Liam Hebert - RankMe

24 papers A* 1A 1Journal 17Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Community Norms in the Spotlight: Enabling Task-Agnostic Unsupervised Pre-Training to Benefit Online Social Media. CoRR Liam Hebert, Lucas Kopp, Robin Cohen
2026	J	`jnl`	Efficient, Property-Aligned Fan-Out Retrieval via RL-Compiled Diffusion. CoRR Pengcheng Jiang, Judith Yue Li, Moonkyung Ryu, R. Lily Hu, Kun Su, Zhong Yi Wan, Liam Hebert, Hao Peng, Jiawei Han, Dima Kuzmin, Craig Boutilier
2026	J	`jnl`	GASTON: Graph-Aware Social Transformer for Online Networks. CoRR Olha Wloch, Liam Hebert, Robin Cohen, Lukasz Golab
2025	J	`jnl`	A Machine-Learned "Chemical Intuition" to Overcome Spectroscopic Data Scarcity. J. Chem. Inf. Model. Cailum M. K. Stienstra, Teun van Wieringen, Liam Hebert, Patrick Thomas, Kas J. Houthuijs, Giel Berden, Jos Oomens, Jonathan Martens, W. Scott Hopkins
2025	—	`conf`	Beyond Retrieval: Generating Narratives in Conversational Recommender Systems. WWW (Companion Volume) Krishna Sayana, Raghavendra Vasudeva, Yuri Vasilevski, Kun Su, Liam Hebert, James Pine, Hubert Pham, Ambarish Jash, Sukhdeep S. Sodhi
2025	—	`conf`	FLARE: Fusing Language Models and Collaborative Architectures for Recommender Enhancement. WWW (Companion Volume) Liam Hebert, Marialena Kyriakidi, Hubert Pham, Krishna Sayana, James Pine, Sukhdeep S. Sodhi, Ambarish Jash
2025	J	`jnl`	Infomod: information-theoretic machine learning model diagnostics. Distributed Parallel Databases Armin Esmaelizadeh, Sunil Cotterill, Liam Hebert, Lukasz Golab, Kazem Taghva
2025	J	`jnl`	REGEN: A Dataset and Benchmarks with Natural Language Critiques and Narratives. CoRR Kun Su, Krishna Sayana, Hubert Pham, James Pine, Yuri Vasilevski, Raghavendra Vasudeva, Marialena Kyriakidi, Liam Hebert, Ambarish Jash, Anushya Subbiah, Sukhdeep S. Sodhi
2024	J	`jnl`	Beyond Retrieval: Generating Narratives in Conversational Recommender Systems. CoRR Krishna Sayana, Raghavendra Vasudeva, Yuri Vasilevski, Kun Su, Liam Hebert, Hubert Pham, Ambarish Jash, Sukhdeep S. Sodhi
2024	J	`jnl`	FLARE: Fusing Language Models and Collaborative Architectures for Recommender Enhancement. CoRR Liam Hebert, Marialena Kyriakidi, Hubert Pham, Krishna Sayana, James Pine, Sukhdeep S. Sodhi, Ambarish Jash
2024	J	`jnl`	Graphormer-IR: Graph Transformers Predict Experimental IR Spectra Using Highly Specialized Attention. J. Chem. Inf. Model. Cailum M. K. Stienstra, Liam Hebert, Patrick Thomas, Alexander Haack, Jason Guo, W. Scott Hopkins
2024	J	`jnl`	Mining User Study Data to Judge the Merit of a Model for Supporting User-Specific Explanations of AI Systems. Comput. Intell. Owen Chambers, Robin Cohen, Maura R. Grossman, Liam Hebert, Elias Awad
2024	A*	`conf`	Multi-Modal Discussion Transformer: Integrating Text, Images and Graph Transformers to Detect Hate Speech on Social Media. AAAI Liam Hebert, Gaurav Sahu, Yuxuan Guo, Nanda Kishore Sreenivas, Lukasz Golab, Robin Cohen
2024	J	`jnl`	PERSOMA: PERsonalized SOft ProMpt Adapter Architecture for Personalized Language Prompting. CoRR Liam Hebert, Krishna Sayana, Ambarish Jash, Alexandros Karatzoglou, Sukhdeep S. Sodhi, Sumanth Doddapaneni, Yanli Cai, Dima Kuzmin
2024	J	`jnl`	SignSpeak: Open-Source Time Series Classification for ASL Translation. CoRR Aditya Makkar, Divya Makkar, Aarav Patel, Liam Hebert
2023	A	`conf`	FedFormer: Contextual Federation with Attention in Reinforcement Learning. AAMAS Liam Hebert, Lukasz Golab, Pascal Poupart, Robin Cohen
2023	J	`jnl`	Multi-Modal Discussion Transformer: Integrating Text, Images and Graph Transformers to Detect Hate Speech on Social Media. CoRR Liam Hebert, Gaurav Sahu, Nanda Kishore Sreenivas, Lukasz Golab, Robin Cohen
2023	J	`jnl`	Predicting Hateful Discussions on Reddit using Graph Transformer Networks and Communal Context. CoRR Liam Hebert, Lukasz Golab, Robin Cohen
2023	J	`jnl`	Qualitative Analysis of a Graph Transformer Approach to Addressing Hate Speech: Adapting to Dynamically Changing Content. CoRR Liam Hebert, Hong Yi Chen, Robin Cohen, Lukasz Golab
2022	J	`jnl`	FedFormer: Contextual Federation with Attention in Reinforcement Learning. CoRR Liam Hebert, Lukasz Golab, Pascal Poupart, Robin Cohen
2022	—	`conf`	Predicting Hateful Discussions on Reddit using Graph Transformer Networks and Communal Context. WI/IAT Liam Hebert, Lukasz Golab, Robin Cohen
2022	—	`conf`	Robust Candidate Generation for Entity Linking on Short Social Media Texts. W-NUT@COLING Liam Hebert, Raheleh Makki, Shubhanshu Mishra, Hamidreza Saghir, Anusha Kamath, Yuval Merhav
2022	J	`jnl`	Robust Candidate Generation for Entity Linking on Short Social Media Texts. CoRR Liam Hebert, Raheleh Makki, Shubhanshu Mishra, Hamidreza Saghir, Anusha Kamath, Yuval Merhav
2021	—	`conf`	ArtBeat - Deep Convolutional Networks for Emotional Inference to Enhance Art with Music. ICMI Companion Liam Hebert, Elizabeth Eddy, Will Harrington, Lauryn Marchand, Jason d'Eon, Sageev Oore