6 citations · 9 across the 3 of their papers we have counts for
3 papers
cs.CV2024★ 1 cited
ConceptMix: A Compositional Image Generation Benchmark with Controllable Difficulty
Xindi Wu, Dingli Yu, Yangsibo Huang +2
Compositionality is a critical capability in Text-to-Image (T2I) models, as it reflects their ability to understand and combine multiple concepts from text descriptions. Existing e…
cs.CL2023★ 6 cited
Skill-Mix: a Flexible and Expandable Family of Evaluations for AI models
Dingli Yu, Simran Kaur, Arushi Gupta +3
With LLMs shifting their role from statistical modeling of language to serving as general-purpose AI agents, how should LLM evaluations change? Arguably, a key ability of an AI age…
cs.NE2023★ 2 cited
Tensor Programs VI: Feature Learning in Infinite-Depth Neural Networks
Greg Yang, Dingli Yu, Chen Zhu +1
By classifying infinite-width neural networks and identifying the *optimal* limit, Tensor Programs IV and V demonstrated a universal way, called P, for *widthwise hyperparameter…