OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Training Language Models with Memory Augmentation
Zexuan Zhong, Tao Lei, Danqi Chen
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022)
Open Access | Times Cited: 37
Zexuan Zhong, Tao Lei, Danqi Chen
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022)
Open Access | Times Cited: 37
Showing 1-25 of 37 citing articles:
In-Context Retrieval-Augmented Language Models
Ori Ram, Yoav Levine, Itay Dalmedigos, et al.
Transactions of the Association for Computational Linguistics (2023) Vol. 11, pp. 1316-1331
Open Access | Times Cited: 116
Ori Ram, Yoav Levine, Itay Dalmedigos, et al.
Transactions of the Association for Computational Linguistics (2023) Vol. 11, pp. 1316-1331
Open Access | Times Cited: 116
A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models
Wenqi Fan, Yujuan Ding, Liangbo Ning, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 6491-6501
Open Access | Times Cited: 54
Wenqi Fan, Yujuan Ding, Liangbo Ning, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 6491-6501
Open Access | Times Cited: 54
Enabling Large Language Models to Generate Text with Citations
Tianyu Gao, H. W. Yen, Jiatong Yu, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 52
Tianyu Gao, H. W. Yen, Jiatong Yu, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 52
Enhancing knowledge retrieval with in-context learning and semantic search through generative AI
Mohammed-Khalil Ghali, Abdelrahman Farrag, Daehan Won, et al.
Knowledge-Based Systems (2025), pp. 113047-113047
Open Access | Times Cited: 2
Mohammed-Khalil Ghali, Abdelrahman Farrag, Daehan Won, et al.
Knowledge-Based Systems (2025), pp. 113047-113047
Open Access | Times Cited: 2
Retrieval-based Language Models and Applications
Akari Asai, Sewon Min, Zexuan Zhong, et al.
(2023)
Open Access | Times Cited: 31
Akari Asai, Sewon Min, Zexuan Zhong, et al.
(2023)
Open Access | Times Cited: 31
LM vs LM: Detecting Factual Errors via Cross Examination
Roi Cohen, May Hamri, Mor Geva, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 20
Roi Cohen, May Hamri, Mor Geva, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 20
Nonparametric Masked Language Modeling
Sewon Min, Weijia Shi, Michael Lewis, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2023)
Open Access | Times Cited: 14
Sewon Min, Weijia Shi, Michael Lewis, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2023)
Open Access | Times Cited: 14
Metacognitive Retrieval-Augmented Large Language Models
Yujia Zhou, Zheng Liu, J. S. Jin, et al.
Proceedings of the ACM Web Conference 2022 (2024), pp. 1453-1463
Open Access | Times Cited: 4
Yujia Zhou, Zheng Liu, J. S. Jin, et al.
Proceedings of the ACM Web Conference 2022 (2024), pp. 1453-1463
Open Access | Times Cited: 4
Training Trajectories of Language Models Across Scales
Mengzhou Xia, Mikel Artetxe, Chunting Zhou, et al.
(2023), pp. 13711-13738
Open Access | Times Cited: 7
Mengzhou Xia, Mikel Artetxe, Chunting Zhou, et al.
(2023), pp. 13711-13738
Open Access | Times Cited: 7
Revisiting the Architectures like Pointer Networks to Efficiently Improve the Next Word Distribution, Summarization Factuality, and Beyond
Haw-Shiuan Chang, Zonghai Yao, Alolika Gon, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2023), pp. 12707-12730
Open Access | Times Cited: 6
Haw-Shiuan Chang, Zonghai Yao, Alolika Gon, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2023), pp. 12707-12730
Open Access | Times Cited: 6
A Causal Framework for AI Regulation and Auditing
Lee Sharkey, Clíodhna Ní Ghuidhir, Dan Braun, et al.
(2024)
Open Access | Times Cited: 2
Lee Sharkey, Clíodhna Ní Ghuidhir, Dan Braun, et al.
(2024)
Open Access | Times Cited: 2
Enhancing On-Device LLM Inference with Historical Cloud-Based LLM Interactions
Yucheng Ding, Chaoyue Niu, Fan Wu, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 597-608
Closed Access | Times Cited: 2
Yucheng Ding, Chaoyue Niu, Fan Wu, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 597-608
Closed Access | Times Cited: 2
A Review of Large Language Models: Fundamental Architectures, Key Technological Evolutions, Interdisciplinary Technologies Integration, Optimization and Compression Techniques, Applications, and Challenges
Songyue Han, Mingyu Wang, Jialong Zhang, et al.
