Hamed Rahimi

Orcid: 0000-0001-9179-8625

According to our database1, Hamed Rahimi authored at least 15 papers between 2018 and 2025.

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Bibliography

2025
Proceedings of 1st Workshop on Advancing Artificial Intelligence through Theory of Mind.
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CoRR, May, 2025

Gauging Overprecision in LLMs: An Empirical Study.
CoRR, April, 2025

Reasoning LLMs for User-Aware Multimodal Conversational Agents.
CoRR, April, 2025

Demographic User Modeling for Social Robotics with Multimodal Pre-trained Models.
CoRR, February, 2025

USER-VLM 360: Personalized Vision Language Models with User-aware Tuning for Social Human-Robot Interactions.
CoRR, February, 2025

2024
Modeling topic evolution for scientific archives with deep learning. (Modélisation de l'évolution de sujets pour les archives scientifiques par l'apprentissage profond).
PhD thesis, 2024

ANTM: Aligned Neural Topic Models for Exploring Evolving Topics.
Trans. Large Scale Data Knowl. Centered Syst., 2024

Contextualized Topic Coherence Metrics.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023
ANTM: An Aligned Neural Topic Model for Exploring Evolving Topics.
CoRR, 2023

ATEM: A Topic Evolution Model for the Detection of Emerging Topics in Scientific Archives.
Proceedings of the Complex Networks & Their Applications XII, 2023

2021
Design and Simulation of a Hybrid Architecture for Edge Computing in 5G and Beyond.
IEEE Trans. Computers, 2021

Q-SMASH: Q-Learning-based Self-Adaptation of Human-Centered Internet of Things.
Proceedings of the WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Melbourne VIC Australia, December 14, 2021

SMASH: A Semantic-Enabled Multi-agent Approach for Self-adaptation of Human-Centered IoT.
Proceedings of the Advances in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection, 2021

2020
Road Quality Analysis Based on Cognitive Internet of Vehicles (CIoV).
CoRR, 2020

2018
A Novel IoT Architecture based on 5G-IoT and Next Generation Technologies.
CoRR, 2018


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