MUSE Prototype for Music Sentiment Expression. - Ralph Abboud; Joe Tekli (ICCC, 2018)

Learning to Reason: Leveraging Neural Networks for Approximate DNF Counting. - Ralph Abboud; Ismail Ilkan Ceylan; Thomas Lukasiewicz (AAAI, 2020)

On the Approximability of Weighted Model Integration on DNF Structures. - Ralph Abboud; Ismail Ilkan Ceylan; Radoslav Dimitrov (KR, 2020)

BoxE: A Box Embedding Model for Knowledge Base Completion. - Ralph Abboud; Ismail Ilkan Ceylan; Thomas Lukasiewicz; Tommaso Salvatori (NeurIPS, 2020)

CounterExample Guided Neural Synthesis. - Elizabeth Polgreen; Ralph Abboud; Daniel Kroening (CoRR, 2020)

Integration of nonparametric fuzzy classification with an evolutionary-developmental framework to perform music sentiment-based analysis and composition. - Ralph Abboud; Joe Tekli (Soft Comput., 2020)

The Surprising Power of Graph Neural Networks with Random Node Initialization. - Ralph Abboud; Ismail Ilkan Ceylan; Martin Grohe; Thomas Lukasiewicz (IJCAI, 2021)

Node Classification Meets Link Prediction on Knowledge Graphs. - Ralph Abboud; Ismail Ilkan Ceylan (CoRR, 2021)

Temporal Knowledge Graph Completion Using Box Embeddings. - Johannes Messner; Ralph Abboud; Ismail Ilkan Ceylan (AAAI, 2022)

Shortest Path Networks for Graph Property Prediction. - Ralph Abboud; Radoslav Dimitrov; Ismail Ilkan Ceylan (LoG, 2022)

Approximate weighted model integration on DNF structures. - Ralph Abboud; Ismail Ilkan Ceylan; Radoslav Dimitrov (Artif. Intell., 2022)

BioPlanner: Automatic Evaluation of LLMs on Protocol Planning in Biology. - Odhran O'Donoghue; Aleksandar Shtedritski; John Ginger; Ralph Abboud; Ali Essa Ghareeb; Samuel G. Rodriques (EMNLP, 2023)

PlanE: Representation Learning over Planar Graphs. - Radoslav Dimitrov; Zeyang Zhao; Ralph Abboud; Ismail Ilkan Ceylan (NeurIPS, 2023)

BioPlanner: Automatic Evaluation of LLMs on Protocol Planning in Biology. - Odhran O'Donoghue; Aleksandar Shtedritski; John Ginger; Ralph Abboud; Ali Essa Ghareeb; Justin Booth; Samuel G. Rodriques (CoRR, 2023)

Learning and AI Evaluation of Tutors Responding to Students Engaging in Negative Self-Talk. - Danielle R. Thomas; Jionghao Lin; Shambhavi Bhushan; Ralph Abboud; Erin Gatz; Shivang Gupta; Kenneth R. Koedinger (L@S, 2024)

Improving Open-Response Assessment with LearnLM. - Danielle R. Thomas; Conrad Borchers; Shambhavi Bhushan; Sanjit Kakarla; Alex Houk; Ralph Abboud; Shivang Gupta; Erin Gatz; Kenneth R. Koedinger (AIED (5), 2025)

Detecting LLM-Generated Short Answers and Effects on Learner Performance. - Shambhavi Bhushan; Danielle R. Thomas; Conrad Borchers; Isha Raghuvanshi; Ralph Abboud; Erin Gatz; Shivang Gupta; Kenneth R. Koedinger (EC-TE (1), 2025)

Leveraging LLMs to Assess Tutor Moves in Real-Life Dialogues: A Feasibility Study. - Danielle R. Thomas; Conrad Borchers; Jionghao Lin; Sanjit Kakarla; Shambhavi Bhushan; Erin Gatz; Shivang Gupta; Ralph Abboud; Kenneth R. Koedinger (EC-TEL (2), 2025)

Learning to Love LLMs for Answer Interpretation: Chain-of-Thought Prompting and the AMMORE Dataset. - Owen Henkel; Hannah Horne-Robinson; Maria Dyshel; Greg Thompson; Ralph Abboud; Nabil Al Nahin Ch; Baptiste Moreau-Pernet; Kirk Vanacore (J. Learn. Anal., 2025)

Augmenting Human-Annotated Training Data with Large Language Model Generation and Distillation in Open-Response Assessment. - Conrad Borchers; Danielle R. Thomas; Jionghao Lin; Ralph Abboud; Kenneth R. Koedinger (CoRR, 2025)