Fetching the paper…
Reading the bibliography…
As one of the most advanced techniques in AI, Retrieval-Augmented Generation (RAG) can offer reliable and up-to-date external knowledge, providing huge convenience for numerous tasks.
Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 1901
Earlier work this paper cites.
A statistical interpretation of term specificity and its application in retrieval
Karen Sparck Jones. 1972 · 1972
Earlier work this paper cites.
Information retrieval on the web
Mei Kobayashi and Koichi Takeda. 2000 · 2000
Earlier work this paper cites.
Modern information retrieval: A brief overview
Amit Singhal et al · 2001
Earlier work this paper cites.
Using tf-idf to determine word relevance in document queries. In Proceedings of the first instructional conference on machine learning , Vol. 242. Citeseer, 29–48
Juan Ramos et al · 2003
Earlier work this paper cites.
The probabilistic relevance framework: BM25 and beyond
Stephen Robertson, Hugo Zaragoza, et al · 2009
Earlier work this paper cites.
Search engines: Information retrieval in practice . Vol. 520
W Bruce Croft, Donald Metzler, and Trevor Strohman. 2010 · 2010
Earlier work this paper cites.
Maximum inner-product search using cone trees. In Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining . 931–939
Parikshit Ram and Alexander G Gray. 2012 · 2012
Earlier work this paper cites.
Learning binary codes for maximum inner product search. In Proceedings of the IEEE International Conference on Computer Vision . 4148–4156
Fumin Shen, Wei Liu, Shaoting Zhang, Yang Yang, and Heng Tao Shen. 2015 · 2015
Earlier work this paper cites.
Information retrieval: Implementing and evaluating search engines
Stefan Buttcher, Charles LA Clarke, and Gordon V Cormack. 2016 · 2016
Earlier work this paper cites.
Leveraging user interaction signals for web image search. In Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval . 559–568
Neil O’Hare, Paloma De Juan, Rossano Schifanella, Yunlong He, Dawei Yin, and Yi Chang. 2016 · 2016
Earlier work this paper cites.
Ranking relevance in yahoo search. In Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining . 323–332
Dawei Yin, Yuening Hu, Jiliang Tang, Tim Daly, Mianwei Zhou, Hua Ouyang, Jianhui Chen, Changsung Kang, Hongbo Deng, Chikashi Nobata, et al · 2016
Earlier work this paper cites.
Reading Wikipedia to Answer Open-Domain Questions. In ACL (1) . Association for Computational Linguistics, 1870–1879
Danqi Chen, Adam Fisch, Jason Weston, and Antoine Bordes. 2017 · 2017
Earlier work this paper cites.
Improving Neural Language Models with a Continuous Cache. In ICLR (Poster) . OpenReview.net
Edouard Grave, Armand Joulin, and Nicolas Usunier. 2017 · 2017
Earlier work this paper cites.
A knowledge-grounded neural conversation model. In Proceedings of the AAAI Conference on Artificial Intelligence , Vol. 32
Marjan Ghazvininejad, Chris Brockett, Ming-Wei Chang, Bill Dolan, Jianfeng Gao, Wen-tau Yih, and Michel Galley. 2018 · 2018
Earlier work this paper cites.
Improving language understanding by generative pre-training
Alec Radford, Karthik Narasimhan, Tim Salimans, Ilya Sutskever, et al · 2018
Earlier work this paper cites.
Deep supervised hashing with anchor graph. In Proceedings of the IEEE/CVF international conference on computer vision . 9796–9804
Yudong Chen, Zhihui Lai, Yujuan Ding, Kaiyi Lin, and Wai Keung Wong. 2019 · 2019
Earlier work this paper cites.
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In NAACL-HLT (1) . Association for Computational Linguistics, 4171–4186
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Earlier work this paper cites.
Graph neural networks for social recommendation. In The world wide web conference . 417–426
Wenqi Fan, Yao Ma, Qing Li, Yuan He, Eric Zhao, Jiliang Tang, and Dawei Yin. 2019 · 2019
Earlier work this paper cites.
