59 citations · 64 across the 12 of their papers we have counts for
6 papers · 1 filter
Optimizing Alignment with Less: Leveraging Data Augmentation for Personalized Evaluation
Javad Seraj, Mohammad Mahdi Mohajeri, Mohammad Javad Dousti +1
Automatic evaluation by large language models (LLMs) is a prominent topic today; however, judgment and evaluation tasks are often subjective and influenced by various factors, maki…
Subgoal Discovery Using a Free Energy Paradigm and State Aggregations
Amirhossein Mesbah, Reshad Hosseini, Seyed Pooya Shariatpanahi +1
Reinforcement learning (RL) plays a major role in solving complex sequential decision-making tasks. Hierarchical and goal-conditioned RL are promising methods for dealing with two…
AI-powered Digital Framework for Personalized Economical Quality Learning at Scale
Mrzieh VatandoustMohammadieh, Mohammad Mahdi Mohajeri, Ali Keramati +1
The disparity in access to quality education is significant, both between developed and developing countries and within nations, regardless of their economic status. Socioeconomic…
A Survey On Enhancing Reinforcement Learning in Complex Environments: Insights from Human and LLM Feedback
Alireza Rashidi Laleh, Majid Nili Ahmadabadi
Reinforcement learning (RL) is one of the active fields in machine learning, demonstrating remarkable potential in tackling real-world challenges. Despite its promising prospects,…
CoCoP: Enhancing Text Classification with LLM through Code Completion Prompt
Mohammad Mahdi Mohajeri, Mohammad Javad Dousti, Majid Nili Ahmadabadi
Text classification is a fundamental task in natural language processing (NLP), and large language models (LLMs) have demonstrated their capability to perform this task across vari…
Risk Sensitivity in Markov Games and Multi-Agent Reinforcement Learning: A Systematic Review
Hafez Ghaemi, Shirin Jamshidi, Mohammad Mashreghi +2
Markov games (MGs) and multi-agent reinforcement learning (MARL) are studied to model decision making in multi-agent systems. Traditionally, the objective in MG and MARL has been r…