다양한 언어 및 방양에 대한 주제 분류를 위한 SIB-200의 중요성
Conversational recommender systems benefit from PEARL's persona and knowledge augmentation, enhancing user preferences and recommendations.
Current large language models struggle to effectively follow user instructions for revising long-form answers, as shown by the KIWI dataset analysis.
Multimodal ArXiv introduces ArXivCap and ArXivQA to improve LVLMs' understanding of scientific figures, enhancing mathematical reasoning capabilities.
JMultiWOZ is the first large-scale Japanese multi-domain task-oriented dialogue dataset, providing benchmarks for dialogue state tracking and response generation.
人間の行動を異なる視点から結びつけるための重要なリソースであるEgoExoLearnデータセットの紹介とその潜在的な応用に焦点を当てる。
EgoExoLearn dataset explores human ability to bridge asynchronous procedural actions from different viewpoints.
提案されたMuSHRoomデータセットは、消費者向けデバイスで収集された入力を使用して、3D再構築の精度と新しい視点合成の品質を評価するためのベンチマークを提供します。
Entity6K introduces a diverse dataset for real-world entity recognition, addressing the lack of suitable evaluation datasets in open-domain settings.
Entity6K introduces a comprehensive dataset for real-world entity recognition, addressing the lack of suitable evaluation datasets in this field.