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‎PaperList/KnowledgeAugmentedPromptList.md

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[**Retrieval-Augmented Mixture of LoRA Experts for Uploadable Machine Learning**](https://arxiv.org/abs/2406.16989) （**2024.06.24**）
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<font color="gray">Ziyu Zhao, Leilei Gan, Guoyin Wang, Yuwei Hu, Tao Shen, etc </font>
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[**Enhancing RAG Systems: A Survey of Optimization Strategies for Performance and Scalability**](https://doi.org/10.55041/ijsrem35402) （**2024.06.04**）
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<font color="gray">【INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT】</font>
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[**Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training**](https://doi.org/10.48550/arXiv.2405.20978) （**2024.05.31**）
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<font color="gray">Feiteng Fang, Yuelin Bai, Shiwen Ni, Min Yang, Xiaojun Chen, etc . - 【arXiv.org】</font>
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[**Accelerating Inference of Retrieval-Augmented Generation via Sparse Context Selection**](https://doi.org/10.48550/arXiv.2405.16178) （**2024.05.25**）
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<font color="gray">Yun Zhu, Jia-Chen Gu, Caitlin Sikora, Ho Ko, Yinxiao Liu, etc . - 【arXiv.org】</font>
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[**DocReLM: Mastering Document Retrieval with Language Model**](https://doi.org/10.48550/arXiv.2405.11461) （**2024.05.19**）
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<font color="gray">Gengchen Wei, Xinle Pang, Tianning Zhang, Yu Sun, Xun Qian, etc . - 【arXiv.org】</font>
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[**UniRAG: Universal Retrieval Augmentation for Multi-Modal Large Language Models**](https://doi.org/10.48550/arXiv.2405.10311) （**2024.05.16**）
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<font color="gray">Sahel Sharifymoghaddam, Shivani Upadhyay, Wenhu Chen, Jimmy Lin . - 【arXiv.org】</font>
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[**ChatHuman: Language-driven 3D Human Understanding with Retrieval-Augmented Tool Reasoning**](https://doi.org/10.48550/arXiv.2405.04533) （**2024.05.07**）
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<font color="gray">Jing Lin, Yao Feng, Weiyang Liu, Michael J. Black . - 【arXiv.org】</font>
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![](https://img.shields.io/badge/Citations-0-green)
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[**REASONS: A benchmark for REtrieval and Automated citationS Of scieNtific Sentences using Public and Proprietary LLMs**](https://doi.org/10.48550/arXiv.2405.02228) （**2024.05.03**）
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<font color="gray">Deepa Tilwani, Yash Saxena, Ali Mohammadi, Edward Raff, Amit P. Sheth, etc . - 【arXiv.org】</font>
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![](https://img.shields.io/badge/Citations-1-green)
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[**Superposition Prompting: Improving and Accelerating Retrieval-Augmented Generation**](https://arxiv.org/abs/2404.06910) （**2024.04.10**）
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<font color="gray">Thomas Merth, Qichen Fu, Mohammad Rastegari, Mahyar Najibi </font>
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[**Untangle the KNOT: Interweaving Conflicting Knowledge and Reasoning Skills in Large Language Models**](https://arxiv.org/abs/2404.03577) （**2024.04.04**）
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<font color="gray">Yan-Tie Liu, Zijun Yao, Xin Lv, Yuchen Fan, S. Cao, etc </font>
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[**Unveiling LLMs: The Evolution of Latent Representations in a Temporal Knowledge Graph**](https://arxiv.org/abs/2404.03623) （**2024.04.04**）
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<font color="gray">Marco Bronzini, Carlo Nicolini, Bruno Lepri, Jacopo Staiano, Andrea Passerini </font>
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[**JORA: JAX Tensor-Parallel LoRA Library for Retrieval Augmented Fine-Tuning**](https://doi.org/10.48550/arXiv.2403.11366) （**2024.03.17**）
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<font color="gray">Anique Tahir, Lu Cheng, Huan Liu . - 【arXiv.org】</font>
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![](https://img.shields.io/badge/Citations-0-green) [![](https://img.shields.io/badge/Github%20Stars-22-blue)](https://github.com/aniquetahir/JORA)
