Papers
309 papers found
REANO: Optimising Retrieval-Augmented Reader Models through Knowledge Graph Generation
Jinyuan Fang, Zaiqiao Meng, Craig Macdonald
Listen, Watch, and Learn to Feel: Retrieval-Augmented Emotion Reasoning for Compound Emotion Generation
Zhuofan Wen, Zheng Lian, Shun Chen et al.
BlendFilter: Advancing Retrieval-Augmented Large Language Models via Query Generation Blending and Knowledge Filtering
Haoyu Wang, Ruirui Li, Haoming Jiang et al.
EC-RAFT: Automated Generation of Clinical Trial Eligibility Criteria through Retrieval-Augmented Fine-Tuning
Nopporn Lekuthai, Nattawit Pewngam, Supitcha Sokrai et al.
Ground Every Sentence: Improving Retrieval-Augmented LLMs with Interleaved Reference-Claim Generation
Sirui Xia, Xintao Wang, Jiaqing Liang et al.
Retrieval-Augmented Layout Transformer for Content-Aware Layout Generation
Daichi Horita, Naoto Inoue, Kotaro Kikuchi et al.
The Devil is in the Prompts: Retrieval-Augmented Prompt Optimization for Text-to-Video Generation
Bingjie Gao, Xinyu Gao, Xiaoxue Wu et al.
Retrieval-Augmented Fine-Tuning With Preference Optimization For Visual Program Generation
Deokhyung Kang, Jeonghun Cho, Yejin Jeon et al.
Retrieval-Augmented Modular Prompt Tuning for Low-Resource Data-to-Text Generation
Ruitao Feng, Xudong Hong, Mayank Jobanputra et al.