output
20222026
most citedAI can evolve without labels: self-evolving vision transformer for chest X-ray diagnosis through knowledge distillation

79 citations

8 papers

cs.CL2026

Bridging the Missing-Modality Gap: Improving Text-Only Calibration of Vision Language Models

Mingyeong Kim, Jungwon Choi, Chaeyun Jang +1

Vision-language models (VLMs) are often deployed on text-only inputs, although they are trained with images. We find that removing the vision modality causes large drops in accurac…

cs.SI2025★ 4 cited

Attributed Hypergraph Generation with Realistic Interplay Between Structure and Attributes

Jaewan Chun, Seokbum Yoon, Minyoung Choe +2

In many real-world scenarios, interactions happen in a group-wise manner with multiple entities, and therefore, hypergraphs are a suitable tool to accurately represent such interac…

cond-mat.mes-hall2025★ 5 cited

Quantifying the creation of negatively charged boron vacancies in He-ion irradiated hexagonal boron nitride

Amedeo Carbone, Ilia D. Breev, Johannes Figueiredo +10

Hexagonal boron nitride (hBN) hosts luminescent defects possessing spin qualities compatible with quantum sensing protocols at room temperature. Vacancies, in particular, are readi…

cs.CL2024★ 5 cited

Bayesian Multi-Task Transfer Learning for Soft Prompt Tuning

Haeju Lee, Minchan Jeong, Se-Young Yun +1

Prompt tuning, in which prompts are optimized to adapt large-scale pre-trained language models to downstream tasks instead of fine-tuning the full model parameters, has been shown…

cs.SI2023★ 5 cited

Interplay between Topology and Edge Weights in Real-World Graphs: Concepts, Patterns, and an Algorithm

Fanchen Bu, Shinhwan Kang, Kijung Shin

What are the relations between the edge weights and the topology in real-world graphs? Given only the topology of a graph, how can we assign realistic weights to its edges based on…

cs.LG2023

Flooding with Absorption: An Efficient Protocol for Heterogeneous Bandits over Complex Networks

Junghyun Lee, Laura Schmid, Se-Young Yun

Multi-armed bandits are extensively used to model sequential decision-making, making them ubiquitous in many real-life applications such as online recommender systems and wireless…