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[**Retrieval-Augmented Generation for AI-Generated Content: A Survey**](https://arxiv.org/abs/2402.19473) （**2024.02.29**）
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<font color="gray">Penghao Zhao, Hailin Zhang, Qinhan Yu, Zhengren Wang, Yunteng Geng, etc </font>
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[**The Power of Noise: Redefining Retrieval for RAG Systems**](https://doi.org/10.1145/3626772.3657834) （**2024.01.26**）
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<font color="gray">Florin Cuconasu, Giovanni Trappolini, F. Siciliano, Simone Filice, Cesare Campagnano, etc . - 【arXiv.org】</font>
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![](https://img.shields.io/badge/Citations-37-green) ![](https://img.shields.io/badge/Mendeley%20Readers-51-red) [![](https://img.shields.io/badge/Github%20Stars-26-blue)](https://github.com/florin-git/The-Power-of-Noise)
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[**LLM Augmented LLMs: Expanding Capabilities through Composition**](https://doi.org/10.48550/arXiv.2401.02412) （**2024.01.04**）
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<font color="gray">Rachit Bansal, Bidisha Samanta, Siddharth Dalmia, Nitish Gupta, Shikhar Vashishth, etc . - 【arXiv.org】</font>
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<font color="gray">Jon Saad-Falcon, O. Khattab, Christopher Potts, Matei Zaharia . - 【arXiv.org】</font>
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<font color="gray">Akari Asai, Zeqiu Wu, Yizhong Wang, Avirup Sil, Hannaneh Hajishirzi . - 【arXiv.org】</font>
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<font color="gray">Yile Wang, Peng Li, Maosong Sun, Yang Liu . - 【Conference on Empirical Methods in Natural Language Processing】</font>
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<font color="gray">Fangyuan Xu, Weijia Shi, Eunsol Choi . - 【arXiv.org】</font>
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<font color="gray">Ori Yoran, Tomer Wolfson, Ori Ram, Jonathan Berant . - 【arXiv.org】</font>
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[**RAGAS: Automated Evaluation of Retrieval Augmented Generation**](https://doi.org/10.48550/arXiv.2309.15217) （**2023.09.26**）
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<font color="gray">ES Shahul, Jithin James, Luis Espinosa Anke, Steven Schockaert . - 【arXiv.org】</font>
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[**Benchmarking Large Language Models in Retrieval-Augmented Generation**](https://doi.org/10.48550/arXiv.2309.01431) （**2023.09.04**）
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<font color="gray">Jiawei Chen, Hongyu Lin, Xianpei Han, Le Sun . - 【arXiv.org】</font>
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[**RaLLe: A Framework for Developing and Evaluating Retrieval-Augmented Large Language Models**](https://doi.org/10.48550/arXiv.2308.10633) （**2023.08.21**）
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<font color="gray">Yasuto Hoshi, D. Miyashita, Youyang Ng, Kento Tatsuno, Yasuhiro Morioka, etc . - 【Conference on Empirical Methods in Natural Language Processing】</font>
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[**Augmented Large Language Models with Parametric Knowledge Guiding**](https://doi.org/10.48550/arXiv.2305.04757) （**2023.05.08**）
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<font color="gray">Ziyang Luo, Can Xu, Pu Zhao, Xiubo Geng, Chongyang Tao, etc . - 【arXiv.org】</font>
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[**Lift Yourself Up: Retrieval-augmented Text Generation with Self Memory**](https://doi.org/10.48550/arXiv.2305.02437) （**2023.05.03**）
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<font color="gray">Xin Cheng, Di Luo, Xiuying Chen, Lemao Liu, Dongyan Zhao, etc . - 【arXiv.org】</font>
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<font color="gray">O. Khattab, Keshav Santhanam, Xiang Lisa Li, David Leo Wright Hall, Percy Liang, etc . - 【arXiv.org】</font>
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[**One Embedder, Any Task: Instruction-Finetuned Text Embeddings**](https://doi.org/10.48550/arXiv.2212.09741) （**2022.12.19**）
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<font color="gray">Hongjin Su, Weijia Shi, Jungo Kasai, Yizhong Wang, Yushi Hu, etc . - 【ArXiv】</font>
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<font color="gray">Zhichao Yang, Shufan Wang, Bhanu Pratap Singh Rawat, Avijit Mitra, Hong Yu . - 【Conference on Empirical Methods in Natural Language Processing】</font>
