Building A Unified AI-centric Language System: analysis, framework and future work
EH Wang, CX Wen - arxiv preprint arxiv:2502.04488, 2025 - arxiv.org
Recent advancements in large language models have demonstrated that extended
inference through techniques can markedly improve performance, yet these gains come with …
inference through techniques can markedly improve performance, yet these gains come with …
Artificial intelligence in education: comparing the responses of different large language models.
M Urbančič - Journal of Contemporary Educational Studies …, 2024 - search.ebscohost.com
Currently, there are several advanced large language models (LLMs) freely available for
testing, and their use is steadily increasing. This paper aims to compare the results …
testing, and their use is steadily increasing. This paper aims to compare the results …
Semantic Shift Stability: 学習コーパス内の単語の意味変化を用いた事前学習済みモデルの時系列性能劣化の監査
石原祥太郎， 高橋寛武， 白井穂乃 - 自然言語処理, 2024 - jstage.jst.go.jp
抄録 研究者や実務者にとって事前学習済みモデルの利活用が一般的になる中,
実運用上の大きな課題として時系列性能劣化の監査が挙げられる. 特に事前学習済み言語モデル …
実運用上の大きな課題として時系列性能劣化の監査が挙げられる. 特に事前学習済み言語モデル …