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Regular updates are essential for maintaining up-to-date knowledge in large language models (LLMs).
Zero-shot relation extraction via reading comprehension
Omer Levy, Minjoon Seo, Eunsol Choi, and Luke Zettlemoyer. 2017 · 2017
Earlier work this paper cites.
Modifying memories in transformer models
Chen Zhu, Ankit Singh Rawat, Manzil Zaheer, Srinadh Bhojanapalli, Daliang Li, Felix Yu, and Sanjiv Kumar. 2020 · 2017
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Lora: Low-rank adaptation of large language models
Edward J Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen. 2021 · 2021
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Prefix-tuning: Optimizing continuous prompts for generation
Xiang Lisa Li and Percy Liang. 2021 · 2021
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Getting your conversation on track: Estimation of residual life for conversations
Zexin Lu, Jing Li, Yingyi Zhang, and Haisong Zhang. 2021b · 2021
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Lora: Low-rank adaptation of large language models
Edward J Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, Weizhu Chen, et al. 2022 · 2022
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Editing models with task arithmetic
Gabriel Ilharco, Marco Tulio Ribeiro, Mitchell Wortsman, Suchin Gururangan, Ludwig Schmidt, Hannaneh Hajishirzi, and Ali Farhadi. 2022 · 2022
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Locating and editing factual associations in gpt
Kevin Meng, David Bau, Alex Andonian, and Yonatan Belinkov. 2022 · 2022
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Fast model editing at scale
Eric Mitchell, Charles Lin, Antoine Bosselut, Chelsea Finn, and Christopher D Manning. 2022 · 2022
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Towards llm-driven dialogue state tracking
Yujie Feng, Zexin Lu, Bo Liu, Liming Zhan, and Xiao-Ming Wu. 2023 · 2023
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How good are large language models at out-of-distribution detection?
Bo Liu, Liming Zhan, Zexin Lu, Yujie Feng, Lei Xue, and Xiao-Ming Wu. 2023 · 2023
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Mass-editing memory in a transformer
Kevin Meng, Arnab Sen Sharma, Alex J Andonian, Yonatan Belinkov, and David Bau. 2023 · 2023
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Differentiable neuro-symbolic reasoning on large-scale knowledge graphs
Chen Shengyuan, Yunfeng Cai, Huang Fang, Xiao Huang, and Mingming Sun. 2023 · 2023
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Cross-lingual knowledge editing in large language models
Jiaan Wang, Yunlong Liang, Zengkui Sun, Yuxuan Cao, Jiarong Xu, and Fandong Meng. 2023 · 2023
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Editing large language models: Problems, methods, and opportunities
Yunzhi Yao, Peng Wang, Bozhong Tian, Siyuan Cheng, Zhoubo Li, Shumin Deng, Huajun Chen, and Ningyu Zhang. 2023 · 2023
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Unlearning bias in language models by partitioning gradients
Charles Yu, Sullam Jeoung, Anish Kasi, Pengfei Yu, and Heng Ji. 2023 · 2023
Cited alongside, same era.
Adalora: Adaptive budget allocation for parameter-efficient fine-tuning
Qingru Zhang, Minshuo Chen, Alexander Bukharin, Nikos Karampatziakis, Pengcheng He, Yu Cheng, Weizhu Chen, and Tuo Zhao. 2023 · 2023
Cited alongside, same era.
Can we edit factual knowledge by in-context learning?
Ce Zheng, Lei Li, Qingxiu Dong, Yuxuan Fan, Zhiyong Wu, Jingjing Xu, and Baobao Chang. 2023 · 2023
Cited alongside, same era.
Adaptive token biaser: Knowledge editing via biasing key entities
Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Hongcheng Gao, Yilong Xu, and Xueqi Cheng. 2024c · 2024
Cited alongside, same era.
Entity alignment with noisy annotations from large language models
Shengyuan Chen, Qinggang Zhang, Junnan Dong, Wen Hua, Qing Li, and Xiao Huang. 2024 · 2024
Consecutive batch model editing with hook layers
Shuaiyi Li, Yang Deng, Deng Cai, Hongyuan Lu, Liang Chen, and Wai Lam. 2024 · 2024
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Evedit: Event-based knowledge editing for deterministic knowledge propagation
Jiateng Liu, Pengfei Yu, Yuji Zhang, Sha Li, Zixuan Zhang, Ruhi Sarikaya, Kevin Small, and Heng Ji. 2024 · 2024
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On the robustness of editing large language models
Xinbei Ma, Tianjie Ju, Jiyang Qiu, Zhuosheng Zhang, Hai Zhao, Lifeng Liu, and Yulong Wang. 2024 · 2024
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Forgetting before learning: Utilizing parametric arithmetic for knowledge updating in large language models
Shiwen Ni, Dingwei Chen, Chengming Li, Xiping Hu, Ruifeng Xu, and Min Yang. 2024 · 2024
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Understanding layer significance in llm alignment
Guangyuan Shi, Zexin Lu, Xiaoyu Dong, Wenlong Zhang, Xuanyu Zhang, Yujie Feng, and Xiao-Ming Wu. 2024 · 2024
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Cited alongside, same era.
