Summary of Scaling Data Diversity For Fine-tuning Language Models in Human Alignment, by Feifan Song et al.
Scaling Data Diversity for Fine-Tuning Language Models in Human Alignmentby Feifan Song, Bowen Yu, Hao…
Scaling Data Diversity for Fine-Tuning Language Models in Human Alignmentby Feifan Song, Bowen Yu, Hao…
Take Care of Your Prompt Bias! Investigating and Mitigating Prompt Bias in Factual Knowledge Extractionby…
Fine-tuning vs Prompting, Can Language Models Understand Human Values?by Pingwei SunFirst submitted to arxiv on:…
A Semantic Mention Graph Augmented Model for Document-Level Event Argument Extractionby Jian Zhang, Changlin Yang,…
PET-SQL: A Prompt-Enhanced Two-Round Refinement of Text-to-SQL with Cross-consistencyby Zhishuai Li, Xiang Wang, Jingjing Zhao,…
XCoOp: Explainable Prompt Learning for Computer-Aided Diagnosis via Concept-guided Context Optimizationby Yequan Bie, Luyang Luo,…
Task-Specific Adaptation of Segmentation Foundation Model via Prompt Learningby Hyung-Il Kim, Kimin Yun, Jun-Seok Yun,…
Token Alignment via Character Matching for Subword Completionby Ben Athiwaratkun, Shiqi Wang, Mingyue Shang, Yuchen…
WorldGPT: A Sora-Inspired Video AI Agent as Rich World Models from Text and Image Inputsby…
Efficient Prompt Tuning of Large Vision-Language Model for Fine-Grained Ship Classificationby Long Lan, Fengxiang Wang,…