Retrieval-Augmented Mixture of LoRA Experts for Uploadable Machine Learning （2024.06.24）
Ziyu Zhao, Leilei Gan, Guoyin Wang, Yuwei Hu, Tao Shen, etc
Enhancing RAG Systems: A Survey of Optimization Strategies for Performance and Scalability （2024.06.04）
【INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT】
Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training （2024.05.31）
Feiteng Fang, Yuelin Bai, Shiwen Ni, Min Yang, Xiaojun Chen, etc . - 【arXiv.org】
Accelerating Inference of Retrieval-Augmented Generation via Sparse Context Selection （2024.05.25）
Yun Zhu, Jia-Chen Gu, Caitlin Sikora, Ho Ko, Yinxiao Liu, etc . - 【arXiv.org】
DocReLM: Mastering Document Retrieval with Language Model （2024.05.19）
Gengchen Wei, Xinle Pang, Tianning Zhang, Yu Sun, Xun Qian, etc . - 【arXiv.org】
UniRAG: Universal Retrieval Augmentation for Multi-Modal Large Language Models （2024.05.16）
Sahel Sharifymoghaddam, Shivani Upadhyay, Wenhu Chen, Jimmy Lin . - 【arXiv.org】
ChatHuman: Language-driven 3D Human Understanding with Retrieval-Augmented Tool Reasoning （2024.05.07）
Jing Lin, Yao Feng, Weiyang Liu, Michael J. Black . - 【arXiv.org】
REASONS: A benchmark for REtrieval and Automated citationS Of scieNtific Sentences using Public and Proprietary LLMs （2024.05.03）
Deepa Tilwani, Yash Saxena, Ali Mohammadi, Edward Raff, Amit P. Sheth, etc . - 【arXiv.org】
Superposition Prompting: Improving and Accelerating Retrieval-Augmented Generation （2024.04.10）
Thomas Merth, Qichen Fu, Mohammad Rastegari, Mahyar Najibi
Untangle the KNOT: Interweaving Conflicting Knowledge and Reasoning Skills in Large Language Models （2024.04.04）
Yan-Tie Liu, Zijun Yao, Xin Lv, Yuchen Fan, S. Cao, etc
Unveiling LLMs: The Evolution of Latent Representations in a Temporal Knowledge Graph （2024.04.04）
Marco Bronzini, Carlo Nicolini, Bruno Lepri, Jacopo Staiano, Andrea Passerini
JORA: JAX Tensor-Parallel LoRA Library for Retrieval Augmented Fine-Tuning （2024.03.17）
Anique Tahir, Lu Cheng, Huan Liu . - 【arXiv.org】
Retrieval-Augmented Generation for AI-Generated Content: A Survey （2024.02.29）
Penghao Zhao, Hailin Zhang, Qinhan Yu, Zhengren Wang, Yunteng Geng, etc
VerifiNER: Verification-augmented NER via Knowledge-grounded Reasoning with Large Language Models （2024.02.28）
Seoyeon Kim, Kwangwook Seo, Hyungjoo Chae, Jinyoung Yeo, Dongha Lee
The Power of Noise: Redefining Retrieval for RAG Systems （2024.01.26）
Florin Cuconasu, Giovanni Trappolini, F. Siciliano, Simone Filice, Cesare Campagnano, etc . - 【arXiv.org】
LLM Augmented LLMs: Expanding Capabilities through Composition （2024.01.04）
Rachit Bansal, Bidisha Samanta, Siddharth Dalmia, Nitish Gupta, Shikhar Vashishth, etc . - 【arXiv.org】
ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation Systems （2023.11.16）
Jon Saad-Falcon, O. Khattab, Christopher Potts, Matei Zaharia . - 【arXiv.org】
Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models （2023.11.15）
W. Yu, Hongming Zhang, Xiaoman Pan, Kaixin Ma, Hongwei Wang, etc . - 【arXiv.org】
