Fetching the paper…
Reading the bibliography…
Multi-hop Question Answering (MQA) under knowledge editing (KE) is a key challenge in Large Language Models (LLMs).
Learning logical definitions from relations
J. Ross Quinlan · 1990
Earlier work this paper cites.
Calibrating noise to sensitivity in private data analysis
Cynthia Dwork, Frank McSherry, Kobbi Nissim, and Adam Smith · 2006
Earlier work this paper cites.
Wikidata: a free collaborative knowledgebase
Denny Vrandečić and Markus Krötzsch · 2014
Earlier work this paper cites.
End-to-end neural entity linking
Nikolaos Kolitsas, Octavian-Eugen Ganea, and Thomas Hofmann · 2018
Earlier work this paper cites.
Transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu, Teven Le Scao, Sylvain Gugger, Mariama Drame, Quentin Lhoest, and Alexander M. Rush · 2019
Earlier work this paper cites.
Recall and learn: Fine-tuning deep pretrained language models with less forgetting
Sanyuan Chen, Yutai Hou, Yiming Cui, Wanxiang Che, Ting Liu, and Xiangzhan Yu · 2020
Earlier work this paper cites.
Dense passage retrieval for open-domain question answering
Vladimir Karpukhin, Barlas Oğuz, Sewon Min, Patrick Lewis, Ledell Yu Wu, Sergey Edunov, Danqi Chen, and Wen tau Yih · 2020
Earlier work this paper cites.
Fast and exact rule mining with amie 3
Jonathan Lajus, Luis Galárraga, and Fabian M. Suchanek · 2020
Earlier work this paper cites.
Rnnlogic: Learning logic rules for reasoning on knowledge graphs
Meng Qu, Junkun Chen, Louis-Pascal Xhonneux, Yoshua Bengio, and Jian Tang · 2020
Earlier work this paper cites.
Differentially private (gradient) expectation maximization algorithm with statistical guarantees
Di Wang, Jiahao Ding, Lijie Hu, Zejun Xie, Miao Pan, and Jinhui Xu · 2020
Earlier work this paper cites.
Modifying memories in transformer models
Chen Zhu, Ankit Singh Rawat, Manzil Zaheer, Srinadh Bhojanapalli, Daliang Li, Felix X. Yu, and Sanjiv Kumar · 2020
Earlier work this paper cites.
Editing factual knowledge in language models
Nicola De Cao, Wilker Aziz, and Ivan Titov · 2021
Earlier work this paper cites.
Do language models have beliefs? methods for detecting, updating, and visualizing model beliefs
Peter Hase, Mona T. Diab, Asli Celikyilmaz, Xian Li, Zornitsa Kozareva, Veselin Stoyanov, Mohit Bansal, and Srini Iyer · 2021
Earlier work this paper cites.
A survey on complex knowledge base question answering: Methods, challenges and solutions
Yunshi Lan, Gaole He, Jinhao Jiang, Jing Jiang, Wayne Xin Zhao, and Ji rong Wen · 2021
Earlier work this paper cites.
Estimating smooth glm in non-interactive local differential privacy model with public unlabeled data
Di Wang, Huangyu Zhang, Marco Gaboardi, and Jinhui Xu · 2021
Earlier work this paper cites.
High dimensional differentially private stochastic optimization with heavy-tailed data
Lijie Hu, Shuo Ni, Hanshen Xiao, and Di Wang · 2022
Earlier work this paper cites.
Towards reasoning in large language models: A survey
Jie Huang and Kevin Chen-Chuan Chang · 2022
Earlier work this paper cites.
Decomposed prompting: A modular approach for solving complex tasks
Tushar Khot, H. Trivedi, Matthew Finlayson, Yao Fu, Kyle Richardson, Peter Clark, and Ashish Sabharwal · 2022
Earlier work this paper cites.
A survey on multi-hop question answering and generation
Vaibhav Mavi, Anubhav Jangra, and Adam Jatowt · 2022
Cited alongside, same era.
Locating and editing factual associations in gpt
Kevin Meng, David Bau, Alex Andonian, and Yonatan Belinkov · 2022
Cited alongside, same era.
Mass-editing memory in a transformer
Kevin Meng, Arnab Sen Sharma, Alex J Andonian, Yonatan Belinkov, and David Bau · 2022
Cited alongside, same era.
Memory-based model editing at scale
Eric Mitchell, Charles Lin, Antoine Bosselut, Christopher D. Manning, and Chelsea Finn · 2022
Cited alongside, same era.
