Graph-based Aspect Representation Learning for Entity Resolution

no code implementations • COLING (TextGraphs) 2020 • Zhenqi Zhao, Yuchen Guo, Dingxian Wang, Yufan Huang, Xiangnan He, Bin Gu

Entity Resolution (ER) identifies records that refer to the same real-world entity.

Entity Resolution Link Prediction +1

The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning

no code implementations • 5 Mar 2024 • Nathaniel Li, Alexander Pan, Anjali Gopal, Summer Yue, Daniel Berrios, Alice Gatti, Justin D. Li, Ann-Kathrin Dombrowski, Shashwat Goel, Long Phan, Gabriel Mukobi, Nathan Helm-Burger, Rassin Lababidi, Lennart Justen, Andrew B. Liu, Michael Chen, Isabelle Barrass, Oliver Zhang, Xiaoyuan Zhu, Rishub Tamirisa, Bhrugu Bharathi, Adam Khoja, Zhenqi Zhao, Ariel Herbert-Voss, Cort B. Breuer, Andy Zou, Mantas Mazeika, Zifan Wang, Palash Oswal, Weiran Liu, Adam A. Hunt, Justin Tienken-Harder, Kevin Y. Shih, Kemper Talley, John Guan, Russell Kaplan, Ian Steneker, David Campbell, Brad Jokubaitis, Alex Levinson, Jean Wang, William Qian, Kallol Krishna Karmakar, Steven Basart, Stephen Fitz, Mindy Levine, Ponnurangam Kumaraguru, Uday Tupakula, Vijay Varadharajan, Yan Shoshitaishvili, Jimmy Ba, Kevin M. Esvelt, Alexandr Wang, Dan Hendrycks

To measure these risks of malicious use, government institutions and major AI labs are developing evaluations for hazardous capabilities in LLMs.

Multiple-choice

MP2: A Momentum Contrast Approach for Recommendation with Pointwise and Pairwise Learning

no code implementations • 18 Apr 2022 • Menghan Wang, Yuchen Guo, Zhenqi Zhao, Guangzheng Hu, Yuming Shen, Mingming Gong, Philip Torr

To alleviate the influence of the annotation bias, we perform a momentum update to ensure a consistent item representation.