Electronics (2024) Vol. 13, Iss. 24, pp. 5040-5040
Open Access | Times Cited: 2
Songyue Han, Mingyu Wang, Jialong Zhang, et al.
Electronics (2024) Vol. 13, Iss. 24, pp. 5040-5040
Open Access | Times Cited: 2
Recurrent Attention Networks for Long-text Modeling
Xianming Li, Zongxi Li, Xiaotian Luo, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2023)
Open Access | Times Cited: 5
Xianming Li, Zongxi Li, Xiaotian Luo, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2023)
Open Access | Times Cited: 5
Privacy Implications of Retrieval-Based Language Models
Yangsibo Huang, Samyak Gupta, Zexuan Zhong, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 14887-14902
Open Access | Times Cited: 5
Yangsibo Huang, Samyak Gupta, Zexuan Zhong, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 14887-14902
Open Access | Times Cited: 5
Retrieval In Decoder benefits generative models for explainable complex question answering
Jianzhou Feng, Qin Wang, H. Qiu, et al.
Neural Networks (2024) Vol. 181, pp. 106833-106833
Closed Access | Times Cited: 1
Jianzhou Feng, Qin Wang, H. Qiu, et al.
Neural Networks (2024) Vol. 181, pp. 106833-106833
Closed Access | Times Cited: 1
LLM Augmentations to support Analytical Reasoning over Multiple Documents
Raquib Bin Yousuf, Nicholas Defelice, Mandar Sharma, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 1892-1901
Closed Access | Times Cited: 1
Raquib Bin Yousuf, Nicholas Defelice, Mandar Sharma, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 1892-1901
Closed Access | Times Cited: 1
Emptying the Ocean with a Spoon: Should We Edit Models?
Yuval Pinter, Michael Elhadad
(2023), pp. 15164-15172
Open Access | Times Cited: 3
Yuval Pinter, Michael Elhadad
(2023), pp. 15164-15172
Open Access | Times Cited: 3
Can Retriever-Augmented Language Models Reason? The Blame Game Between the Retriever and the Language Model
Parishad BehnamGhader, Santiago Miret, Siva Reddy
(2023), pp. 15492-15509
Open Access | Times Cited: 3
Parishad BehnamGhader, Santiago Miret, Siva Reddy
(2023), pp. 15492-15509
Open Access | Times Cited: 3
Large Search Model: Redefining Search Stack in the Era of LLMs
Liang Wang, Nan Yang, Xiaolong Huang, et al.
ACM SIGIR Forum (2023) Vol. 57, Iss. 2, pp. 1-16
Open Access | Times Cited: 3
Liang Wang, Nan Yang, Xiaolong Huang, et al.
ACM SIGIR Forum (2023) Vol. 57, Iss. 2, pp. 1-16
Open Access | Times Cited: 3
You can’t pick your neighbors, or can you? When and How to Rely on Retrieval in the kNN-LM
Andrew Drozdov, Shufan Wang, Razieh Rahimi, et al.
(2022), pp. 2997-3007
Open Access | Times Cited: 4
Andrew Drozdov, Shufan Wang, Razieh Rahimi, et al.
(2022), pp. 2997-3007
Open Access | Times Cited: 4
KCTS: Knowledge-Constrained Tree Search Decoding with Token-Level Hallucination Detection
Se-Hyun Choi, Tianqing Fang, Zhaowei Wang, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 2
Se-Hyun Choi, Tianqing Fang, Zhaowei Wang, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 2
HistAlign: Improving Context Dependency in Language Generation by Aligning with History
David Wan, Shiyue Zhang, Mohit Bansal
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 2941-2960
Open Access | Times Cited: 2
David Wan, Shiyue Zhang, Mohit Bansal
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 2941-2960
Open Access | Times Cited: 2
Augmenting Zero-Shot Dense Retrievers with Plug-in Mixture-of-Memories
Suyu Ge, Chenyan Xiong, Corby Rosset, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 1796-1812
Open Access | Times Cited: 1
Suyu Ge, Chenyan Xiong, Corby Rosset, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 1796-1812
Open Access | Times Cited: 1
Memory-Augmenting Decoder-Only Language Models through Encoders (Student Abstract)
Alessio Galatolo, Katie Winkle
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 21, pp. 23494-23496
Open Access
Alessio Galatolo, Katie Winkle
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 21, pp. 23494-23496
Open Access