Language models as knowledge bases?
Fabio Petroni, Tim Rocktäschel, Patrick Lewis, Anton Bakhtin, Yuxiang Wu, Alexander H Miller, and Sebastian Riedel. 2019 · 2019
Earlier work this paper cites.
Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, Ilya Sutskever, et al · 2019
Earlier work this paper cites.
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) . 3982–3992
Nils Reimers and Iryna Gurevych. 2019 · 2019
Earlier work this paper cites.
Real-time open-domain question answering with dense-sparse phrase index
Minjoon Seo, Jinhyuk Lee, Tom Kwiatkowski, Ankur P Parikh, Ali Farhadi, and Hannaneh Hajishirzi. 2019 · 2019
Earlier work this paper cites.
BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis. In NAACL-HLT (1) . Association for Computational Linguistics, 2324–2335
Hu Xu, Bing Liu, Lei Shu, and Philip S. Yu. 2019 · 2019
Earlier work this paper cites.
Bridging the gap between prior and posterior knowledge selection for knowledge-grounded dialogue generation. In Proceedings of the 2020 conference on empirical methods in natural language processing (EMNLP) . 3426–3437
Xiuyi Chen, Fandong Meng, Peng Li, Feilong Chen, Shuang Xu, Bo Xu, and Jie Zhou. 2020 · 2020
Earlier work this paper cites.
Bilinear Supervised Hashing Based on 2D Image Features
Yujuan Ding, Wai Keung Wong, Zhihui Lai, and Zheng Zhang. 2020a · 2020
Earlier work this paper cites.
Discriminative dual-stream deep hashing for large-scale image retrieval
Yujuan Ding, Wai Keung Wong, Zhihui Lai, and Zheng Zhang. 2020b · 2020
Earlier work this paper cites.
A graph neural network framework for social recommendations
Wenqi Fan, Yao Ma, Qing Li, Jianping Wang, Guoyong Cai, Jiliang Tang, and Dawei Yin. 2020 · 2020
Earlier work this paper cites.
Entities as Experts: Sparse Memory Access with Entity Supervision. In EMNLP (1) . Association for Computational Linguistics, 4937–4951
Thibault Févry, Livio Baldini Soares, Nicholas FitzGerald, Eunsol Choi, and Tom Kwiatkowski. 2020 · 2020
Earlier work this paper cites.
Retrieval augmented language model pre-training. In International conference on machine learning . PMLR, 3929–3938
Kelvin Guu, Kenton Lee, Zora Tung, Panupong Pasupat, and Mingwei Chang. 2020 · 2020
Earlier work this paper cites.
Dense Passage Retrieval for Open-Domain Question Answering. In EMNLP (1) . Association for Computational Linguistics, 6769–6781
Vladimir Karpukhin, Barlas Oguz, Sewon Min, Patrick S. H. Lewis, Ledell Wu, Sergey Edunov, Danqi Chen, and Wen-tau Yih. 2020 · 2020
Earlier work this paper cites.
Generalization through Memorization: Nearest Neighbor Language Models. In International Conference on Learning Representations
Urvashi Khandelwal, Omer Levy, Dan Jurafsky, Luke Zettlemoyer, and Mike Lewis. 2020 · 2020
Earlier work this paper cites.
Colbert: Efficient and effective passage search via contextualized late interaction over bert. In Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval . 39–48
Omar Khattab and Matei Zaharia. 2020 · 2020
Earlier work this paper cites.
Pre-training via paraphrasing
Mike Lewis, Marjan Ghazvininejad, Gargi Ghosh, Armen Aghajanyan, Sida Wang, and Luke Zettlemoyer. 2020a · 2020
Earlier work this paper cites.
Retrieval-augmented generation for knowledge-intensive nlp tasks
Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, et al · 2020
Earlier work this paper cites.
