no code implementations • 19 Mar 2024 • Pengfei He, Jin-Kao Hao, Jinhui Xia
The minmax multiple traveling salesman problem involves minimizing the longest tour among a set of tours.
no code implementations • 14 Mar 2024 • Pengfei He, Jin-Kao Hao, Qinghua Wu
The capacitated location-routing problem involves determining the depots from a set of candidate capacitated depot locations and finding the required routes from the selected depots to serve a set of customers whereas minimizing a cost function that includes the cost of opening the chosen depots, the fixed utilization cost per vehicle used, and the total cost (distance) of the routes.
1 code implementation • 23 Feb 2024 • Shenglai Zeng, Jiankun Zhang, Pengfei He, Yue Xing, Yiding Liu, Han Xu, Jie Ren, Shuaiqiang Wang, Dawei Yin, Yi Chang, Jiliang Tang
In this work, we conduct extensive empirical studies with novel attack methods, which demonstrate the vulnerability of RAG systems on leaking the private retrieval database.
no code implementations • 4 Feb 2024 • Jie Ren, Han Xu, Pengfei He, Yingqian Cui, Shenglai Zeng, Jiankun Zhang, Hongzhi Wen, Jiayuan Ding, Hui Liu, Yi Chang, Jiliang Tang
We examine from two distinct viewpoints: the copyrights pertaining to the source data held by the data owners and those of the generative models maintained by the model builders.
no code implementations • 30 Jan 2024 • Yingqian Cui, Jie Ren, Pengfei He, Jiliang Tang, Yue Xing
We present a theoretical analysis of the performance of transformer with softmax attention in in-context learning with linear regression tasks.
no code implementations • 10 Oct 2023 • Shenglai Zeng, Yaxin Li, Jie Ren, Yiding Liu, Han Xu, Pengfei He, Yue Xing, Shuaiqiang Wang, Jiliang Tang, Dawei Yin
In this work, we conduct the first comprehensive analysis to explore language models' (LMs) memorization during fine-tuning across tasks.
no code implementations • 3 Oct 2023 • Yingqian Cui, Jie Ren, Yuping Lin, Han Xu, Pengfei He, Yue Xing, Lingjuan Lyu, Wenqi Fan, Hui Liu, Jiliang Tang
FT-Shield addresses copyright protection challenges by designing new watermark generation and detection strategies.
1 code implementation • 2 Oct 2023 • Han Xu, Jie Ren, Pengfei He, Shenglai Zeng, Yingqian Cui, Amy Liu, Hui Liu, Jiliang Tang
ChatGPT is one of the most popular language models which achieve amazing performance on various natural language tasks.
no code implementations • 25 May 2023 • Yingqian Cui, Jie Ren, Han Xu, Pengfei He, Hui Liu, Lichao Sun, Yue Xing, Jiliang Tang
By detecting the watermark from generated images, copyright infringement can be exposed with evidence.
no code implementations • 17 Oct 2022 • Han Xu, Pengfei He, Jie Ren, Yuxuan Wan, Zitao Liu, Hui Liu, Jiliang Tang
To tackle this problem, we propose Probabilistic Categorical Adversarial Attack (PCAA), which transfers the discrete optimization problem to a continuous problem that can be solved efficiently by Projected Gradient Descent.
1 code implementation • 6 Oct 2022 • Jiacheng Liu, Skyler Hallinan, Ximing Lu, Pengfei He, Sean Welleck, Hannaneh Hajishirzi, Yejin Choi
Our work is the first to report that knowledge generated by models that are orders of magnitude smaller than GPT-3, even without direct supervision on the knowledge itself, can exceed the quality of commonsense knowledge elicited from GPT-3.
no code implementations • 1 Dec 2021 • Minjing Shi, Pengfei He, Yuli Shi
We then propose a framework of labeling and preprocessing the images in our dataset.
1 code implementation • NeurIPS 2023 • Nicolas Garcia Trillos, Pengfei He, Chenghui Li
We investigate sufficient conditions that similarity graphs on data sets must satisfy in order for their corresponding graph Laplacians to capture the right geometric information to solve the MMC problem.