Predicting Hateful Discussions on Reddit using Graph Transformer Networks and Communal Context L Hebert, L Golab, R Cohen The 21st IEEE/WIC/ACM International Conference on Web Intelligence and …, 2022 | 6 | 2022 |
Robust Candidate Generation for Entity Linking on Short Social Media Texts L Hebert, R Makki, S Mishra, H Saghir, A Kamath, Y Merhav Workshop on Noisy User-generated Text at COLING 2022, 83-89, 2022 | 4 | 2022 |
FedFormer: Contextual Federation with Attention in Reinforcement Learning L Hebert, L Golab, P Poupart, R Cohen International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2023 | 3 | 2023 |
Qualitative Analysis of a Graph Transformer Approach to Addressing Hate Speech: Adapting to Dynamically Changing Content L Hebert, HY Chen, R Cohen, L Golab Workshop on AI for Social Good at AAAI 2023, 2023 | 3 | 2023 |
Multi-modal discussion transformer: Integrating text, images and graph transformers to detect hate speech on social media L Hebert, G Sahu, Y Guo, NK Sreenivas, L Golab, R Cohen Proceedings of the AAAI Conference on Artificial Intelligence 38 (20), 22096 …, 2024 | 1 | 2024 |
Systems and methods for parameter optimization S Ouellet, P Williams, N Stanley, J Downing, L Hebert US Patent 11,514,328, 2022 | 1 | 2022 |
Graphormer-IR: Graph Transformers Predict Experimental IR Spectra Using Highly Specialized Attention C Stienstra, L Hebert, P Thomas, A Haack, J Guo, S Hopkins | | 2024 |
Towards Proactive Hatespeech Detection using Holistic Multi-Modal Graph Transformers - Abstract L Hebert, HY Chen, L Golab, R Cohen Workshop on Multimodal Fact Checking and Hate Speech Detection at AAAI 2023, 2023 | | 2023 |
ArtBeat–Deep Convolutional Networks for Emotional Inference to Enhance Art with Music L Hebert, E Eddy, W Harrington, L Marchand, J d'Eon, S Oore Companion Publication of the 2021 International Conference on Multimodal …, 2021 | | 2021 |