most citedStock Market Dynamics Through Deep Learning Context

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2025

Word2winners at SemEval-2025 Task 7: Multilingual and Crosslingual Fact-Checked Claim Retrieval

Amirmohammad Azadi, Sina Zamani, Mohammadmostafa Rostamkhani +1

This paper describes our system for SemEval 2025 Task 7: Previously Fact-Checked Claim Retrieval. The task requires retrieving relevant fact-checks for a given input claim from the…

cs.CV2024

Illusory VQA: Benchmarking and Enhancing Multimodal Models on Visual Illusions

Mohammadmostafa Rostamkhani, Baktash Ansari, Hoorieh Sabzevari +2

In recent years, Visual Question Answering (VQA) has made significant strides, particularly with the advent of multimodal models that integrate vision and language understanding. H…

cs.CL2024

eagerlearners at SemEval2024 Task 5: The Legal Argument Reasoning Task in Civil Procedure

Hoorieh Sabzevari, Mohammadmostafa Rostamkhani, Sauleh Eetemadi

This study investigates the performance of the zero-shot method in classifying data using three large language models, alongside two models with large input token sizes and the two…

cs.CL2024

BAMO at SemEval-2024 Task 9: BRAINTEASER: A Novel Task Defying Common Sense

Baktash Ansari, Mohammadmostafa Rostamkhani, Sauleh Eetemadi

This paper outlines our approach to SemEval 2024 Task 9, BRAINTEASER: A Novel Task Defying Common Sense. The task aims to evaluate the ability of language models to think creativel…

cs.CE2024★ 1 cited

Stock Market Dynamics Through Deep Learning Context

Amirhossein Aminimehr, Amin Aminimehr, Hamid Moradi Kamali +2

Studies conducted on financial market prediction lack a comprehensive feature set that can carry a broad range of contributing factors; therefore, leading to imprecise results. Fur…