1 citations · 1 across the 3 of their papers we have counts for
3 papers
SAM2LoRA: Composite Loss-Guided, Parameter-Efficient Finetuning of SAM2 for Retinal Fundus Segmentation
Sayan Mandal, Divyadarshini Karthikeyan, Manas Paldhe
We propose SAM2LoRA, a parameter-efficient fine-tuning strategy that adapts the Segment Anything Model 2 (SAM2) for fundus image segmentation. SAM2 employs a masked autoencoder-pre…
LingVarBench: Benchmarking LLMs on Entity Recognitions and Linguistic Verbalization Patterns in Phone-Call Transcripts
Seyedali Mohammadi, Manas Paldhe, Amit Chhabra +2
We study structured entity extraction from phone-call transcripts in customer-support and healthcare settings, where annotation is costly, and data access is limited by privacy and…
Graph Integrated Language Transformers for Next Action Prediction in Complex Phone Calls
Amin Hosseiny Marani, Ulie Schnaithmann, Youngseo Son +3
Current Conversational AI systems employ different machine learning pipelines, as well as external knowledge sources and business logic to predict the next action. Maintaining vari…