From Classification to Generation: Insights into Crosslingual Retrieval Augmented ICL （2023.11.11）
Xiaoqian Li, Ercong Nie, Sheng Liang . - 【arXiv.org】
Optimizing Retrieval-augmented Reader Models via Token Elimination （2023.10.20）
Moshe Berchansky, Peter Izsak, Avi Caciularu, Ido Dagan, Moshe Wasserblat . - 【Conference on Empirical Methods in Natural Language Processing】
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection （2023.10.17）
Akari Asai, Zeqiu Wu, Yizhong Wang, Avirup Sil, Hannaneh Hajishirzi . - 【arXiv.org】
Retrieve Anything To Augment Large Language Models （2023.10.11）
Peitian Zhang, Shitao Xiao, Zheng Liu, Zhicheng Dou, Jian-Yun Nie . - 【arXiv.org】
Self-Knowledge Guided Retrieval Augmentation for Large Language Models （2023.10.08）
Yile Wang, Peng Li, Maosong Sun, Yang Liu . - 【Conference on Empirical Methods in Natural Language Processing】
Retrieval-Generation Synergy Augmented Large Language Models （2023.10.08）
Zhangyin Feng, Xiaocheng Feng, Dezhi Zhao, Maojin Yang, Bing Qin . - 【arXiv.org】
RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective Augmentation （2023.10.06）
Fangyuan Xu, Weijia Shi, Eunsol Choi . - 【arXiv.org】
Retrieval meets Long Context Large Language Models （2023.10.04）
Peng Xu, Wei Ping, Xianchao Wu, Lawrence C. McAfee, Chen Zhu, etc . - 【arXiv.org】
Making Retrieval-Augmented Language Models Robust to Irrelevant Context （2023.10.02）
Ori Yoran, Tomer Wolfson, Ori Ram, Jonathan Berant . - 【arXiv.org】
RAGAS: Automated Evaluation of Retrieval Augmented Generation （2023.09.26）
ES Shahul, Jithin James, Luis Espinosa Anke, Steven Schockaert . - 【arXiv.org】
Benchmarking Large Language Models in Retrieval-Augmented Generation （2023.09.04）
Jiawei Chen, Hongyu Lin, Xianpei Han, Le Sun . - 【arXiv.org】
RaLLe: A Framework for Developing and Evaluating Retrieval-Augmented Large Language Models （2023.08.21）
Yasuto Hoshi, D. Miyashita, Youyang Ng, Kento Tatsuno, Yasuhiro Morioka, etc . - 【Conference on Empirical Methods in Natural Language Processing】
KnowledGPT: Enhancing Large Language Models with Retrieval and Storage Access on Knowledge Bases （2023.08.17）
Xintao Wang, Qian Yang, Yongting Qiu, Jiaqing Liang, Qi He, etc . - 【arXiv.org】
Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering （2023.07.31）
Vaibhav Adlakha, Parishad BehnamGhader, Xing Han Lu, Nicholas Meade, Siva Reddy . - 【arXiv.org】
Referral Augmentation for Zero-Shot Information Retrieval （2023.05.24）
Michael Tang, Shunyu Yao, John Yang, Karthik Narasimhan
LLMDet: A Large Language Models Detection Tool （2023.05.24）
Kangxi Wu, Liang Pang, Huawei Shen, Xueqi Cheng, Tat-Seng Chua
KNN-LM Does Not Improve Open-ended Text Generation （2023.05.24）
Shufan Wang, Yixiao Song, Andrew Drozdov, Aparna Garimella, Varun Manjunatha, etc
Query Rewriting for Retrieval-Augmented Large Language Models （2023.05.23）
Xinbei Ma, Yeyun Gong, Pengcheng He, Hai Zhao, Nan Duan . - 【arXiv.org】
Knowledge-Retrieval Task-Oriented Dialog Systems with Semi-Supervision （2023.05.22）
Yucheng Cai, Hong Liu, Zhijian Ou, Y. Huang, Junlan Feng