Does Gender Matter? Towards Fairness in Dialogue Systems. In Proceedings of the 28th International Conference on Computational Linguistics . 4403–4416
Haochen Liu, Jamell Dacon, Wenqi Fan, Hui Liu, Zitao Liu, and Jiliang Tang. 2020 · 2020
Earlier work this paper cites.
AmbigQA: Answering Ambiguous Open-domain Questions. In EMNLP (1) . Association for Computational Linguistics, 5783–5797
Sewon Min, Julian Michael, Hannaneh Hajishirzi, and Luke Zettlemoyer. 2020 · 2020
Earlier work this paper cites.
How Context Affects Language Models’ Factual Predictions. In AKBC
Fabio Petroni, Patrick S. H. Lewis, Aleksandra Piktus, Tim Rocktäschel, Yuxiang Wu, Alexander H. Miller, and Sebastian Riedel. 2020 · 2020
Earlier work this paper cites.
Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J Liu. 2020 · 2020
Earlier work this paper cites.
Scalable Zero-shot Entity Linking with Dense Entity Retrieval. In EMNLP (1) . Association for Computational Linguistics, 6397–6407
Ledell Wu, Fabio Petroni, Martin Josifoski, Sebastian Riedel, and Luke Zettlemoyer. 2020 · 2020
Earlier work this paper cites.
Boosting neural machine translation with similar translations. In Annual Meeting of the Association for Computational Linguistics . Association for Computational Linguistics, 1570–1579
Jitao Xu, Josep-Maria Crego, and Jean Senellart. 2020 · 2020
Earlier work this paper cites.
Evaluating large language models trained on code
Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Ponde de Oliveira Pinto, Jared Kaplan, Harri Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, et al · 2021
Earlier work this paper cites.
Template-Based Named Entity Recognition Using BART. In ACL/IJCNLP (Findings) (Findings of ACL, Vol. ACL/IJCNLP 2021) . Association for Computational Linguistics, 1835–1845
Leyang Cui, Yu Wu, Jian Liu, Sen Yang, and Yue Zhang. 2021 · 2021
Earlier work this paper cites.
Attacking black-box recommendations via copying cross-domain user profiles. In 2021 IEEE 37th International Conference on Data Engineering (ICDE) . IEEE, 1583–1594
Wenqi Fan, Tyler Derr, Xiangyu Zhao, Yao Ma, Hui Liu, Jianping Wang, Jiliang Tang, and Qing Li. 2021 · 2021
Earlier work this paper cites.
Distilling Knowledge from Reader to Retriever for Question Answering. In ICLR 2021-9th International Conference on Learning Representations
Gautier Izacard and Edouard Grave. 2021a · 2021
Earlier work this paper cites.
Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering. In EACL 2021-16th Conference of the European Chapter of the Association for Computational Linguistics . Association for Computational Linguistics, 874–880
Gautier Izacard and Edouard Grave. 2021b · 2021
Earlier work this paper cites.
How can we know when language models know? on the calibration of language models for question answering
Zhengbao Jiang, Jun Araki, Haibo Ding, and Graham Neubig. 2021 · 2021
Earlier work this paper cites.
Prefix-Tuning: Optimizing Continuous Prompts for Generation. In ACL/IJCNLP (1) . Association for Computational Linguistics, 4582–4597
Xiang Lisa Li and Percy Liang. 2021 · 2021
Earlier work this paper cites.
Trustworthy ai: A computational perspective
Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Yaxin Li, Shaili Jain, Yunhao Liu, Anil K Jain, and Jiliang Tang. 2021 · 2021
Earlier work this paper cites.
RevCore: Review-Augmented Conversational Recommendation. In ACL/IJCNLP (Findings) (Findings of ACL, Vol. ACL/IJCNLP 2021) . Association for Computational Linguistics, 1161–1173
Yu Lu, Junwei Bao, Yan Song, Zichen Ma, Shuguang Cui, Youzheng Wu, and Xiaodong He. 2021 · 2021
Earlier work this paper cites.
