1 citations · 1 across the 3 of their papers we have counts for
7 papers
Parameter-Efficient Fine-Tuning of DINOv2 for Large-Scale Font Classification
Daniel Chen, Zaria Zinn, Marcus Lowe
We introduce GoogleFontsBench, the first public benchmark for classifying open-source web fonts, addressing a gap left by existing benchmarks that cover only commercial typefaces.…
Towards a Mechanistic Understanding of Propositional Logical Reasoning in Large Language Models
Danchun Chen, Qiyao Yan, Liangming Pan
Understanding how Large Language Models (LLMs) perform logical reasoning internally remains a fundamental challenge. While prior mechanistic studies focus on identifying taskspecif…
The (Short-Term) Effects of Large Language Models on Unemployment and Earnings
Danqing Chen, Carina Kane, Austin Kozlowski +2
Large Language Models have spread rapidly since the release of ChatGPT in late 2022, accompanied by claims of major productivity gains but also concerns about job displacement. Thi…
ConformalSAM: Unlocking the Potential of Foundational Segmentation Models in Semi-Supervised Semantic Segmentation with Conformal Prediction
Danhui Chen, Ziquan Liu, Chuxi Yang +4
Pixel-level vision tasks, such as semantic segmentation, require extensive and high-quality annotated data, which is costly to obtain. Semi-supervised semantic segmentation (SSSS)…
Language Models That Walk the Talk: A Framework for Formal Fairness Certificates
Danqing Chen, Tobias Ladner, Ahmed Rayen Mhadhbi +1
As large language models become integral to high-stakes applications, ensuring their robustness and fairness is critical. Despite their success, large language models remain vulner…
LayerTracer: Cognitive-Aligned Layered SVG Synthesis via Diffusion Transformer
Yiren Song, Danze Chen, Mike Zheng Shou
Generating cognitive-aligned layered SVGs remains challenging due to existing methods' tendencies toward either oversimplified single-layer outputs or optimization-induced shape re…