3 papers
cs.CV2025
Aligned Contrastive Loss for Long-Tailed Recognition
Jiali Ma, Jiequan Cui, Maeno Kazuki +4
In this paper, we propose an Aligned Contrastive Learning (ACL) algorithm to address the long-tailed recognition problem. Our findings indicate that while multi-view training boost…
cs.SE2025
EduBot -- Can LLMs Solve Personalized Learning and Programming Assignments?
Yibin Wang, Jiaxi Xie, Lakshminarayanan Subramanian
The prevalence of Large Language Models (LLMs) is revolutionizing the process of writing code. General and code LLMs have shown impressive performance in generating standalone func…
cs.CL2024
Designing Informative Metrics for Few-Shot Example Selection
Rishabh Adiga, Lakshminarayanan Subramanian, Varun Chandrasekaran
Pretrained language models (PLMs) have shown remarkable few-shot learning capabilities when provided with properly formatted examples. However, selecting the "best" examples remain…