Retrieval Augmented Code Generation and Summarization. In EMNLP (Findings) . Association for Computational Linguistics, 2719–2734
Md. Rizwan Parvez, Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, and Kai-Wei Chang. 2021 · 2021
Earlier work this paper cites.
Learning transferable visual models from natural language supervision. In International conference on machine learning . PMLR, 8748–8763
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
Earlier work this paper cites.
Multimodal machine learning for drug knowledge discovery. In Proceedings of the 14th ACM International Conference on Web Search and Data Mining . 1115–1116
Guy Shtar. 2021 · 2021
Earlier work this paper cites.
Retrieval Augmentation Reduces Hallucination in Conversation. In EMNLP (Findings) . Association for Computational Linguistics, 3784–3803
Kurt Shuster, Spencer Poff, Moya Chen, Douwe Kiela, and Jason Weston. 2021 · 2021
Earlier work this paper cites.
End-to-end training of multi-document reader and retriever for open-domain question answering
Devendra Singh, Siva Reddy, Will Hamilton, Chris Dyer, and Dani Yogatama. 2021 · 2021
Earlier work this paper cites.
Adaptive semiparametric language models
Dani Yogatama, Cyprien de Masson d’Autume, and Lingpeng Kong. 2021 · 2021
Earlier work this paper cites.
Multi-modal molecular programs regulate melanoma cell state
Miles C Andrews, Junna Oba, Chang-Jiun Wu, Haifeng Zhu, Tatiana Karpinets, Caitlin A Creasy, Marie-Andrée Forget, Xiaoxing Yu, Xingzhi Song, Xizeng Mao, et al · 2022
Earlier work this paper cites.
Improving language models by retrieving from trillions of tokens. In International conference on machine learning . PMLR, 2206–2240
Sebastian Borgeaud, Arthur Mensch, Jordan Hoffmann, Trevor Cai, Eliza Rutherford, Katie Millican, George Bm Van Den Driessche, Jean-Baptiste Lespiau, Bogdan Damoc, Aidan Clark, et al · 2022
Earlier work this paper cites.
Knowledge-enhanced Black-box Attacks for Recommendations. In Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining . 108–117
Jingfan Chen, Wenqi Fan, Guanghui Zhu, Xiangyu Zhao, Chunfeng Yuan, Qing Li, and Yihua Huang. 2022 · 2022
Earlier work this paper cites.
Mention Memory: incorporating textual knowledge into Transformers through entity mention attention. In ICLR . OpenReview.net
Michiel de Jong, Yury Zemlyanskiy, Nicholas FitzGerald, Fei Sha, and William W. Cohen. 2022 · 2022
Cited alongside, same era.
Compositional semantic parsing with large language models. In The Eleventh International Conference on Learning Representations
Andrew Drozdov, Nathanael Schärli, Ekin Akyürek, Nathan Scales, Xinying Song, Xinyun Chen, Olivier Bousquet, and Denny Zhou. 2022 · 2022
Cited alongside, same era.
A Comprehensive Survey on Trustworthy Recommender Systems
Wenqi Fan, Xiangyu Zhao, Xiao Chen, Jingran Su, Jingtong Gao, Lin Wang, Qidong Liu, Yiqi Wang, Han Xu, Lei Chen, et al · 2022
Cited alongside, same era.
Unsupervised dense information retrieval with contrastive learning
Izacard Gautier, Caron Mathilde, Hosseini Lucas, Riedel Sebastian, Bojanowski Piotr, Joulin Armand, and Grave Edouard. 2022 · 2022
Cited alongside, same era.
Re2G: Retrieve, Rerank, Generate. In NAACL-HLT . Association for Computational Linguistics, 2701–2715
Anupam Purwar and Rahul Sundar. 2023 · 2023
Later among the works it cites.
In-context retrieval-augmented language models
Ori Ram, Yoav Levine, Itay Dalmedigos, Dor Muhlgay, Amnon Shashua, Kevin Leyton-Brown, and Yoav Shoham. 2023 · 2023
Later among the works it cites.