Sentence Representations via Gaussian Embedding （2023.05.22）
Shohei Yoda, Hayato Tsukagoshi, Ryohei Sasano, Koichi Takeda
Retrieving Texts based on Abstract Descriptions （2023.05.21）
Shauli Ravfogel, Valentina Pyatkin, Amir D. N. Cohen, Avshalom Manevich, Yoav Goldberg
Decouple knowledge from paramters for plug-and-play language modeling （2023.05.19）
Xin Cheng, Yankai Lin, Xiuying Chen, Dongyan Zhao, Rui Yan . - 【arXiv.org】
Ditto: A Simple and Efficient Approach to Improve Sentence Embeddings （2023.05.18）
Qian Chen, Wen Wang, Qinglin Zhang, Siqi Zheng, Chong Deng, etc . - 【arXiv.org】
ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval （2023.05.18）
Yue Yu, Yuchen Zhuang, Rongzhi Zhang, Yu Meng, Jiaming Shen, etc . - 【arXiv.org】
The Web Can Be Your Oyster for Improving Large Language Models （2023.05.18）
Junyi Li, Tianyi Tang, Wayne Xin Zhao, Jingyuan Wang, J. Nie, etc . - 【arXiv.org】
TOME: A Two-stage Approach for Model-based Retrieval （2023.05.18）
Ruiyang Ren, Wayne Xin Zhao, J. Liu, Huaqin Wu, Ji-rong Wen, etc . - 【arXiv.org】
Active Retrieval Augmented Generation （2023.05.11）
Zhengbao Jiang, Frank F. Xu, Luyu Gao, Zhiqing Sun, Qian Liu, etc . - 【Conference on Empirical Methods in Natural Language Processing】
Augmented Large Language Models with Parametric Knowledge Guiding （2023.05.08）
Ziyang Luo, Can Xu, Pu Zhao, Xiubo Geng, Chongyang Tao, etc . - 【arXiv.org】
Lift Yourself Up: Retrieval-augmented Text Generation with Self Memory （2023.05.03）
Xin Cheng, Di Luo, Xiuying Chen, Lemao Liu, Dongyan Zhao, etc . - 【arXiv.org】
UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation （2023.03.15）
Daixuan Cheng, Shaohan Huang, Junyu Bi, Yu-Wei Zhan, Jianfeng Liu, etc . - 【Conference on Empirical Methods in Natural Language Processing】
REPLUG: Retrieval-Augmented Black-Box Language Models （2023.01.30）
Weijia Shi, Sewon Min, Michihiro Yasunaga, Minjoon Seo, Rich James, etc . - 【ArXiv】
Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP （2022.12.28）
O. Khattab, Keshav Santhanam, Xiang Lisa Li, David Leo Wright Hall, Percy Liang, etc . - 【arXiv.org】
One Embedder, Any Task: Instruction-Finetuned Text Embeddings （2022.12.19）
Hongjin Su, Weijia Shi, Jungo Kasai, Yizhong Wang, Yushi Hu, etc . - 【ArXiv】
Don’t Prompt, Search! Mining-based Zero-Shot Learning with Language Models （2022.10.26）
Mozes van de Kar, M. Xia, Danqi Chen, Mikel Artetxe . - 【Conference on Empirical Methods in Natural Language Processing】
Knowledge Prompting in Pre-trained Language Model for Natural Language Understanding （2022.10.16）
J. Wang, Wenkang Huang, Qiuhui Shi, Hongbin Wang, Minghui Qiu, etc . - 【Conference on Empirical Methods in Natural Language Processing】
Knowledge Injected Prompt Based Fine-tuning for Multi-label Few-shot ICD Coding （2022.10.07）
Zhichao Yang, Shufan Wang, Bhanu Pratap Singh Rawat, Avijit Mitra, Hong Yu . - 【Conference on Empirical Methods in Natural Language Processing】
Recitation-Augmented Language Models （2022.10.04）
Zhiqing Sun, Xuezhi Wang, Yi Tay, Yiming Yang, Denny Zhou . - 【International Conference on Learning Representations】
