98 citations
- University of DelawareUS12 papers
- Chinese Academy of SciencesCN4 papers
- University of Arkansas at FayettevilleUS4 papers
- Shenyang Institute of AutomationCN3 papers
- Hanoi National University of EducationVN2 papers
- Iowa State UniversityUS2 papers
- Jilin UniversityCN2 papers
- Purdue University NorthwestUS2 papers
- The Ohio State UniversityUS2 papers
- University of Minnesota, DuluthUS2 papers
- University of PittsburghUS2 papers
- VNU University of EducationVN2 papers
52 papers
Distilled Rapid Embedding Transfer (DRET): Parameter-Efficient Biomedical Domain Adaptation via Priority-Based Embedding Transfer
Girish Sundaram, Daniel Berleant
Large domain-specific language models such as BioBERT and ClinicalBERT achieve strong performance on biomedical NLP tasks, but their computational demands make them impractical for…
Reimagining Peer Review Process Through Multi-Agent Mechanism Design
Ahmad Farooq, Kamran Iqbal
The software engineering research community faces a systemic crisis: peer review is failing under growing submissions, misaligned incentives, and reviewer fatigue. Community survey…
Trend Extrapolation for Technology Forecasting: Leveraging LSTM Neural Networks for Trend Analysis of Space Exploration Vessels
Peng-Hung Tsai, Daniel Berleant
Forecasting technological advancement in complex domains such as space exploration presents significant challenges due to the intricate interaction of technical, economic, and poli…
Integrating Vision Foundation Models with Reinforcement Learning for Enhanced Object Interaction
Ahmad Farooq, Kamran Iqbal
This paper presents a novel approach that integrates vision foundation models with reinforcement learning to enhance object interaction capabilities in simulated environments. By c…
A Survey of Reinforcement Learning for Optimization in Automation
Ahmad Farooq, Kamran Iqbal
Reinforcement Learning (RL) has become a critical tool for optimization challenges within automation, leading to significant advancements in several areas. This review article exam…
Abstractive Text Summarization: State of the Art, Challenges, and Improvements
Hassan Shakil, Ahmad Farooq, Jugal Kalita
Specifically focusing on the landscape of abstractive text summarization, as opposed to extractive techniques, this survey presents a comprehensive overview, delving into state-of-…