ...

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

Inherited Weights: Measuring the Tokenization Premium and the Sovereignty Cost of Language Models for the Global South

Most language models deployed outside the United States and China are fine-tuned descendants of a small number of pretrained families. We argue that fine-tuning leaves the decisive properties of a model inherited from its base: vocabulary, knowledge, cultural alignment, memorized data and license. We contribute (i) an...

Paulo Câmara · 0 citations
#small language model Open access Sep 2026

Bars Cut by Tick Count Are a Different Clock from Bars Cut by the Clock: The Move Becomes Uniform (All 20 Cells; Session Ratio 1.7390 Against 3.5268) While the Directional Information Does Not [F018]

「ティック足にすると値動きの大きさがそろう」「時間で刻むと暇な時間帯の足が無駄になる」という言い方がある。だが「ティック足の方が良い」だけでは何も言えない。何がそろうのかを言っていないからである。そして比べ方に落とし穴がある。ティック足の方が細かければ値動きが小さいのは当たり前なので、比べるなら一本あたりの時間の中央を...

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

Self-Normalization Brings In the Window You Divided By — The Layer Ratio Falls from 1.3795 Undivided to 1.0440 Divided, and the Median z Moves 4.3363 Times Across the Hours [F039]

「直近の平均で割って正規化した」。指標ではよく行われる。だが割り算は、分子と分母の両方を答えに入れる操作である。z が大きいのは分子が大きいからかもしれないし、分母が小さいからかもしれない。そして分母は「直近 N 本」から作られるので、z は N 本前までの相場の状態を必ず持ち込んでいる。本稿の分離子は「何で割ったか」である。分...

Yuuki Yamagishi · 0 citations
#graph neural networks Open access Sep 2026

Structure-Aware Dependency Retrieval for Repository-Level Code Completion via Graph Attention

When Large Language Models (LLMs) write code inside an existing repository, the quality of their output depends heavily on the context they are given. The difficulty is that a function’s docstring rarely mentions the base class, callee, or field the function actually depends on. Lexical and dense retrievers both treat...

Parmeet Chani, Amanpreet Kaur, Dr. Gursimran Kaur · 0 citations
#small language model Open access Sep 2026

Structured PREreview of "Evidence Graph Consistency in Retrieval-Augmented Generation: A Model-Dependent Analysis of Hallucination Detection"

This Zenodo record is a permanently preserved version of a Structured PREreview. You can view the complete PREreview at https://prereview.org/reviews/22904739. Does the introduction explain the objective of the research presented in the preprint? Yes It clearly explains the objective. The introduction states plainly th...

Mayur Jain · 0 citations
#small language model Open access Sep 2026

Scalable Oversight Across Generative Visual AI: Toward Visual Storytelling for Everyone

Generative visual AI has advanced by scaling data and compute, but its next bottleneck is oversight: the expert signals that evaluate, reward, and teach models what ``good'' looks like. Providing such oversight is increasingly difficult because foundation vision-language models now match or surpass most humans at the s...

Zhiqiu Lin · 0 citations
#small language model Open access Sep 2026

labplan: exact measurement planning, calibration and audit trails for any lab model

Fixed Model.jacobian (used by information, design and fit) took its finite-difference step as 1e-6 * max(|theta|, 1e-3). For a parameter smaller than 1e-3 in its own units the step, 1e-9, was too coarse; for a time constant of 1e-9 s it was the size of the parameter itself. The planned error bars then depended on the u...

Tanvir M. Mahim · 0 citations

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