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Large language models (LLMs) augmented with retrieval systems have demonstrated significant potential in handling knowledge-intensive tasks.
Squad: 100,000+ questions for machine comprehension of text
Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, and Percy Liang. 2016 · 2016
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, Sebastian Riedel, and Douwe Kiela. 2020 · 2020
Earlier work this paper cites.
Entity-based knowledge conflicts in question answering
Shayne Longpre, Kartik Perisetla, Anthony Chen, Nikhil Ramesh, Chris DuBois, and Sameer Singh. 2021 · 2021
Earlier work this paper cites.
Musique: Multihop questions via single-hop question composition
Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, and Ashish Sabharwal. 2022 · 2022
Earlier work this paper cites.
Self-rag: Learning to retrieve, generate, and critique through self-reflection
Akari Asai, Zeqiu Wu, Yizhong Wang, Avirup Sil, and Hannaneh Hajishirzi. 2023 · 2023
Earlier work this paper cites.
Retrieval-augmented generation for large language models: A survey
Yunfan Gao, Yun Xiong, Xinyu Gao, Kangxiang Jia, Jinliu Pan, Yuxi Bi, Yi Dai, Jiawei Sun, and Haofen Wang. 2023 · 2023
Earlier work this paper cites.
Lei Huang, Weijiang Yu, Weitao Ma, Weihong Zhong, Zhangyin Feng, Haotian Wang, Qianglong Chen, Weihua Peng, Xiaocheng Feng, Bing Qin, et al. 2023 · 2023
Earlier work this paper cites.
Efficient memory management for large language model serving with pagedattention
Woosuk Kwon, Zhuohan Li, Siyuan Zhuang, Ying Sheng, Lianmin Zheng, Cody Hao Yu, Joseph Gonzalez, Hao Zhang, and Ion Stoica. 2023 · 2023
Earlier work this paper cites.
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. 2023 · 2023
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OpenAI. 2023 · 2023
Earlier work this paper cites.
Trusting your evidence: Hallucinate less with context-aware decoding
Weijia Shi, Xiaochuang Han, Mike Lewis, Yulia Tsvetkov, Luke Zettlemoyer, and Scott Wen-tau Yih. 2023 · 2023
Earlier work this paper cites.
Generate rather than retrieve: Large language models are strong context generators
Wenhao Yu, Dan Iter, Shuohang Wang, Yichong Xu, Mingxuan Ju, Soumya Sanyal, Chenguang Zhu, Michael Zeng, and Meng Jiang. 2023 · 2023
Earlier work this paper cites.
Instruction tuning for large language models: A survey
Shengyu Zhang, Linfeng Dong, Xiaoya Li, Sen Zhang, Xiaofei Sun, Shuhe Wang, Jiwei Li, Runyi Hu, Tianwei Zhang, Fei Wu, et al. 2023 · 2023
Cited alongside, same era.
Context-faithful prompting for large language models
Wenxuan Zhou, Sheng Zhang, Hoifung Poon, and Muhao Chen. 2023 · 2023
Cited alongside, same era.
The claude 3 model family: Opus, sonnet, haiku
AI Anthropic. 2024 · 2024
Cited alongside, same era.
Retaining key information under high compression ratios: Query-guided compressor for llms
Zhiwei Cao, Qian Cao, Yu Lu, Ningxin Peng, Luyang Huang, Shanbo Cheng, and Jinsong Su. 2024 · 2024
Cited alongside, same era.
Entity alignment with noisy annotations from large language models
Adaptive chameleon or stubborn sloth: Revealing the behavior of large language models in knowledge conflicts
Jian Xie, Kai Zhang, Jiangjie Chen, Renze Lou, and Yu Su. 2024 · 2024
Later among the works it cites.
Knowledge conflicts for LLMs: A survey
Rongwu Xu, Zehan Qi, Zhijiang Guo, Cunxiang Wang, Hongru Wang, Yue Zhang, and Wei Xu. 2024b · 2024
Later among the works it cites.
Intuitive or dependent? investigating LLMs’ behavior style to conflicting prompts
Jiahao Ying, Yixin Cao, Kai Xiong, Long Cui, Yidong He, and Yongbin Liu. 2024 · 2024
Later among the works it cites.
