3 citations · 5 across the 7 of their papers we have counts for
7 papers
Longitudinal Robot Learning from Demonstration with Care Providers in a Home Environment
Nina Moorman, Julianna Schalkwyk, Vriksha Srihari +6
Learning from demonstration (LfD) methods enable non-expert end users to teach robots novel skills without explicit programming. However most evaluations of the usability of LfD wi…
Constraints-of-Thought: A Framework for Constrained Reasoning in Language-Model-Guided Search
Kamel Alrashedy, Vriksha Srihari, Zulfiqar Zaidi +3
While researchers have made significant progress in enabling large language models (LLMs) to perform multi-step planning, LLMs struggle to ensure that those plans align with high-l…
Generating CAD Code with Vision-Language Models for 3D Designs
Kamel Alrashedy, Pradyumna Tambwekar, Zulfiqar Zaidi +3
Generative AI has transformed the fields of Design and Manufacturing by providing efficient and automated methods for generating and modifying 3D objects. One approach involves usi…
Can LLMs Patch Security Issues?
Kamel Alrashedy, Abdullah Aljasser, Pradyumna Tambwekar +1
Large Language Models (LLMs) have shown impressive proficiency in code generation. Unfortunately, these models share a weakness with their human counterparts: producing code that i…
Language Models are Better Bug Detector Through Code-Pair Classification
Kamel Alrashedy, Ahmed Binjahlan
Large language models (LLMs) such as GPT-3.5 and CodeLlama are powerful models for code generation and understanding. Fine-tuning these models comes with a high computational cost…
Learning Defect Prediction from Unrealistic Data
Kamel Alrashedy, Vincent J. Hellendoorn, Alessandro Orso
Pretrained models of code, such as CodeBERT and CodeT5, have become popular choices for code understanding and generation tasks. Such models tend to be large and require commensura…
How do Software Engineering Researchers Use GitHub? An Empirical Study of Artifacts & Impact
Kamel Alrashedy, Ahmed Binjahlan
Millions of developers share their code on open-source platforms like GitHub, which offer social coding opportunities such as distributed collaboration and popularity-based ranking…