Context-Aware Online Collective Inference for Templated Graphical Models. - Charles Dickens; Connor Pryor; Eriq Augustine; Alexander Miller; Lise Getoor (ICML, 2021)

Local Explanation of Dialogue Response Generation. - Yi-Lin Tuan; Connor Pryor; Wenhu Chen; Lise Getoor; William Yang Wang (NeurIPS, 2021)

FETA: A Benchmark for Few-Sample Task Transfer in Open-Domain Dialogue. - Alon Albalak; Yi-Lin Tuan; Pegah Jandaghi; Connor Pryor; Luke Yoffe; Deepak Ramachandran; Lise Getoor; Jay Pujara; William Yang Wang (EMNLP, 2022)

Visual Sudoku Puzzle Classification: A Suite of Collective Neuro-Symbolic Tasks. - Eriq Augustine; Connor Pryor; Charles Dickens; Jay Pujara; William Yang Wang; Lise Getoor (NeSy, 2022)

Emotion Recognition in Conversation using Probabilistic Soft Logic. - Eriq Augustine; Pegah Jandaghi; Alon Albalak; Connor Pryor; Charles Dickens; William Yang Wang; Lise Getoor (CoRR, 2022)

Using Domain Knowledge to Guide Dialog Structure Induction via Neural Probabilistic Soft Logic. - Connor Pryor; Quan Yuan 001; Jeremiah Z. Liu; Mehran Kazemi; Deepak Ramachandran; Tania Bedrax-Weiss; Lise Getoor (ACL (1), 2023)

CausalDialogue: Modeling Utterance-level Causality in Conversations. - Yi-Lin Tuan; Alon Albalak; Wenda Xu; Michael Saxon; Connor Pryor; Lise Getoor; William Yang Wang (ACL (Findings), 2023)

ESC: Exploration with Soft Commonsense Constraints for Zero-shot Object Navigation. - Kaiwen Zhou; Kaizhi Zheng; Connor Pryor; Yilin Shen; Hongxia Jin; Lise Getoor; Xin Eric Wang (ICML, 2023)

NeuPSL: Neural Probabilistic Soft Logic. - Connor Pryor; Charles Dickens; Eriq Augustine; Alon Albalak; William Yang Wang; Lise Getoor (IJCAI, 2023)

Modeling Patterns for Neural-Symbolic Reasoning Using Energy-based Models. - Charles Dickens; Connor Pryor; Lise Getoor (AAAI Spring Symposia, 2024)

Convex and Bilevel Optimization for Neural-Symbolic Inference and Learning. - Charles Andrew Dickens; Changyu Gao; Connor Pryor; Stephen J. Wright 001; Lise Getoor (ICML, 2024)

Convex and Bilevel Optimization for Neuro-Symbolic Inference and Learning. - Charles Dickens; Changyu Gao; Connor Pryor; Stephen J. Wright 001; Lise Getoor (CoRR, 2024)

A Mathematical Framework, a Taxonomy of Modeling Paradigms, and a Suite of Learning Techniques for Neural-Symbolic Systems. - Charles Dickens; Connor Pryor; Changyu Gao; Alon Albalak; Eriq Augustine; William Yang Wang; Stephen J. Wright 001; Lise Getoor (CoRR, 2024)