Papers
32 papers found
Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy
Zhihong Shao, Yeyun Gong, Yelong Shen et al.
Surface-Based Retrieval Reduces Perplexity of Retrieval-Augmented Language Models
Ehsan Doostmohammadi, Tobias Norlund, Marco Kuhlmann et al.
LeanDojo: Theorem Proving with Retrieval-Augmented Language Models
Kaiyu Yang, Aidan Swope, Alex Gu et al.
Retrieval-Augmented Multiple Instance Learning
Yufei CUI, Ziquan Liu, Yixin Chen et al.
Lift Yourself Up: Retrieval-augmented Text Generation with Self-Memory
Xin Cheng, Di Luo, Xiuying Chen et al.
Team NLLG submission for Eval4NLP 2023 Shared Task: Retrieval-Augmented In-Context Learning for NLG Evaluation
Daniil Larionov, Vasiliy Viskov, George Kokush et al.
ReAugKD: Retrieval-Augmented Knowledge Distillation For Pre-trained Language Models
Jianyi Zhang, Aashiq Muhamed, Aditya Anantharaman et al.
Diverse Retrieval-Augmented In-Context Learning for Dialogue State Tracking
Brendan King, Jeffrey Flanigan
Retrieval-augmented Video Encoding for Instructional Captioning
Yeonjoon Jung, Minsoo Kim, Seungtaek Choi et al.
Retrieval-Augmented Domain Adaptation of Language Models
Benfeng Xu, Chunxu Zhao, Wenbin Jiang et al.
Learning Customized Visual Models With Retrieval-Augmented Knowledge
Haotian Liu, Kilho Son, Jianwei Yang et al.
REVEAL: Retrieval-Augmented Visual-Language Pre-Training With Multi-Source Multimodal Knowledge Memory
Ziniu Hu, Ahmet Iscen, Chen Sun et al.
Retrieval-augmented Image Captioning
Rita Ramos, Desmond Elliott, Bruno Martins
Tree of Clarifications: Answering Ambiguous Questions with Retrieval-Augmented Large Language Models
Gangwoo Kim, Sungdong Kim, Byeongguk Jeon et al.
Optimizing Retrieval-augmented Reader Models via Token Elimination
Moshe Berchansky, Peter Izsak, Avi Caciularu et al.
Diversify Question Generation with Retrieval-Augmented Style Transfer
Qi Gou, Zehua Xia, Bowen Yu et al.
Query Rewriting in Retrieval-Augmented Large Language Models
Xinbei Ma, Yeyun Gong, Pengcheng He et al.
Adapt in Contexts: Retrieval-Augmented Domain Adaptation via In-Context Learning
Quanyu Long, Wenya Wang, Sinno Pan
RaLLe: A Framework for Developing and Evaluating Retrieval-Augmented Large Language Models
Yasuto Hoshi, Daisuke Miyashita, Youyang Ng et al.
VIST5: An Adaptive, Retrieval-Augmented Language Model for Visualization-oriented Dialog
Henrik Voigt, Nuno Carvalhais, Monique Meuschke et al.
RegaVAE: A Retrieval-Augmented Gaussian Mixture Variational Auto-Encoder for Language Modeling
Jingcheng Deng, Liang Pang, Huawei Shen et al.
GROVE: A Retrieval-augmented Complex Story Generation Framework with A Forest of Evidence
Zhihua Wen, Zhiliang Tian, Wei Wu et al.
Goodtriever: Adaptive Toxicity Mitigation with Retrieval-augmented Models
Luiza Pozzobon, Beyza Ermis, Patrick Lewis et al.
Retrieval-Augmented Parsing for Complex Graphs by Exploiting Structure and Uncertainty
Zi Lin, Quan Yuan, Panupong Pasupat et al.
Retrieval-Augmented Few-shot Text Classification
Guoxin Yu, Lemao Liu, Haiyun Jiang et al.