7 citations · 11 across the 13 of their papers we have counts for
13 papers
A Spatio-Temporal Expert Prefetching Framework for Efficient MoE-based LLM Inference
Yingnan Zhao, Razvan Bunescu, Ahmed Louri +2
Mixture-of-Experts (MoE) based large language models (LLMs), such as Qwen and DeepSeek, have recently emerged as an effective approach to improving model capacity without proportio…
Automatic Classification of Pedagogical Materials against CS Curriculum Guidelines
Erik Saule, Kalpathi Subramanian, Razvan Bunescu
Professional societies often publish curriculum guidelines to help programs align their content to international standards. In Computer Science, the primary standard is published b…
Reasoning Trajectories for Socratic Debugging of Student Code: From Misconceptions to Contradictions and Updated Beliefs
Erfan Al-Hossami, Razvan Bunescu
In Socratic debugging, instructors guide students towards identifying and fixing a bug on their own, instead of providing the bug fix directly. Most novice programmer bugs are caus…
McMining: Automated Discovery of Misconceptions in Student Code
Erfan Al-Hossami, Razvan Bunescu
When learning to code, students often develop misconceptions about various programming language concepts. These can not only lead to bugs or inefficient code, but also slow down th…
A Survey of Affective Recommender Systems: Modeling Attitudes, Emotions, and Moods for Personalization
Tonmoy Hasan, Razvan Bunescu
Affective Recommender Systems are an emerging class of intelligent systems that aim to enhance personalization by aligning recommendations with users' affective states. Reflecting…
Engineering Serendipity through Recommendations of Items with Atypical Aspects
Ramit Aditya, Razvan Bunescu, Smita Nannaware +1
A restaurant dinner or a hotel stay may lead to memorable experiences when guests encounter unexpected aspects that also match their interests. For example, an origami-making stati…
A Text-Based Recommender System that Leverages Explicit Affective State Preferences
Tonmoy Hasan, Razvan Bunescu
The affective attitude of liking a recommended item reflects just one category in a wide spectrum of affective phenomena that also includes emotions such as entranced or intrigued,…
Algorithmic Strategies for Sustainable Reuse of Neural Network Accelerators with Permanent Faults
Youssef A. Ait Alama, Sampada Sakpal, Ke Wang +3
Hardware failures are a growing challenge for machine learning accelerators, many of which are based on systolic arrays. When a permanent hardware failure occurs in a systolic arra…
An Expectation-Realization Model for Metaphor Detection
Oseremen O. Uduehi, Razvan C. Bunescu
We propose a metaphor detection architecture that is structured around two main modules: an expectation component that estimates representations of literal word expectations given…
Extraction of Atypical Aspects from Customer Reviews: Datasets and Experiments with Language Models
Smita Nannaware, Erfan Al-Hossami, Razvan Bunescu
A restaurant dinner may become a memorable experience due to an unexpected aspect enjoyed by the customer, such as an origami-making station in the waiting area. If aspects that ar…
Can Language Models Employ the Socratic Method? Experiments with Code Debugging
Erfan Al-Hossami, Razvan Bunescu, Justin Smith +1
When employing the Socratic method of teaching, instructors guide students toward solving a problem on their own rather than providing the solution directly. While this strategy ca…
Reclaimer: A Reinforcement Learning Approach to Dynamic Resource Allocation for Cloud Microservices
Quintin Fettes, Avinash Karanth, Razvan Bunescu +2
Many cloud applications are migrated from the monolithic model to a microservices framework in which hundreds of loosely-coupled microservices run concurrently, with significant be…
Figure Captioning with Reasoning and Sequence-Level Training
Charles Chen, Ruiyi Zhang, Eunyee Koh +5
Figures, such as bar charts, pie charts, and line plots, are widely used to convey important information in a concise format. They are usually human-friendly but difficult for comp…