Alphaedit: Null-space constrained knowledge editing for language models
Junfeng Fang, Houcheng Jiang, Kun Wang, Yunshan Ma, Xiang Wang, Xiangnan He, and Tat-seng Chua. 2024 · 2024
Cited alongside, same era.
Continual dialogue state tracking via reason-of-select distillation
Yujie Feng, Bo Liu, Xiaoyu Dong, Zexin Lu, Li-Ming Zhan, Xiao-Ming Wu, and Albert Lam. 2024c · 2024
Cited alongside, same era.
Model editing by standard fine-tuning
Govind Krishnan Gangadhar and Karl Stratos. 2024 · 2024
Cited alongside, same era.
Model editing harms general abilities of large language models: Regularization to the rescue
Jia-Chen Gu, Hao-Xiang Xu, Jun-Yu Ma, Pan Lu, Zhen-Hua Ling, Kai-Wei Chang, and Nanyun Peng. 2024 · 2024
Cited alongside, same era.
A unified framework for model editing
Akshat Gupta, Dev Sajnani, and Gopala Anumanchipalli. 2024 · 2024
Cited alongside, same era.
Interpretability-based tailored knowledge editing in transformers
Yihuai Hong and Aldo Lipani. 2024 · 2024
Cited alongside, same era.
Cheng-Hsun Hsueh, Paul Kuo-Ming Huang, Tzu-Han Lin, Che-Wei Liao, Hung-Chieh Fang, Chao-Wei Huang, and Yun-Nung Chen. 2024 · 2024
Cited alongside, same era.
Sss: Editing factual knowledge in language models towards semantic sparse space
Huazheng Wang, Haifeng Sun, Jingyu Wang, Qi Qi, Zixuan Xia, Menghao Zhang, and Jianxin Liao. 2024b · 2024
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Lemoe: Advanced mixture of experts adaptor for lifelong model editing of large language models
Renzhi Wang and Piji Li. 2024 · 2024
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Yongxin Xu, Ruizhe Zhang, Xinke Jiang, Yujie Feng, Yuzhen Xiao, Xinyu Ma, Runchuan Zhu, Xu Chu, Junfeng Zhao, and Yasha Wang. 2024 · 2024
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A comprehensive study of knowledge editing for large language models
Ningyu Zhang, Yunzhi Yao, Bozhong Tian, Peng Wang, Shumin Deng, Mengru Wang, Zekun Xi, Shengyu Mao, Jintian Zhang, Yuansheng Ni, et al. 2024 · 2024
Later among the works it cites.
Ripplecot: Amplifying ripple effect of knowledge editing in language models via chain-of-thought in-context learning
Zihao Zhao, Yuchen Yang, Yijiang Li, and Yinzhi Cao. 2024 · 2024
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Collabedit: Towards non-destructive collaborative knowledge editing
Jiamu Zheng, Jinghuai Zhang, Tianyu Du, Xuhong Zhang, Jianwei Yin, and Tao Lin. 2024 · 2024
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Decoding by contrasting knowledge: Enhancing llms’ confidence on edited facts
Baolong Bi, Shenghua Liu, Lingrui Mei, Yiwei Wang, Pengliang Ji, and Xueqi Cheng. 2024a · 2025
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Recurrent knowledge identification and fusion for language model continual learning
Yujie Feng, Xujia Wang, Zexin Lu, Shenghong Fu, Guangyuan Shi, Yongxin Xu, Yasha Wang, Philip S Yu, Xu Chu, and Xiao-Ming Wu. 2025 · 2025
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A survey of graph retrieval-augmented generation for customized large language models
Qinggang Zhang, Shengyuan Chen, Yuanchen Bei, Zheng Yuan, Huachi Zhou, Zijin Hong, Junnan Dong, Hao Chen, Yi Chang, and Xiao Huang. 2025 · 2025
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