5 papers
BeyondFacial: Identity-Preserving Personalized Generation Beyond Facial Close-ups
Songsong Zhang, Chuanqi Tang, Hongguang Zhang +7
Identity-Preserving Personalized Generation (IPPG) has advanced film production and artistic creation, yet existing approaches overemphasize facial regions, resulting in outputs do…
ZSPAPrune: Zero-Shot Prompt-Aware Token Pruning for Vision-Language Models
Pu Zhang, Yuwei Li, Xingyuan Xian +1
As the capabilities of Vision-Language Models (VLMs) advance, they can process increasingly large inputs, which, unlike in LLMs, generates significant visual token redundancy and l…
Characterizing Model Behavior Under Synthetic Data Training: An Empirical Study Across Scales and Mixing Ratios
Y. Du, G. Wu, G. Tang +2
Synthetic data generated by large language models has become integral to modern NLP training pipelines, from bootstrapping reasoning capabilities to augmenting instruction-followin…
Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow
Y. Du, C. Guo, W. Wang +1
Large Language Models (LLMs) face a fundamental challenge in deciding when to rely on rapid, intuitive responses versus engaging in slower, more deliberate reasoning. Inspired by D…
Cognitive Load and Information Processing in Financial Markets: Theory and Evidence from Disclosure Complexity
Yimin Du, Guolin Tang
Cognitive-load research in financial markets generally treats disclosure complexity as a property of the document and information acquisition as a direct interaction between an inv…