Diversify and Conquer: Diversity-Centric Data Selection with Iterative Refinementby Simon Yu, Liangyu Chen, Sara Ahmadian,…
Multi-OCT-SelfNet: Integrating Self-Supervised Learning with Multi-Source Data Fusion for Enhanced Multi-Class Retinal Disease Classificationby Fatema-E-…
Augmenting Automatic Speech Recognition Models with Disfluency Detectionby Robin Amann, Zhaolin Li, Barbara Bruno, Jan…
Confidence Estimation for LLM-Based Dialogue State Trackingby Yi-Jyun Sun, Suvodip Dey, Dilek Hakkani-Tur, Gokhan TurFirst…
Can Large Language Models Grasp Event Signals? Exploring Pure Zero-Shot Event-based Recognitionby Zongyou Yu, Qiang…
Towards Data Contamination Detection for Modern Large Language Models: Limitations, Inconsistencies, and Oracle Challengesby Vinay…
Efficient Fine-Tuning of Large Language Models for Automated Medical Documentationby Hui Yi Leong, Yi Fan…
Advancing Depth Anything Model for Unsupervised Monocular Depth Estimation in Endoscopyby Bojian Li, Bo Liu,…
Leveraging Unstructured Text Data for Federated Instruction Tuning of Large Language Modelsby Rui Ye, Rui…
Beyond IID: Optimizing Instruction Learning from the Perspective of Instruction Interaction and Dependencyby Hanyu Zhao,…