activity
20222024
most citedIs Bigger and Deeper Always Better? Probing LLaMA Across Scales and Layers

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

Deep RAW Image Super-Resolution. A NTIRE 2024 Challenge Survey

Marcos V. Conde, Florin-Alexandru Vasluianu, Radu Timofte +32

This paper reviews the NTIRE 2024 RAW Image Super-Resolution Challenge, highlighting the proposed solutions and results. New methods for RAW Super-Resolution could be essential in…

cs.CV2024

Nucleus subtype classification using inter-modality learning

Lucas W. Remedios, Shunxing Bao, Samuel W. Remedios +14

Understanding the way cells communicate, co-locate, and interrelate is essential to understanding human physiology. Hematoxylin and eosin (H&E) staining is ubiquitously available b…

cs.CL20241 cited

Is Bigger and Deeper Always Better? Probing LLaMA Across Scales and Layers

Nuo Chen, Ning Wu, Shining Liang +4

This paper presents an in-depth analysis of Large Language Models (LLMs), focusing on LLaMA, a prominent open-source foundational model in natural language processing. Instead of a…

cs.CV2023

Cell Spatial Analysis in Crohn's Disease: Unveiling Local Cell Arrangement Pattern with Graph-based Signatures

Shunxing Bao, Sichen Zhu, Vasantha L Kolachala +16

Crohn's disease (CD) is a chronic and relapsing inflammatory condition that affects segments of the gastrointestinal tract. CD activity is determined by histological findings, part…

cs.CV2022

Cross-scale Attention Guided Multi-instance Learning for Crohn's Disease Diagnosis with Pathological Images

Ruining Deng, Can Cui, Lucas W. Remedios +12

Multi-instance learning (MIL) is widely used in the computer-aided interpretation of pathological Whole Slide Images (WSIs) to solve the lack of pixel-wise or patch-wise annotation…