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河原研究室
Showing the original Japanese · View translation
人間と同じように言語を理解し使いこなせるAIを作る研究室。
AboutAbout the lab
言語を理解する、AIをつくる。
河原研究室は、
大規模言語モデル(LLM)の
日本語の
計算機科学と
Key terms
- 大規模言語モデル
- 大量の
文章データから 学習した、 人間の 言葉を 扱う 人工知能の モデル - ベンチマーク
- AIの
性能を 測る ための、 共通の 問題や データセットの 集まり - 語義曖昧性
- 同じ
単語が、 文脈に よって 異なる 意味に 解釈できてしまう 性質
NewsLab news
学生が、
人工知能学会40周年記念論文賞 最優秀論文賞を 受賞 学生が、
言語処理学会年次大会(NLP2026)で 若手奨 励賞・委員特別賞を 受賞 修士課程の
学生が、 人工知能学会 全国 大会で 優秀賞を 受賞 学生が、
NLP若手の 会(YANS)シンポジウムで 奨励賞などを 受賞 学生が、
情報処理学会 山下記念研究賞を 受賞
ResearchResearch themes
人間と
*Illustrative image日本語の言語理解ベンチマーク
英語中心だった
*Illustrative image文の読みづらさの検出
同じ
*Illustrative image日本語の真実性ベンチマーク
大規模言語モデルの
*Illustrative image言葉遣いとAIの性能
丁寧な
MembersFaculty
河原研究室の
- Professor河原 大輔
VoicesStudent voices
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Kanji (Unsplash)” Niketh Vellanki / CC0 (cropped)
- 日本語の
言語理解ベンチマーク: “Prototype kilogram replica” Japs 88 / CC BY-SA 3.0 (cropped) - 文の
読みづらさの 検出: “Daqing Science and Technology Museum optical illusion pillars” Jason Zhang / CC BY-SA 3.0 (cropped) - 日本語の
真実性ベンチマーク: “Balance scale MET DP318014” Henry N. Hooper and Company / O.P. Drake / CC0 (cropped) - 言葉遣いと
AIの 性能: “Tea bowl (chawan), Japan, Edo period, 18th-19th century, earthenware, black glaze (raku) - Montreal Museum of Fine Arts - Montreal, Canada - DSC09533” Daderot / Public domain (cropped) - Related lab (小林研究室): “Spectrogram of Papuan Malay sentence de bicara keras” Emflazie / CC0 (cropped)
- Related lab (中里研究室): “Network cables in server room” ProjectManhattan / CC BY-SA 3.0 (cropped)
- Related lab (小川研究室): “Spectrogram - It Rains a Lot in Portland” Aaron Parecki / CC BY 2.0 (cropped)
- Related lab (甲藤研究室): “Studio A broadcast area ( )” Atomic Taco from Seattle, WA, USA / CC BY-SA 2.0 (cropped)
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