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Cloud-based Large Language Models (LLMs) such as ChatGPT have become increasingly integral to daily operations.
Bertscore: Evaluating text generation with bert
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q Weinberger, and Yoav Artzi. 2019 · 1904
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Broadening the scope of differential privacy using metrics
Konstantinos Chatzikokolakis, Miguel E Andrés, Nicolás Emilio Bordenabe, and Catuscia Palamidessi. 2013 · 2013
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Cryptonets: Applying neural networks to encrypted data with high throughput and accuracy
Ran Gilad-Bachrach, Nathan Dowlin, Kim Laine, Kristin Lauter, Michael Naehrig, and John Wernsing. 2016 · 2016
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spaCy 2: Natural language understanding with Bloom embeddings, convolutional neural networks and incremental parsing
Matthew Honnibal and Ines Montani. 2017 · 2017
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Distributed learning of deep neural network over multiple agents
Otkrist Gupta and Ramesh Raskar. 2018 · 2018
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{ \{ GAZELLE } \} : A low latency framework for secure neural network inference
Chiraag Juvekar, Vinod Vaikuntanathan, and Anantha Chandrakasan. 2018 · 2018
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Automated assistance for creative writing with an rnn language model
Melissa Roemmele and Andrew S Gordon. 2018 · 2018
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Split learning for health: Distributed deep learning without sharing raw patient data
Praneeth Vepakomma, Otkrist Gupta, Tristan Swedish, and Ramesh Raskar. 2018 · 2018
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Emoji can facilitate recognition of conveyed indirect meaning
Thomas Holtgraves and Caleb Robinson. 2020 · 2020
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Towards differentially private text representations
Lingjuan Lyu, Yitong Li, Xuanli He, and Tong Xiao. 2020 · 2020
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Delphi: A cryptographic inference system for neural networks
Pratyush Mishra, Ryan Lehmkuhl, Akshayaram Srinivasan, Wenting Zheng, and Raluca Ada Popa. 2020 · 2020
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Cryptflow2: Practical 2-party secure inference
Deevashwer Rathee, Mayank Rathee, Nishant Kumar, Nishanth Chandran, Divya Gupta, Aseem Rastogi, and Rahul Sharma. 2020 · 2020
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Natural language understanding with privacy-preserving bert
Chen Qu, Weize Kong, Liu Yang, Mingyang Zhang, Michael Bendersky, and Marc Najork. 2021 · 2021
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Differential privacy for text analytics via natural text sanitization
Xiang Yue, Minxin Du, Tianhao Wang, Yaliang Li, Huan Sun, and Sherman SM Chow. 2021 · 2021
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Emojis as social information in digital communication
Thorsten M Erle, Karoline Schmid, Simon H Goslar, and Jared D Martin. 2022 · 2022
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Recommendation as language processing (rlp): A unified pretrain, personalized prompt & predict paradigm (p5)
Shijie Geng, Shuchang Liu, Zuohui Fu, Yingqiang Ge, and Yongfeng Zhang. 2022 · 2022
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Iron: Private inference on transformers
Meng Hao, Hongwei Li, Hanxiao Chen, Pengzhi Xing, Guowen Xu, and Tianwei Zhang. 2022 · 2022
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Cheetah: Lean and fast secure { \{ two-party } \} deep neural network inference
Zhicong Huang, Wen-jie Lu, Cheng Hong, and Jiansheng Ding. 2022 · 2022
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Sparks of artificial general intelligence: Early experiments with gpt-4
Sébastien Bubeck, Varun Chandrasekaran, Ronen Eldan, Johannes Gehrke, Eric Horvitz, Ece Kamar, Peter Lee, Yin Tat Lee, Yuanzhi Li, Scott Lundberg, et al. 2023 · 2023
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Hide and seek (has): A lightweight framework for prompt privacy protection
Yu Chen, Tingxin Li, Huiming Liu, and Yang Yu. 2023 · 2023
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Dp-forward: Fine-tuning and inference on language models with differential privacy in forward pass
Minxin Du, Xiang Yue, Sherman SM Chow, Tianhao Wang, Chenyu Huang, and Huan Sun. 2023 · 2023
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How to index item ids for recommendation foundation models
Wenyue Hua, Shuyuan Xu, Yingqiang Ge, and Yongfeng Zhang. 2023 · 2023
Privacy preserving prompt engineering: A survey
Kennedy Edemacu and Xintao Wu. 2024 · 2024
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Large language models (llms) on tabular data: Prediction, generation, and understanding - a survey
Xi Fang, Weijie Xu, Fiona Anting Tan, Jiani Zhang, Ziqing Hu, Yanjun (Jane) Qi, Scott Nickleach, Diego Socolinsky, "SHS" Srinivasan Sengamedu, and Christos Faloutsos. 2024 · 2024
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The impact of reasoning step length on large language models
Mingyu Jin, Qinkai Yu, Dong Shu, Haiyan Zhao, Wenyue Hua, Yanda Meng, Yongfeng Zhang, and Mengnan Du. 2024b · 2024
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Diagnostic performances of claude 3 opus and claude 3.5 sonnet from patient history and key images in radiology’s “diagnosis please” cases
Ryo Kurokawa, Yuji Ohizumi, Jun Kanzawa, Mariko Kurokawa, Yuki Sonoda, Yuta Nakamura, Takao Kiguchi, Wataru Gonoi, and Osamu Abe. 2024 · 2024
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Rella: Retrieval-enhanced large language models for lifelong sequential behavior comprehension in recommendation
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Towards mitigating llm hallucination via self reflection
Ziwei Ji, Tiezheng Yu, Yan Xu, Nayeon Lee, Etsuko Ishii, and Pascale Fung. 2023b · 2023
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Zhigang Kan, Linbo Qiao, Hao Yu, Liwen Peng, Yifu Gao, and Dongsheng Li. 2023 · 2023
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Prompt distillation for efficient llm-based recommendation
Lei Li, Yongfeng Zhang, and Li Chen. 2023 · 2023
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Is chatgpt a good recommender? a preliminary study
Junling Liu, Chao Liu, Renjie Lv, Kang Zhou, and Yan Zhang. 2023 · 2023
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Llms can understand encrypted prompt: Towards privacy-computing friendly transformers
Xuanqi Liu and Zhuotao Liu. 2023 · 2023
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Full parameter fine-tuning for large language models with limited resources
Kai Lv, Yuqing Yang, Tengxiao Liu, Qinghui Gao, Qipeng Guo, and Xipeng Qiu. 2023 · 2023
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Scalable extraction of training data from (production) language models
Milad Nasr, Nicholas Carlini, Jonathan Hayase, Matthew Jagielski, A Feder Cooper, Daphne Ippolito, Christopher A Choquette-Choo, Eric Wallace, Florian Tramèr, and Katherine Lee. 2023 · 2023
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Jianghao Lin, Rong Shan, Chenxu Zhu, Kounianhua Du, Bo Chen, Shigang Quan, Ruiming Tang, Yong Yu, and Weinan Zhang. 2024a · 2024
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Split-and-denoise: Protect large language model inference with local differential privacy
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Reducing llm hallucination using knowledge distillation: A case study with mistral large and mmlu benchmark
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Enhancing text classification through llm-driven active learning and human annotation
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Large language models in biomedical and health informatics: A review with bibliometric analysis
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Exploring concept depth: How large language models acquire knowledge and concept at different layers?
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Edit distance: A metric for machine translation evaluation
Mark A Przybocki, Gregory A Sanders, and Audrey N Le. 2006 · 2043
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