7 papers
PsychoAgent: An Affect-Sensitive Cognitive Architecture for Conflict-Aware Memory in LLM Agents
Mohammad Amanlou, Parham Abed Azad, Farbod Davoodi +3
Human-like cognition does not select past experience by topical similarity alone: affective significance and unresolved conflict also shape what becomes accessible. We present Psyc…
A Hybrid TGN-SEAL Model for Dynamic Graph Link Prediction
Nafiseh Sadat Sajadi, Behnam Bahrak, Mahdi Jafari Siavoshani
Predicting links in sparse, continuously evolving networks is a central challenge in network science. Conventional heuristic methods and deep learning models, including Graph Neura…
Beyond Access: Guided LLM Scaffolding for Independent Learning in Undergraduate Statistics
Mohammad Amanlou, Yasaman Amou-Jafari, Mehrad Livian +6
Large language models (LLMs) are increasingly entering students' learning practices, but their educational value may depend on whether they are used to support reasoning or to comp…
KNIGHT: Knowledge Graph-Driven Multiple-Choice Question Generation with Adaptive Hardness Calibration
Mohammad Amanlou, Erfan Shafiee Moghaddam, Yasaman Amou Jafari +3
With the rise of large language models (LLMs), they have become instrumental in applications such as Retrieval-Augmented Generation (RAG). Yet evaluating these systems remains bott…
The Sufficiency-Conciseness Trade-off in LLM Self-Explanation from an Information Bottleneck Perspective
Ali Zahedzadeh, Behnam Bahrak
Large Language Models increasingly rely on self-explanations, such as chain of thought reasoning, to improve performance on multi step question answering. While these explanations…
ArtCognition: A Multimodal AI Framework for Affective State Sensing from Visual and Kinematic Drawing Cues
Behrad Binaei-Haghighi, Nafiseh Sadat Sajadi, Mehrad Liviyan +3
The objective assessment of human affective and psychological states presents a significant challenge, particularly through non-verbal channels. This paper introduces digital drawi…