Conference Year: 2024

Retrieval Helps or Hurts? A Deeper Dive into the Efficacy of Retrieval Augmentation to Language Models

Large Language Models Sensitivity to The Order of Options in Multiple-Choice Questions

XATU: A Fine-grained Instruction-based Benchmark for Explainable Text Updates

Fairness-aware Data Preparation for Entity Matching

Human-LLM Collaborative Annotation Through Effective Verification of LLM Labels

Watchog: A Light-weight Contrastive Learning based Framework for Column Annotation

Investigation of Simple-but-Effective Architecture for Long-form Text Matching with Transformers

MEGAnno+: A Human-LLM Collaborative Annotation System

AmbigNLG:自然言語生成のための指示テキストの曖昧性解消

AdaorBert：検索における文埋め込み計算手法の比較研究