activity
20152026
most citedRA-GCN: Graph Convolutional Network for Disease Prediction Problems with Imbalanced Data

113 citations · 299 across the 71 of their papers we have counts for

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Showing 2025Show all

30 papers · 1 filter

cs.LG2025

Limits and Gains of Test-Time Scaling in Vision-Language Reasoning

Mohammadjavad Ahmadpour, Amirmahdi Meighani, Payam Taebi +3

Test-time scaling (TTS) has emerged as a powerful paradigm for improving the reasoning ability of Large Language Models (LLMs) by allocating additional computation at inference, ye…

cs.CV2025

Infinity and Beyond: Compositional Alignment in VAR and Diffusion T2I Models

Hossein Shahabadi, Niki Sepasian, Arash Marioriyad +2

Achieving compositional alignment between textual descriptions and generated images - covering objects, attributes, and spatial relationships - remains a core challenge for modern…

cs.SD2025

Persian Musical Instruments Classification Using Polyphonic Data Augmentation

Diba Hadi Esfangereh, Mohammad Hossein Sameti, Sepehr Harfi Moridani +2

Musical instrument classification is essential for music information retrieval (MIR) and generative music systems. However, research on non-Western traditions, particularly Persian…

cs.AI2025

The Illusion of Procedural Reasoning: Measuring Long-Horizon FSM Execution in LLMs

Mahdi Samiei, Mahdi Mansouri, Mahdieh Soleymani Baghshah

Large language models (LLMs) have achieved remarkable results on tasks framed as reasoning problems, yet their true ability to perform procedural reasoning, executing multi-step, r…

cs.CV2025

Understanding Counting Mechanisms in Large Language and Vision-Language Models

Hosein Hasani, Amirmohammad Izadi, Fatemeh Askari +4

Counting is one of the fundamental abilities of large language models (LLMs) and large vision-language models (LVLMs). This paper examines how these foundation models represent and…

cs.CL2025★ 1 cited

Large Language Models for Scientific Idea Generation: A Creativity-Centered Survey

Fatemeh Shahhosseini, Arash Marioriyad, Ali Momen +3

Scientific idea generation is central to discovery, requiring the joint satisfaction of novelty and scientific soundness. Unlike standard reasoning or general creative generation,…