Aliakbar Nafar

According to our database, Aliakbar Nafar authored at least 12 papers between 2021 and 2026.

Collaborative distances:

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

2026

Analyzing LLM Reasoning to Uncover Mental Health Stigma.

Sreehari Sankar, Aliakbar Nafar, Mona Barman, Hannah K. Heitz, Ashwin Kumar, Pouria Tohidi, Dailun Li, Danish Hussain, Russell DuBois, Hamed Hasheminia, Farshad Majzoubi

CoRR, April, 2026

An Agentic Framework for Neuro-Symbolic Programming.

Aliakbar Nafar, Chetan Chigurupati, Danial Kamali, Hamid R. Karimian, Parisa Kordjamshidi

CoRR, January, 2026

Extracting Probabilistic Knowledge from Large Language Models for Bayesian Network Parameterization.

Aliakbar Nafar, K. Brent Venable, Zijun Cui, Parisa Kordjamshidi

Trans. Mach. Learn. Res., 2026

2025

Learning vs Retrieval: The Role of In-Context Examples in Regression with Large Language Models.

Aliakbar Nafar, K. Brent Venable, Parisa Kordjamshidi

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Reasoning over Uncertain Text by Generative Large Language Models.

Aliakbar Nafar, Kristen Brent Venable, Parisa Kordjamshidi

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Learning vs Retrieval: The Role of In-Context Examples in Regression with LLMs.

Aliakbar Nafar, Kristen Brent Venable, Parisa Kordjamshidi

CoRR, 2024

Probabilistic Reasoning in Generative Large Language Models.

Aliakbar Nafar, Kristen Brent Venable, Parisa Kordjamshidi

CoRR, 2024

Prompt2DeModel: Declarative Neuro-Symbolic Modeling with Natural Language.

Hossein Rajaby Faghihi, Aliakbar Nafar, Andrzej Uszok, Hamid R. Karimian, Parisa Kordjamshidi

Proceedings of the Neural-Symbolic Learning and Reasoning - 18th International Conference, 2024

Teaching Probabilistic Logical Reasoning to Transformers.

Aliakbar Nafar, K. Brent Venable, Parisa Kordjamshidi

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023

GLUECons: A Generic Benchmark for Learning under Constraints.

Hossein Rajaby Faghihi, Aliakbar Nafar, Chen Zheng, Roshanak Mirzaee, Yue Zhang, Andrzej Uszok, Alexander Wan, Tanawan Premsri, Dan Roth, Parisa Kordjamshidi

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2021

DomiKnowS: A Library for Integration of Symbolic Domain Knowledge in Deep Learning.

Hossein Rajaby Faghihi, Quan Guo, Andrzej Uszok, Aliakbar Nafar, Elaheh Raisi, Parisa Kordjamshidi

CoRR, 2021

DomiKnowS: A Library for Integration of Symbolic Domain Knowledge in Deep Learning.

Hossein Rajaby Faghihi, Quan Guo, Andrzej Uszok, Aliakbar Nafar, Parisa Kordjamshidi

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2021