1 code implementation • COLING 2022 • Dongsuk Oh, Yejin Kim, Hodong Lee, H. Howie Huang, Heuiseok Lim
Recent pre-trained language models (PLMs) achieved great success on many natural language processing tasks through learning linguistic features and contextualized sentence representation.
no code implementations • 27 Mar 2024 • Yejin Kim, Scott Rome, Kevin Foley, Mayur Nankani, Rimon Melamed, Javier Morales, Abhay Yadav, Maria Peifer, Sardar Hamidian, H. Howie Huang
It is essential to provide recommendations that are both personalized and diverse, rather than solely relying on achieving high rank-based performance, such as Click-through Rate, Recall, etc.
1 code implementation • 13 Nov 2023 • Rimon Melamed, Lucas H. McCabe, Tanay Wakhare, Yejin Kim, H. Howie Huang, Enric Boix-Adsera
We discover that many natural-language prompts can be replaced by corresponding prompts that are unintelligible to humans but that provably elicit similar behavior in language models.
1 code implementation • 26 Mar 2023 • Haoyu He, Yuede Ji, H. Howie Huang
Given a graph and a pre-trained GNN model, Illuminati is able to identify the important nodes, edges, and attributes that are contributing to the prediction while requiring no prior knowledge of GNN models.
1 code implementation • 13 Sep 2022 • Dongsuk Oh, Yejin Kim, Hodong Lee, H. Howie Huang, Heuiseok Lim
Recent pre-trained language models (PLMs) achieved great success on many natural language processing tasks through learning linguistic features and contextualized sentence representation.
1 code implementation • NDSS 2022 • Isaiah J. King, H. Howie Huang
In this paper, we propose a formalized approach to this problem with a framework we call EULER.
Ranked #1 on Dynamic Link Prediction on DBLP Temporal
no code implementations • 18 Dec 2020 • Ding Ding, H. Howie Huang
In this paper, we propose a spatial-temporal trajectory prediction approach that is able to learn the strategy of a team with multiple coordinated agents.
no code implementations • 20 Aug 2020 • Craig Laprade, Benjamin Bowman, H. Howie Huang
Analysis of cyber relevant data has become an area of increasing focus.