Smallcap: lightweight image captioning prompted with retrieval augmentation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 2840–2849
Rita Ramos, Bruno Martins, Desmond Elliott, and Yova Kementchedjhieva. 2023 · 2023
Later among the works it cites.
Retrieve-and-sample: Document-level event argument extraction via hybrid retrieval augmentation. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) . 293–306
Yubing Ren, Yanan Cao, Ping Guo, Fang Fang, Wei Ma, and Zheng Lin. 2023 · 2023
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Michael R. Glass, Gaetano Rossiello, Md. Faisal Mahbub Chowdhury, Ankita Naik, Pengshan Cai, and Alfio Gliozzo. 2022 · 2022
Cited alongside, same era.
Language models (mostly) know what they know
Saurav Kadavath, Tom Conerly, Amanda Askell, Tom Henighan, Dawn Drain, Ethan Perez, Nicholas Schiefer, Zac Hatfield-Dodds, Nova DasSarma, Eli Tran-Johnson, et al · 2022
Cited alongside, same era.
Demonstrate-search-predict: Composing retrieval and language models for knowledge-intensive nlp
Omar Khattab, Keshav Santhanam, Xiang Lisa Li, David Hall, Percy Liang, Christopher Potts, and Matei Zaharia. 2022 · 2022
Cited alongside, same era.
Hyuhng Joon Kim, Hyunsoo Cho, Junyeob Kim, Taeuk Kim, Kang Min Yoo, and Sang-goo Lee. 2022 · 2022
Cited alongside, same era.
Internet-Augmented Dialogue Generation. In ACL (1) . Association for Computational Linguistics, 8460–8478
Mojtaba Komeili, Kurt Shuster, and Jason Weston. 2022 · 2022
Cited alongside, same era.
Copy is All You Need. In The Eleventh International Conference on Learning Representations
Tian Lan, Deng Cai, Yan Wang, Heyan Huang, and Xian-Ling Mao. 2022 · 2022
Cited alongside, same era.
Internet-augmented language models through few-shot prompting for open-domain question answering
Angeliki Lazaridou, Elena Gribovskaya, Wojciech Stokowiec, and Nikolai Grigorev. 2022 · 2022
Cited alongside, same era.
Large language models with controllable working memory
Daliang Li, Ankit Singh Rawat, Manzil Zaheer, Xin Wang, Michal Lukasik, Andreas Veit, Felix Yu, and Sanjiv Kumar. 2022b · 2022
Cited alongside, same era.
Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy. In The 2023 Conference on Empirical Methods in Natural Language Processing
Zhihong Shao, Yeyun Gong, Minlie Huang, Nan Duan, Weizhu Chen, et al · 2023
Later among the works it cites.
kNN-Diffusion: Image Generation via Large-Scale Retrieval. In ICLR . OpenReview.net
Shelly Sheynin, Oron Ashual, Adam Polyak, Uriel Singer, Oran Gafni, Eliya Nachmani, and Yaniv Taigman. 2023 · 2023
Later among the works it cites.
Replug: Retrieval-augmented black-box language models
Weijia Shi, Sewon Min, Michihiro Yasunaga, Minjoon Seo, Rich James, Mike Lewis, Luke Zettlemoyer, and Wen-tau Yih. 2023 · 2023
Later among the works it cites.
Suzanna Sia and Kevin Duh. 2023 · 2023
Later among the works it cites.
Improving the domain adaptation of retrieval augmented generation (RAG) models for open domain question answering
Shamane Siriwardhana, Rivindu Weerasekera, Elliott Wen, Tharindu Kaluarachchi, Rajib Rana, and Suranga Nanayakkara. 2023 · 2023
Later among the works it cites.
Selective Annotation Makes Language Models Better Few-Shot Learners. In ICLR . OpenReview.net
Hongjin Su, Jungo Kasai, Chen Henry Wu, Weijia Shi, Tianlu Wang, Jiayi Xin, Rui Zhang, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, and Tao Yu. 2023 · 2023
Later among the works it cites.
