5 papers · 1 filter
Draw2Think: Harnessing Geometry Reasoning through Constraint Engine Interaction
Juncheng Hu, Jiawei Du, Xin Zhang +1
Vision-language models solve geometry problems with rising accuracy, yet their intermediate states remain latent and unverifiable: a relation expressed in textual reasoning or draw…
On the development of an AI performance and behavioural measures for teaching and classroom management
Andreea I. Niculescu, Jochen Ehnes, Chen Yi +9
This paper presents a two-year research project focused on developing AI-driven measures to analyze classroom dynamics, with particular emphasis on teacher actions captured through…
The Evolution of Dataset Distillation: Toward Scalable and Generalizable Solutions
Ping Liu, Jiawei Du
Dataset distillation, which condenses large-scale datasets into compact synthetic representations, has emerged as a critical solution for training modern deep learning models effic…
Breaking Class Barriers: Efficient Dataset Distillation via Inter-Class Feature Compensator
Xin Zhang, Jiawei Du, Ping Liu +1
Dataset distillation has emerged as a technique aiming to condense informative features from large, natural datasets into a compact and synthetic form. While recent advancements ha…
DD-RobustBench: An Adversarial Robustness Benchmark for Dataset Distillation
Yifan Wu, Jiawei Du, Ping Liu +3
Dataset distillation is an advanced technique aimed at compressing datasets into significantly smaller counterparts, while preserving formidable training performance. Significant e…