Armin Toroghi

According to our database, Armin Toroghi authored at least 15 papers between 2023 and 2026.

Collaborative distances:

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

2026

CommonWhy: A Dataset for Evaluating Entity-Based Causal Commonsense Reasoning in Large Language Models.

Armin Toroghi, Faeze Moradi Kalarde, Scott Sanner

CoRR, May, 2026

Goal-Oriented Reasoning for RAG-based Memory in Conversational Agentic LLM Systems.

Jiazhou Liang, Armin Toroghi, Yifan Simon Liu, Faeze Moradi Kalarde, Liam Gallagher, Scott Sanner

CoRR, May, 2026

Semantic XPath: Structured Agentic Memory Access for Conversational AI.

Yifan Simon Liu, Ruifan Wu, Liam Gallagher, Jiazhou Liang, Armin Toroghi, Scott Sanner

CoRR, March, 2026

A comprehensive review of recommender systems: Transitioning from theory to practice.

Shaina Raza, Mizanur Rahman, Safiullah Kamawal, Armin Toroghi, Ananya Raval, Farshad Navah, Amirmohammad Kazemeini

Comput. Sci. Rev., 2026

2025

Multimodal Item Scoring for Natural Language Recommendation via Gaussian Process Regression with LLM Relevance Judgments.

Yifan Liu, Qianfeng Wen, Jiazhou Liang, Mark Zhao, Justin Cui, Anton Korikov, Armin Toroghi, Junyoung Kim, Scott Sanner

CoRR, October, 2025

CoLoTa: A Dataset for Entity-based Commonsense Reasoning over Long-Tail Knowledge.

Armin Toroghi, Willis Guo, Scott Sanner

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

LLM-based Typed Hyperresolution for Commonsense Reasoning with Knowledge Bases.

Armin Toroghi, Ali Pesaranghader, Tanmana Sadhu, Scott Sanner

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

CR-LT-KGQA: A Knowledge Graph Question Answering Dataset Requiring Commonsense Reasoning and Long-Tail Knowledge.

Willis Guo, Armin Toroghi, Scott Sanner

CoRR, 2024

Bayesian Optimization with LLM-Based Acquisition Functions for Natural Language Preference Elicitation.

David Eric Austin, Anton Korikov, Armin Toroghi, Scott Sanner

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Verifiable, Debuggable, and Repairable Commonsense Logical Reasoning via LLM-based Theory Resolution.

Armin Toroghi, Willis Guo, Ali Pesaranghader, Scott Sanner

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Right for Right Reasons: Large Language Models for Verifiable Commonsense Knowledge Graph Question Answering.

Armin Toroghi, Willis Guo, Mohammad Mahdi Abdollah Pour, Scott Sanner

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Bayesian Inference with Complex Knowledge Graph Evidence.

Armin Toroghi, Scott Sanner

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

2023

Bayesian Knowledge-driven Critiquing with Indirect Evidence.

Armin Toroghi, Griffin Floto, Zhenwei Tang, Scott Sanner

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

LogicRec: Recommendation with Users' Logical Requirements.

Zhenwei Tang, Griffin Floto, Armin Toroghi, Shichao Pei, Xiangliang Zhang, Scott Sanner

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

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

Proceedings of the Advances in Information Retrieval, 2023