Graphvf: Controllable protein-specific 3d molecule generation with variational flow
Fang Sun, Zhihao Zhan, Hongyu Guo, Ming Zhang, and Jian Tang. 2023 · 2023
Later among the works it cites.
NoMIRACL: Knowing When You Don’t Know for Robust Multilingual Retrieval-Augmented Generation
Nandan Thakur, Luiz Bonifacio, Xinyu Zhang, Odunayo Ogundepo, Ehsan Kamalloo, David Alfonso-Hermelo, Xiaoguang Li, Qun Liu, Boxing Chen, Mehdi Rezagholizadeh, et al · 2023
Later among the works it cites.
Llama 2: Open foundation and fine-tuned chat models
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, et al · 2023
Later among the works it cites.
Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions. In The 61st Annual Meeting Of The Association For Computational Linguistics
Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, and Ashish Sabharwal. 2023 · 2023
Later among the works it cites.
Search-engine-augmented dialogue response generation with cheaply supervised query production
Ante Wang, Linfeng Song, Qi Liu, Haitao Mi, Longyue Wang, Zhaopeng Tu, Jinsong Su, and Dong Yu. 2023d · 2023
Later among the works it cites.
Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing . 7763–7786
Boxin Wang, Wei Ping, Peng Xu, Lawrence McAfee, Zihan Liu, Mohammad Shoeybi, Yi Dong, Oleksii Kuchaiev, Bo Li, Chaowei Xiao, et al · 2023
Later among the works it cites.
Knowledgpt: Enhancing large language models with retrieval and storage access on knowledge bases
Xintao Wang, Qianwen Yang, Yongting Qiu, Jiaqing Liang, Qianyu He, Zhouhong Gu, Yanghua Xiao, and Wei Wang. 2023g · 2023
Later among the works it cites.
Self-Knowledge Guided Retrieval Augmentation for Large Language Models. In The 2023 Conference on Empirical Methods in Natural Language Processing
Yile Wang, Peng Li, Maosong Sun, and Yang Liu. 2023a · 2023
Later among the works it cites.
BioBridge: Bridging Biomedical Foundation Models via Knowledge Graph
Zifeng Wang, Zichen Wang, Balasubramaniam Srinivasan, Vassilis N Ioannidis, Huzefa Rangwala, and Rishita Anubhai. 2023e · 2023
Later among the works it cites.
Can llms express their uncertainty? an empirical evaluation of confidence elicitation in llms
Miao Xiong, Zhiyuan Hu, Xinyang Lu, Yifei Li, Jie Fu, Junxian He, and Bryan Hooi. 2023 · 2023
Later among the works it cites.
Retrieval-augmented domain adaptation of language models. In Proceedings of the 8th Workshop on Representation Learning for NLP (RepL4NLP 2023) . 54–64
Benfeng Xu, Chunxu Zhao, Wenbin Jiang, PengFei Zhu, Songtai Dai, Chao Pang, Zhuo Sun, Shuohuan Wang, and Yu Sun. 2023c · 2023
Later among the works it cites.
Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng, and Tat-seng Chua. 2023a · 2023
Later among the works it cites.
Prompt-based 3d molecular diffusion models for structure-based drug design
Ling Yang, Zhilin Huang, Xiangxin Zhou, Minkai Xu, Wentao Zhang, Yu Wang, Xiawu Zheng, Wenming Yang, Ron O Dror, Shenda Hong, et al · 2023
Later among the works it cites.
ReAct: Synergizing Reasoning and Acting in Language Models. In ICLR . OpenReview.net
Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik R. Narasimhan, and Yuan Cao. 2023 · 2023
Later among the works it cites.
Making Retrieval-Augmented Language Models Robust to Irrelevant Context. In The Twelfth International Conference on Learning Representations
Ori Yoran, Tomer Wolfson, Ori Ram, and Jonathan Berant. 2023 · 2023
Later among the works it cites.
