Aliakbar Nafar¶

Summary¶

PhD in NLP and LLMs with NAACL 2025 Outstanding Paper. 5+ years building production LLM and neuro-symbolic AI models. Open-source project lead with 12+ cross-institution collaborators. Specialty in fine-tuning and training LLMs, in-context learning and reasoning.

News¶

• Serving as a reviewer for ACL Rolling Review March cycle. (March, 2026)
• Submitted "Extracting Probabilistic Knowledge from Large Language Models for Bayesian Network Parameterization" to TMLR. (January, 2026)
• Serving as a reviewer for COLM 2026. (January, 2026)
• Serving as a reviewer for ACL Rolling Review January cycle. (January, 2026)
• Our paper "An Agentic Framework for Neuro-Symbolic Programming" was posted to arXiv. (January, 2026)
• Serving as a reviewer for the journal of Transactions on Machine Learning Research (TMLR). (October, 2025)
• Serving as a reviewer for ACL Rolling Review October cycle. (October, 2025)
• Bayesian-network parameterization preprint arXiv and GitHub updated. (August 13, 2025)
• Invited to serve on the AAAI 2026 Program Committee. (July, 2025)
• Awarded the Carl V. Page Memorial Graduate Fellowship. (April, 2025)
• Serving as a reviewer for ACL Rolling Review May cycle. (May, 2025)
• Our paper received the NAACL 2025 Outstanding Paper Award. (April, 2025)
• Selected as a NAACL 2025 volunteer. (April, 2025)
  
• "Learning vs Retrieval: The Role of In-Context Examples in Regression with LLMs" accepted to NAACL 2025. (January, 2025)
• "Reasoning over Uncertain Text by Generative Large Language Models" accepted to AAAI 2025. (December, 2024)