Liam Hebert

According to our database, Liam Hebert authored at least 12 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Graphormer-IR: Graph Transformers Predict Experimental IR Spectra Using Highly Specialized Attention.

Cailum M. K. Stienstra, Liam Hebert, Patrick Thomas, Alexander Haack, Jason Guo, W. Scott Hopkins

J. Chem. Inf. Model., 2024

Beyond Retrieval: Generating Narratives in Conversational Recommender Systems.

Krishna Sayana, Raghavendra Vasudeva, Yuri Vasilevski, Kun Su, Liam Hebert, Hubert Pham, Ambarish Jash, Sukhdeep S. Sodhi

CoRR, 2024

FLARE: Fusing Language Models and Collaborative Architectures for Recommender Enhancement.

Liam Hebert, Marialena Kyriakidi, Hubert Pham, Krishna Sayana, James Pine, Sukhdeep S. Sodhi, Ambarish Jash

CoRR, 2024

PERSOMA: PERsonalized SOft ProMpt Adapter Architecture for Personalized Language Prompting.

Liam Hebert, Krishna Sayana, Ambarish Jash, Alexandros Karatzoglou, Sukhdeep S. Sodhi, Sumanth Doddapaneni, Yanli Cai, Dima Kuzmin

CoRR, 2024

SignSpeak: Open-Source Time Series Classification for ASL Translation.

Aditya Makkar, Divya Makkar, Aarav Patel, Liam Hebert

CoRR, 2024

Multi-Modal Discussion Transformer: Integrating Text, Images and Graph Transformers to Detect Hate Speech on Social Media.

Liam Hebert, Gaurav Sahu, Yuxuan Guo, Nanda Kishore Sreenivas, Lukasz Golab, Robin Cohen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Multi-Modal Discussion Transformer: Integrating Text, Images and Graph Transformers to Detect Hate Speech on Social Media.

Liam Hebert, Gaurav Sahu, Nanda Kishore Sreenivas, Lukasz Golab, Robin Cohen

CoRR, 2023

Qualitative Analysis of a Graph Transformer Approach to Addressing Hate Speech: Adapting to Dynamically Changing Content.

Liam Hebert, Hong Yi Chen, Robin Cohen, Lukasz Golab

CoRR, 2023

FedFormer: Contextual Federation with Attention in Reinforcement Learning.

Liam Hebert, Lukasz Golab, Pascal Poupart, Robin Cohen

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Predicting Hateful Discussions on Reddit using Graph Transformer Networks and Communal Context.

Liam Hebert, Lukasz Golab, Robin Cohen

Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2022

Robust Candidate Generation for Entity Linking on Short Social Media Texts.

Liam Hebert, Raheleh Makki, Shubhanshu Mishra, Hamidreza Saghir, Anusha Kamath, Yuval Merhav

Proceedings of the Eighth Workshop on Noisy User-generated Text, 2022

2021

ArtBeat - Deep Convolutional Networks for Emotional Inference to Enhance Art with Music.

Liam Hebert, Elizabeth Eddy, Will Harrington, Lauryn Marchand, Jason d'Eon, Sageev Oore

Proceedings of the ICMI '21 Companion: Companion Publication of the 2021 International Conference on Multimodal Interaction, Montreal, QC, Canada, October 18, 2021