Improving language models via plug-and-play retrieval feedback
Wenhao Yu, Zhihan Zhang, Zhenwen Liang, Meng Jiang, and Ashish Sabharwal. 2023c · 2023
Later among the works it cites.
Merging generated and retrieved knowledge for open-domain QA
Yunxiang Zhang, Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, and Lu Wang. 2023a · 2023
Later among the works it cites.
Retrieving multimodal information for augmented generation: A survey
Ruochen Zhao, Hailin Chen, Weishi Wang, Fangkai Jiao, Xuan Long Do, Chengwei Qin, Bosheng Ding, Xiaobao Guo, Minzhi Li, Xingxuan Li, et al · 2023
Later among the works it cites.
A survey of large language models
Wayne Xin Zhao, Kun Zhou, Junyi Li, Tianyi Tang, Xiaolei Wang, Yupeng Hou, Yingqian Min, Beichen Zhang, Junjie Zhang, Zican Dong, et al · 2023
Later among the works it cites.
Yin Zhu, Zhiling Luo, and Gong Cheng. 2023 · 2023
Later among the works it cites.
Lift yourself up: Retrieval-augmented text generation with self-memory
Xin Cheng, Di Luo, Xiuying Chen, Lemao Liu, Dongyan Zhao, and Rui Yan. 2024 · 2024
Closest in time.
Large legal fictions: Profiling legal hallucinations in large language models
Matthew Dahl, Varun Magesh, Mirac Suzgun, and Daniel E Ho. 2024 · 2024
Closest in time.
Pandora: Jailbreak GPTs by Retrieval Augmented Generation Poisoning
Gelei Deng, Yi Liu, Kailong Wang, Yuekang Li, Tianwei Zhang, and Yang Liu. 2024b · 2024
Closest in time.
FashionReGen: LLM-Empowered Fashion Report Generation
Yujuan Ding, Yunshan Ma, Wenqi Fan, Yige Yao, Tat-Seng Chua, and Qing Li. 2024 · 2024
Closest in time.
A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models
Wenqi Fan, Yujuan Ding, Liangbo Ning, Shijie Wang, Hengyun Li, Dawei Yin, Tat-Seng Chua, and Qing Li. 2024a · 2024
Closest in time.
Graph Machine Learning in the Era of Large Language Models (LLMs)
Wenqi Fan, Shijie Wang, Jiani Huang, Zhikai Chen, Yu Song, Wenzhuo Tang, Haitao Mao, Hui Liu, Xiaorui Liu, Dawei Yin, et al · 2024
Closest in time.
SheetCopilot: Bringing Software Productivity to the Next Level through Large Language Models
Hongxin Li, Jingran Su, Yuntao Chen, Qing Li, and ZHAO-XIANG ZHANG. 2024b · 2024
Closest in time.
AlphaFin: Benchmarking Financial Analysis with Retrieval-Augmented Stock-Chain Framework
Xiang Li, Zhenyu Li, Chen Shi, Yong Xu, Qing Du, Mingkui Tan, Jun Huang, and Wei Lin. 2024a · 2024
Closest in time.
Revolutionizing Retrieval-Augmented Generation with Enhanced PDF Structure Recognition
Demiao Lin. 2024 · 2024
Closest in time.
Clinfo. ai: An open-source retrieval-augmented large language model system for answering medical questions using scientific literature. In PACIFIC SYMPOSIUM ON BIOCOMPUTING 2024 . World Scientific, 8–23
Alejandro Lozano, Scott L Fleming, Chia-Chun Chiang, and Nigam Shah. 2023 · 2024
Closest in time.
Seiji Maekawa, Hayate Iso, Sairam Gurajada, and Nikita Bhutani. 2024 · 2024
Closest in time.
Retrieval-Augmented Generation: Is Dense Passage Retrieval Retrieving?
Benjamin Z. Reichman and Larry Heck. 2024 · 2024
Closest in time.
