| 2026 | ACL | Semantic XPath: Structured Agentic Memory Access for Conversational AI. | Yifan Simon Liu, Ruifan Wu, Liam Gallagher, Jiazhou Liang, Armin Toroghi, Scott Sanner |
| 2026 | ACL | Multimodal Item Scoring for Natural Language Recommendation via Gaussian Process Regression with LLM Relevance Judgments. | Yifan Simon Liu, Qianfeng Wen, Jiazhou Liang, Mark Zhao, Justin Cui, Anton Korikov, Armin Toroghi, Junyoung Kim, Scott Sanner |
| 2026 | SIGIR | CommonWhy: A Dataset for Evaluating Entity-Based Causal Commonsense Reasoning in Large Language Models. | Armin Toroghi, Faeze Moradi Kalarde, Scott Sanner |
| 2025 | ICLR | LLM-based Typed Hyperresolution for Commonsense Reasoning with Knowledge Bases. | Armin Toroghi, Ali Pesaranghader, Tanmana Sadhu, Scott Sanner |
| 2025 | SIGIR | CoLoTa: A Dataset for Entity-based Commonsense Reasoning over Long-Tail Knowledge. | Armin Toroghi, Willis Guo, Scott Sanner |
| 2024 | AAAI | Bayesian Inference with Complex Knowledge Graph Evidence. | Armin Toroghi, Scott Sanner |
| 2024 | EMNLP | Right for Right Reasons: Large Language Models for Verifiable Commonsense Knowledge Graph Question Answering. | Armin Toroghi, Willis Guo, Mohammad Mahdi Abdollah Pour, Scott Sanner |
| 2024 | EMNLP | Verifiable, Debuggable, and Repairable Commonsense Logical Reasoning via LLM-based Theory Resolution. | Armin Toroghi, Willis Guo, Ali Pesaranghader, Scott Sanner |
| 2024 | RecSys | Bayesian Optimization with LLM-Based Acquisition Functions for Natural Language Preference Elicitation. | David Eric Austin, Anton Korikov, Armin Toroghi, Scott Sanner |
| 2023 | ECIR | Self-supervised Contrastive BERT Fine-tuning for Fusion-Based Reviewed-Item Retrieval. | Mohammad Mahdi Abdollah Pour, Parsa Farinneya, Armin Toroghi, Anton Korikov, Ali Pesaranghader, Touqir Sajed, Manasa Bharadwaj, Borislav Mavrin, Scott Sanner |
| 2023 | SIGIR | LogicRec: Recommendation with Users' Logical Requirements. | Zhenwei Tang, Griffin Floto, Armin Toroghi, Shichao Pei, Xiangliang Zhang, Scott Sanner |
| 2023 | SIGIR | Bayesian Knowledge-driven Critiquing with Indirect Evidence. | Armin Toroghi, Griffin Floto, Zhenwei Tang, Scott Sanner |