Generate rather than Retrieve: Large Language Models are Strong Context Generators （2022.09.21）
W. Yu, Dan Iter, Shuohang Wang, Yichong Xu, Mingxuan Ju, etc . - 【International Conference on Learning Representations】
Few-shot Learning with Retrieval Augmented Language Models （2022.08.05）
Gautier Izacard, Patrick Lewis, M. Lomeli, Lucas Hosseini, F. Petroni, etc . - 【Journal of machine learning research】
DocPrompting: Generating Code by Retrieving the Docs （2022.07.13）
Shuyan Zhou, Uri Alon, Frank F. Xu, Zhiruo Wang, Zhengbao Jiang, etc
Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning （2022.06.19）
Xiaolei Wang, Kun Zhou, Ji-rong Wen, Wayne Xin Zhao . - 【Knowledge Discovery and Data Mining】
Decoupling Knowledge from Memorization: Retrieval-augmented Prompt Learning （2022.05.29）
Xiang Chen, Lei Li, Ningyu Zhang, Xiaozhuan Liang, Shumin Deng, etc . - 【ArXiv】
Relation Extraction as Open-book Examination: Retrieval-enhanced Prompt Tuning （2022.05.04）
Xiang Chen, Lei Li, Ningyu Zhang, Chuanqi Tan, Fei Huang, etc . - 【Annual International ACM SIGIR Conference on Research and Development in Information Retrieval】
Contrastive Demonstration Tuning for Pre-trained Language Models （2022.04.09）
Xiaozhuan Liang, Ningyu Zhang, Ningyu Zhang, Siyuan Cheng, Zhen Bi, etc . - 【Conference on Empirical Methods in Natural Language Processing】
Multi-Stage Prompting for Knowledgeable Dialogue Generation （2022.03.16）
Zihan Liu, M. Patwary, R. Prenger, Shrimai Prabhumoye, Wei Ping, etc . - 【Findings】
Training Data is More Valuable than You Think: A Simple and Effective Method by Retrieving from Training Data （2022.03.16）
Shuo Wang, Yichong Xu, Yuwei Fang, Yang Liu, S. Sun, etc . - 【Annual Meeting of the Association for Computational Linguistics】
Generated Knowledge Prompting for Commonsense Reasoning （2021.10.15）
Jiacheng Liu, Alisa Liu, Ximing Lu, S. Welleck, Peter West, etc . - 【Annual Meeting of the Association for Computational Linguistics】
Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification （2021.08.04）
Shengding Hu, Ning Ding, Huadong Wang, Zhiyuan Liu, Juan-Zi Li, etc . - 【Annual Meeting of the Association for Computational Linguistics】
PTR: Prompt Tuning with Rules for Text Classification （2021.05.24）
Xu Han, Weilin Zhao, Ning Ding, Zhiyuan Liu, Maosong Sun . - 【AI Open】
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks （2020.05.22）
Patrick Lewis, Ethan Perez, Aleksandara Piktus, Fabio Petroni, Vladimir Karpukhin, etc . - 【Neural Information Processing Systems】
REALM: Retrieval-Augmented Language Model Pre-Training （2020.02.10）
Kelvin Guu, Kenton Lee, Z. Tung, Panupong Pasupat, Ming-Wei Chang . - 【ArXiv】
Prompt as a Knowledge Probe for Chinese Spelling Check
Kun Peng, Nannan Sun, Jiahao Cao, Rui Liu, Jiaqian Ren, etc . - 【Knowledge Science, Engineering and Management】
Chain of Knowledge: A Framework for Grounding Large Language Models with Structured Knowledge Bases
Xingxuan Li, Ruochen Zhao, Yew Ken Chia, Bosheng Ding, Lidong Bing, etc . - 【arXiv.org】