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<font color="gray">Shuyan Zhou, Uri Alon, Frank F. Xu, Zhiruo Wang, Zhengbao Jiang, etc </font>
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[**Relation Extraction as Open-book Examination: Retrieval-enhanced Prompt Tuning**](https://doi.org/10.1145/3477495.3531746) （**2022.05.04**）
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<font color="gray">Xiang Chen, Lei Li, Ningyu Zhang, Chuanqi Tan, Fei Huang, etc . - 【Annual International ACM SIGIR Conference on Research and Development in Information Retrieval】</font>
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[**Contrastive Demonstration Tuning for Pre-trained Language Models**](https://doi.org/10.48550/arXiv.2204.04392) （**2022.04.09**）
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<font color="gray">Xiaozhuan Liang, Ningyu Zhang, Ningyu Zhang, Siyuan Cheng, Zhen Bi, etc . - 【Conference on Empirical Methods in Natural Language Processing】</font>
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[**Multi-Stage Prompting for Knowledgeable Dialogue Generation**](https://doi.org/10.48550/arXiv.2203.08745) （**2022.03.16**）
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<font color="gray">Zihan Liu, M. Patwary, R. Prenger, Shrimai Prabhumoye, Wei Ping, etc . - 【Findings】</font>
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[**Training Data is More Valuable than You Think: A Simple and Effective Method by Retrieving from Training Data**](https://doi.org/10.48550/arXiv.2203.08773) （**2022.03.16**）
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<font color="gray">Shuo Wang, Yichong Xu, Yuwei Fang, Yang Liu, S. Sun, etc . - 【Annual Meeting of the Association for Computational Linguistics】</font>
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<font color="gray">Xu Han, Weilin Zhao, Ning Ding, Zhiyuan Liu, Maosong Sun . - 【AI Open】</font>
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[**Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks**](https://arxiv.org/abs/2005.11401) （**2020.05.22**）
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<font color="gray">Patrick Lewis, Ethan Perez, Aleksandara Piktus, Fabio Petroni, Vladimir Karpukhin, etc . - 【Neural Information Processing Systems】</font>
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[**REALM: Retrieval-Augmented Language Model Pre-Training**](https://arxiv.org/abs/2002.08909) （**2020.02.10**）
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<font color="gray">Kelvin Guu, Kenton Lee, Z. Tung, Panupong Pasupat, Ming-Wei Chang . - 【ArXiv】</font>
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[**Prompt as a Knowledge Probe for Chinese Spelling Check**](https://doi.org/10.1007/978-3-031-10989-8_41)
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<font color="gray">Kun Peng, Nannan Sun, Jiahao Cao, Rui Liu, Jiaqian Ren, etc . - 【Knowledge Science, Engineering and Management】</font>
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‎README.md

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☄️ **EgoAlpha releases the TrustGPT focuses on reasoning. Trust the GPT with the strongest reasoning abilities for authentic and reliable answers. You can click [here](https://trustgpt.co) or visit the [Playgrounds](./Playground.md) directly to experience it。**
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- **[2024.7.11]**
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- 🔥🔥🔥NVIDIA release: Paper[Data, Data Everywhere:A Guide for Pretraining Dataset Construction](https://arxiv.org/pdf/2407.06380)
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- **[2024.7.10]**
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- Paper: [Multi-Object Hallucination in Vision-Language Models](https://arxiv.org/abs/2407.06192)
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- **[2024.7.9]**
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- Paper: [Video-STaR: Self-Training Enables Video Instruction Tuning with Any Supervision](https://arxiv.org/abs/2407.06189)
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- **[2024.7.8]**
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- Paper: [Temporal Grounding of Activities using Multimodal Large Language Models](https://arxiv.org/abs/2407.06157)
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- **[2024.7.7]**
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- 🔥🔥🔥[WAIC：2024:Only spend 2 minutes, the requirements document into a product, China's large model development artefacts fire WAIC](https://www.worldaic.com.cn/)
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