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
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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
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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
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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
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「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
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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
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「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
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「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
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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
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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
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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
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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
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