3 citations · 7 across the 10 of their papers we have counts for
10 papers
H-Net++: Hierarchical Dynamic Chunking for Tokenizer-Free Language Modelling in Morphologically-Rich Languages
Mehrdad Zakershahrak, Samira Ghodratnama
Byte-level language models eliminate fragile tokenizers but face computational challenges in morphologically-rich languages (MRLs), where words span many bytes. We propose H-NET++,…
Explanation, Debate, Align: A Weak-to-Strong Framework for Language Model Generalization
Mehrdad Zakershahrak, Samira Ghodratnama
The rapid advancement of artificial intelligence systems has brought the challenge of AI alignment to the forefront of research, particularly in complex decision-making and task ex…
SumRecom: A Personalized Summarization Approach by Learning from Users' Feedback
Samira Ghodratnama, Mehrdad Zakershahrak
Existing multi-document summarization approaches produce a uniform summary for all users without considering individuals' interests, which is highly impractical. Making a user-spec…
Adapting LLMs for Efficient, Personalized Information Retrieval: Methods and Implications
Samira Ghodratnama, Mehrdad Zakershahrak
The advent of Large Language Models (LLMs) heralds a pivotal shift in online user interactions with information. Traditional Information Retrieval (IR) systems primarily relied on…
A Personalized Reinforcement Learning Summarization Service for Learning Structure from Unstructured Data
Samira Ghodratnama, Amin Beheshti, Mehrdad Zakershahrak
The exponential growth of textual data has created a crucial need for tools that assist users in extracting meaningful insights. Traditional document summarization approaches often…
Towards Personalized and Human-in-the-Loop Document Summarization
Samira Ghodratnama
The ubiquitous availability of computing devices and the widespread use of the internet have generated a large amount of data continuously. Therefore, the amount of available infor…
A Query Language for Summarizing and Analyzing Business Process Data
Amin Beheshti, Boualem Benatallah, Hamid Reza Motahari-Nezhad +2
In modern enterprises, Business Processes (BPs) are realized over a mix of workflows, IT systems, Web services and direct collaborations of people. Accordingly, process data (i.e.,…
Am I Rare? An Intelligent Summarization Approach for Identifying Hidden Anomalies
Samira Ghodratnama, Mehrdad Zakershahrak, Fariborz Sobhanmanesh
Monitoring network traffic data to detect any hidden patterns of anomalies is a challenging and time-consuming task that requires high computing resources. To this end, an appropri…
Adaptive Summaries: A Personalized Concept-based Summarization Approach by Learning from Users' Feedback
Samira Ghodratnama, Mehrdad Zakershahrak, Fariborz Sobhanmanesh
Exploring the tremendous amount of data efficiently to make a decision, similar to answering a complicated question, is challenging with many real-world application scenarios. In t…
Are We On The Same Page? Hierarchical Explanation Generation for Planning Tasks in Human-Robot Teaming using Reinforcement Learning
Mehrdad Zakershahrak, Samira Ghodratnama
Providing explanations is considered an imperative ability for an AI agent in a human-robot teaming framework. The right explanation provides the rationale behind an AI agent's dec…