Discerning and resolving knowledge conflicts through adaptive decoding with contextual information-entropy constraint
Xiaowei Yuan, Zhao Yang, Yequan Wang, Shengping Liu, Jun Zhao, and Kang Liu. 2024 · 2024
Later among the works it cites.
Knowgpt: Knowledge graph based prompting for large language models
Qinggang Zhang, Junnan Dong, Hao Chen, Daochen Zha, Zailiang Yu, and Xiao Huang. 2024 · 2024
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
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Shengyuan Chen, Qinggang Zhang, Junnan Dong, Wen Hua, Qing Li, and Xiao Huang. 2024 · 2024
Cited alongside, same era.
Knowledge-to-sql: Enhancing sql generation with data expert llm
Zijin Hong, Zheng Yuan, Hao Chen, Qinggang Zhang, Feiran Huang, and Xiao Huang. 2024 · 2024
Cited alongside, same era.
Found in the middle: Calibrating positional attention bias improves long context utilization
Cheng-Yu Hsieh, Yung-Sung Chuang, Chun-Liang Li, Zifeng Wang, Long T Le, Abhishek Kumar, James Glass, Alexander Ratner, Chen-Yu Lee, Ranjay Krishna, et al. 2024 · 2024
Cited alongside, same era.
Realtime qa: what’s the answer right now?
Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Akari Asai, Xinyan Yu, Dragomir Radev, Noah A Smith, Yejin Choi, Kentaro Inui, et al. 2024 · 2024
Cited alongside, same era.
Sfr-rag: Towards contextually faithful llms
Xuan-Phi Nguyen, Shrey Pandit, Senthil Purushwalkam, Austin Xu, Hailin Chen, Yifei Ming, Zixuan Ke, Silvio Savarese, Caiming Xong, and Shafiq Joty. 2024 · 2024
Cited alongside, same era.
Blinded by generated contexts: How language models merge generated and retrieved contexts when knowledge conflicts?
Hexiang Tan, Fei Sun, Wanli Yang, Yuanzhuo Wang, Qi Cao, and Xueqi Cheng. 2024 · 2024
Cited alongside, same era.
Knowledge editing for large language models: A survey
Song Wang, Yaochen Zhu, Haochen Liu, Zaiyi Zheng, Chen Chen, and Jundong Li. 2024 · 2024
Cited alongside, same era.
How faithful are rag models? quantifying the tug-of-war between rag and llms’ internal prior
Kevin Wu, Eric Wu, and James Zou. 2024 · 2024
Cited alongside, same era.
Enhancing explainable rating prediction through annotated macro concepts
Huachi Zhou, Shuang Zhou, Hao Chen, Ninghao Liu, Fan Yang, and Xiao Huang. 2024 · 2024
Later among the works it cites.
Alphaedit: Null-space constrained knowledge editing for language models
Junfeng Fang, Houcheng Jiang, Kun Wang, Yunshan Ma, Shi Jie, Xiang Wang, Xiangnan He, and Tat-Seng Chua. 2025 · 2025
Closest in time.
Anyedit: Edit any knowledge encoded in language models
Houcheng Jiang, Junfeng Fang, Ningyu Zhang, Guojun Ma, Mingyang Wan, Xiang Wang, Xiangnan He, and Tat-seng Chua. 2025 · 2025
Closest in time.
Faitheval: Can your language model stay faithful to context, even if ”the moon is made of marshmallows”
Yifei Ming, Senthil Purushwalkam, Shrey Pandit, Zixuan Ke, Xuan-Phi Nguyen, Caiming Xiong, and Shafiq Joty. 2025 · 2025
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Knapsack optimization-based schema linking for llm-based text-to-sql generation
Zheng Yuan, Hao Chen, Zijin Hong, Qinggang Zhang, Feiran Huang, and Xiao Huang. 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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Text-attributed graph learning with coupled augmentations
Chuang Zhou, Jiahe Du, Huachi Zhou, Hao Chen, Feiran Huang, and Xiao Huang. 2025 · 2025
Closest in time.