Aliakbar Nafar

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 8

Top Topics

Domain Knowledge

Teacher Education

Top Venues

EACL (Findings)

Publications

Hossein Rajaby Faghihi, Aliakbar Nafar, Andrzej Uszok, Hamid R. Karimian, Parisa Kordjamshidi
Prompt2DeModel: Declarative Neuro-Symbolic Modeling with Natural Language. CoRR (2024)
Aliakbar Nafar, Kristen Brent Venable, Parisa Kordjamshidi
Teaching Probabilistic Logical Reasoning to Transformers. EACL (Findings) (2024)
Aliakbar Nafar, Kristen Brent Venable, Parisa Kordjamshidi
Probabilistic Reasoning in Generative Large Language Models. CoRR (2024)
Hossein Rajaby Faghihi, Aliakbar Nafar, Chen Zheng, Roshanak Mirzaee, Yue Zhang, Andrzej Uszok, Alexander Wan, Tanawan Premsri, Dan Roth, Parisa Kordjamshidi
GLUECons: A Generic Benchmark for Learning Under Constraints. CoRR (2023)
Hossein Rajaby Faghihi, Aliakbar Nafar, Chen Zheng, Roshanak Mirzaee, Yue Zhang, Andrzej Uszok, Alexander Wan, Tanawan Premsri, Dan Roth, Parisa Kordjamshidi
GLUECons: A Generic Benchmark for Learning under Constraints. AAAI (2023)
Aliakbar Nafar, Kristen Brent Venable, Parisa Kordjamshidi
Teaching Probabilistic Logical Reasoning to Transformers. CoRR (2023)
Hossein Rajaby Faghihi, Quan Guo, Andrzej Uszok, Aliakbar Nafar, Parisa Kordjamshidi
DomiKnowS: A Library for Integration of Symbolic Domain Knowledge in Deep Learning. EMNLP (Demos) (2021)
Hossein Rajaby Faghihi, Quan Guo, Andrzej Uszok, Aliakbar Nafar, Elaheh Raisi, Parisa Kordjamshidi
DomiKnowS: A Library for Integration of Symbolic Domain Knowledge in Deep Learning. CoRR (2021)