9 papers
Exploiting Expertise of Non-Expert and Diverse Agents in Social Bandit Learning: A Free Energy Approach
Erfan Mirzaei, Seyed Pooya Shariatpanahi, Alireza Tavakoli +2
Personalized AI-based services involve a population of individual reinforcement learning agents. However, most reinforcement learning algorithms focus on harnessing individual lear…
DeepQuestion: Systematic Generation of Real-World Challenges for Evaluating LLMs Performance
Ali Khoramfar, Ali Ramezani, Mohammad Mahdi Mohajeri +3
While Large Language Models (LLMs) achieve near-human performance on standard benchmarks, their capabilities often fail to generalize to complex, real-world problems. To bridge thi…
A Dual-Axis Taxonomy of Knowledge Editing for LLMs: From Mechanisms to Functions
Amir Mohammad Salehoof, Ali Ramezani, Yadollah Yaghoobzadeh +1
Large language models (LLMs) acquire vast knowledge from large text corpora, but this information can become outdated or inaccurate. Since retraining is computationally expensive,…
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…
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…
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…