Training language models to follow instructions with human feedback
Long Ouyang, Jeff Wu, Xu Jiang, Diogo Almeida, Carroll L. Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, John Schulman, Jacob Hilton, Fraser Kelton, Luke E. Miller, Maddie Simens, Amanda Askell, Peter Welinder, Paul Francis Christiano, Jan Leike, and Ryan J. Lowe · 2022
Faithful vision-language interpretation via concept bottleneck models
Songning Lai, Lijie Hu, Junxiao Wang, Laure Berti-Equille, and Di Wang · 2023
Later among the works it cites.
Pmet: Precise model editing in a transformer
Xiaopeng Li, Shasha Li, Shezheng Song, Jing Yang, Jun Ma, and Jie Yu · 2023
Later among the works it cites.
A survey of hallucination in large foundation models
Vipula Rawte, Amit Sheth, and Amitava Das · 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.
Plan-and-solve prompting: Improving zero-shot chain-of-thought reasoning by large language models
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Faster rates of private stochastic convex optimization
Jinyan Su, Lijie Hu, and Di Wang · 2022
Cited alongside, same era.
Rule: Neural-symbolic knowledge graph reasoning with rule embedding
Xiaojuan Tang, Song-Chun Zhu, Yitao Liang, and Muhan Zhang · 2022
Cited alongside, same era.
Chain of thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Ed Huai hsin Chi, F. Xia, Quoc Le, and Denny Zhou · 2022
Cited alongside, same era.
Pokemqa: Programmable knowledge editing for multi-hop question answering
Hengrui Gu, Kaixiong Zhou, Xiaotian Han, Ninghao Liu, Ruobing Wang, and Xin Wang · 2023
Cited alongside, same era.
Improving sequential model editing with fact retrieval
Xiaoqi Han, Ru Li, Hongye Tan, Wang Yuanlong, Qinghua Chai, and Jeff Pan · 2023
Cited alongside, same era.
Faithful question answering with monte-carlo planning
Ruixin Hong, Hongming Zhang, Honghui Zhao, Dong Yu, and Changshui Zhang · 2023
Cited alongside, same era.
Differentially private natural language models: Recent advances and future directions
Lijie Hu, Ivan Habernal, Lei Shen, and Di Wang · 2023
Cited alongside, same era.
Lei Wang, Wanyu Xu, Yihuai Lan, Zhiqiang Hu, Yunshi Lan, Roy Ka-Wei Lee, and Ee-Peng Lim · 2023
Later among the works it cites.
Practical differentially private and byzantine-resilient federated learning
Zihang Xiang, Tianhao Wang, Wanyu Lin, and Di Wang · 2023
Later among the works it cites.
An llm can fool itself: A prompt-based adversarial attack
Xilie Xu, Keyi Kong, Ning Liu, Lizhen Cui, Di Wang, Jingfeng Zhang, and Mohan Kankanhalli · 2023
Later among the works it cites.
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
Later among the works it cites.
Mquake: Assessing knowledge editing in language models via multi-hop questions
Zexuan Zhong, Zhengxuan Wu, Christopher D Manning, Christopher Potts, and Danqi Chen · 2023
Later among the works it cites.
Prompt-saw: Leveraging relation-aware graphs for textual prompt compression
Muhammad Asif Ali, Zhengping Li, Shu Yang, Keyuan Cheng, Yang Cao, Tianhao Huang, Lijie Hu, Lu Yu, and Di Wang · 2024
Closest in time.
Multi-hop question answering under temporal knowledge editing
Keyuan Cheng, Gang Lin, Haoyang Fei, Lu Yu, Muhammad Asif Ali, Lijie Hu, Di Wang, et al · 2024
Closest in time.
Wilke: Wise-layer knowledge editor for lifelong knowledge editing
Chenhui Hu, Pengfei Cao, Yubo Chen, Kang Liu, and Jun Zhao · 2024
Closest in time.
See the unseen: Better context-consistent knowledge-editing by noises
Youcheng Huang, Wenqiang Lei, Zheng Zhang, Jiancheng Lv, and Shuicheng Yan · 2024
Closest in time.
Zihang Xiang, Chenglong Wang, and Di Wang · 2024
Closest in time.
Moral: Moe augmented lora for llms’ lifelong learning
Shu Yang, Muhammad Asif Ali, Cheng-Long Wang, Lijie Hu, and Di Wang · 2024
Closest in time.
Human-ai interactions in the communication era: Autophagy makes large models achieving local optima
Shu Yang, Lijie Hu, Lu Yu, Muhammad Asif Ali, and Di Wang · 2024
Closest in time.
Dialectical alignment: Resolving the tension of 3h and security threats of llms
Shu Yang, Jiayuan Su, Han Jiang, Mengdi Li, Keyuan Cheng, Muhammad Asif Ali, Lijie Hu, and Di Wang · 2024
Closest in time.