activity
20212026
most citedCheXtransfer: Performance and Parameter Efficiency of ImageNet Models for Chest X-Ray Interpretation

85 citations · 104 across the 5 of their papers we have counts for

collaborators

5 papers

physics.geo-ph2026

Enhanced Seismicity Monitoring in the Rapid Scientific Response to the 2025 Santorini Crisis

Margarita Segou, Foteini Dervisi, Xing Tan +20

We used a deep learning workflow to enhance earthquake detection during the 2025 seismic unrest between Santorini and Amorgos islands to track the evolution of the crisis in near r…

cs.CL2026★ 18 cited

OpenAI GPT-5 System Card

Aaditya Singh, Adam Fry, Adam Perelman +483

This is the system card published alongside the OpenAI GPT-5 launch, August 2025. GPT-5 is a unified system with a smart and fast model that answers most questions, a deeper reason…

cs.LG2025

Generative Data Refinement: Just Ask for Better Data

Minqi Jiang, João G. M. Araújo, Will Ellsworth +2

For a fixed parameter size, the capabilities of large models are primarily determined by the quality and quantity of its training data. Consequently, training datasets now grow fas…

cs.LG2024★ 1 cited

Offline Regularised Reinforcement Learning for Large Language Models Alignment

Pierre Harvey Richemond, Yunhao Tang, Daniel Guo +15

The dominant framework for alignment of large language models (LLM), whether through reinforcement learning from human feedback or direct preference optimisation, is to learn from…

cs.CV2021★ 85 cited

CheXtransfer: Performance and Parameter Efficiency of ImageNet Models for Chest X-Ray Interpretation

Alexander Ke, William Ellsworth, Oishi Banerjee +2

Deep learning methods for chest X-ray interpretation typically rely on pretrained models developed for ImageNet. This paradigm assumes that better ImageNet architectures perform be…