Scholar

Sanghwan Kim

Google Scholar ID: XkqHJfYAAAAJ

Technical University of Munich, Helmholtz Munich

machine learning and deep learning

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Citations & Impact

All-time

Citations

139

H-index

6

i10-index

3

Publications

8

Co-authors

0

Contact

No contact links provided.

Publications

5 items

When Sinks Help or Hurt: Unified Framework for Attention Sink in Large Vision-Language Models

2026

Cited

0

FINER: MLLMs Hallucinate under Fine-grained Negative Queries

2026

Cited

0

From Drop-off to Recovery: A Mechanistic Analysis of Segmentation in MLLMs

2026

Cited

0

Training-free Uncertainty Guidance for Complex Visual Tasks with MLLMs

2025

Cited

0

COSMOS: Cross-Modality Self-Distillation for Vision Language Pre-training

arXiv.org · 2024

Cited

0

Resume (English only)

Co-authors

0 total

Co-authors: 0 (list not available)