Toolformer: Language models can teach themselves to use tools
Timo Schick, Jane Dwivedi-Yu, Roberto Dessì, Roberta Raileanu, Maria Lomeli, Eric Hambro, Luke Zettlemoyer, Nicola Cancedda, and Thomas Scialom. 2024 · 2024
Closest in time.
Compressing Long Context for Enhancing RAG with AMR-based Concept Distillation
Kaize Shi, Xueyao Sun, Qing Li, and Guandong Xu. 2024 · 2024
Closest in time.
Spectr: Fast speculative decoding via optimal transport
Ziteng Sun, Ananda Theertha Suresh, Jae Hun Ro, Ahmad Beirami, Himanshu Jain, and Felix Yu. 2024 · 2024
Closest in time.
Jiejun Tan, Zhicheng Dou, Yutao Zhu, Peidong Guo, Kun Fang, and Ji-Rong Wen. 2024 · 2024
Closest in time.
Rethinking Large Language Model Architectures for Sequential Recommendations
Hanbing Wang, Xiaorui Liu, Wenqi Fan, Xiangyu Zhao, Venkataramana Kini, Devendra Yadav, Fei Wang, Zhen Wen, Jiliang Tang, and Hui Liu. 2024a · 2024
Closest in time.
Haoyu Wang, Tuo Zhao, and Jing Gao. 2024c · 2024
Closest in time.
CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation
Junda Wu, Cheng-Chun Chang, Tong Yu, Zhankui He, Jianing Wang, Yupeng Hou, and Julian McAuley. 2024 · 2024
Closest in time.
Financial Report Chunking for Effective Retrieval Augmented Generation
Antonio Jimeno Yepes, Yao You, Jan Milczek, Sebastian Laverde, and Leah Li. 2024 · 2024
Closest in time.
The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG)
Shenglai Zeng, Jiankun Zhang, Pengfei He, Yue Xing, Yiding Liu, Han Xu, Jie Ren, Shuaiqiang Wang, Dawei Yin, Yi Chang, et al · 2024
Closest in time.
Linear-Time Graph Neural Networks for Scalable Recommendations
Jiahao Zhang, Rui Xue, Wenqi Fan, Xin Xu, Qing Li, Jian Pei, and Xiaorui Liu. 2024 · 2024
Closest in time.
Retrieval-Augmented Generation for AI-Generated Content: A Survey
Penghao Zhao, Hailin Zhang, Qinhan Yu, Zhengren Wang, Yunteng Geng, Fangcheng Fu, Ling Yang, Wentao Zhang, and Bin Cui. 2024b · 2024
Closest in time.
Recommender systems in the era of large language models (llms)
Zihuai Zhao, Wenqi Fan, Jiatong Li, Yunqing Liu, Xiaowei Mei, Yiqi Wang, Zhen Wen, Fei Wang, Xiangyu Zhao, Jiliang Tang, et al · 2024
Closest in time.
Yinghao Zhu, Changyu Ren, Shiyun Xie, Shukai Liu, Hangyuan Ji, Zixiang Wang, Tao Sun, Long He, Zhoujun Li, Xi Zhu, et al · 2024
Closest in time.
PoisonedRAG: Knowledge Poisoning Attacks to Retrieval-Augmented Generation of Large Language Models
Wei Zou, Runpeng Geng, Binghui Wang, and Jinyuan Jia. 2024 · 2024
Closest in time.
Grounded Conversation Generation as Guided Traverses in Commonsense Knowledge Graphs. In ACL . Association for Computational Linguistics, 2031–2043
Houyu Zhang, Zhenghao Liu, Chenyan Xiong, and Zhiyuan Liu. 2020 · 2043
Closest in time.
Nonparametric Masked Language Modeling. In ACL (Findings) . Association for Computational Linguistics, 2097–2118
Sewon Min, Weijia Shi, Mike Lewis, Xilun Chen, Wen-tau Yih, Hannaneh Hajishirzi, and Luke Zettlemoyer. 2023 · 2097
Closest in time.