2 citations · 2 across the 3 of their papers we have counts for
3 papers
Training Dialogue Systems by AI Feedback for Improving Overall Dialogue Impression
Kai Yoshida, Masahiro Mizukami, Seiya Kawano +3
To improve user engagement during conversations with dialogue systems, we must improve individual dialogue responses and dialogue impressions such as consistency, personality, and…
Bridging Textual and Tabular Worlds for Fact Verification: A Lightweight, Attention-Based Model
Shirin Dabbaghi Varnosfaderani, Canasai Kruengkrai, Ramin Yahyapour +1
FEVEROUS is a benchmark and research initiative focused on fact extraction and verification tasks involving unstructured text and structured tabular data. In FEVEROUS, existing wor…
XFEVER: Exploring Fact Verification across Languages
Yi-Chen Chang, Canasai Kruengkrai, Junichi Yamagishi
This paper introduces the Cross-lingual Fact Extraction and VERification (XFEVER) dataset designed for benchmarking the fact verification models across different languages. We cons…