UIの評価 LLM課題 BERT

# UI
生成AIの評価の中で、利用状況を前提としない言語評価や、
正解が一つという前提をおいた言語評価や、
３つ以上の立場の違いによる異なる方向への評価方法や、
３つ以上の立場の違いによる異なる出力をしたことに基づくそれぞれの評価方法を検討したい。

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# keyword
## BERT: Bidirectional Encoder Representations from Transformers

BERTモデルを使った日本語テキスト感情分析プログラムの実装
https://qiita.com/kiyotaman/items/736d5d0e47dbfd419244

TransformerとGPTとBERTとEncoderとDecoderの関係を整理しておく
https://qiita.com/munaita_/items/bd5513c75e18ae04c1e0

MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance
https://arxiv.org/abs/1909.02622

大規模言語モデルの進化と最新動向 (ver. 20240723)
https://qiita.com/compassinai/items/0be2b1139e63a4fa6f11

LLM で日本語文章校正したいメモ
https://qiita.com/syoyo/items/ab518927a51dcf03b071

僕自身のためのLLMメモまとめ
https://qiita.com/KomatsunaKinako/items/8a42c487ddcc49243b35

LLM　コード3
https://qiita.com/output_Tarou_dl/items/a41f78aa02d281981a77

LLM入門　コード１
https://qiita.com/output_Tarou_dl/items/51fbfb13975d2cd8a0f1

【論文読解メモ】LLaVA(Large Language and Vision Assistant)
https://qiita.com/LiberalArts/items/40107ba1855de509c6e3

https://qiita.com/LiberalArts/items/40107ba1855de509c6e3
https://qiita.com/aokikenichi/items/14ad95aacf2092aacbdd

LLMとゲノムバイオインフォマティクス
https://qiita.com/Yh_Taguchi/items/1f8b975182d9a33a00f7

Kaggle初めてのLLMコンペに参加しました
https://qiita.com/xxyc/items/154250c01a98aed66944

2023年末のElixirが出来ること⑤AI・LLM前編【Nx／Bumblebee】（最新Elixirのキャッチアップや、アドカレのネタ探しに読んでください）
https://qiita.com/piacerex/items/f6a73a8252a3f6093b1a

### arxiv
title = BERT 1,307
https://arxiv.org/search/advanced?advanced=&terms-0-operator=AND&terms-0-term=BERT&terms-0-field=title&classification-physics_archives=all&classification-include_cross_list=include&date-filter_by=all_dates&date-year=&date-from_date=&date-to_date=&date-date_type=submitted_date&abstracts=show&size=50&order=-announced_date_first


BERT or FastText? A Comparative Analysis of Contextual as well as Non-Contextual Embeddings
https://arxiv.org/pdf/2411.17661

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