3 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.CV2025
Counting Hallucinations in Diffusion Models
Shuai Fu, Jian Zhou, Qi Chen +7
Diffusion probabilistic models (DPMs) have demonstrated remarkable progress in generative tasks, such as image and video synthesis. However, they still often produce hallucinated s…
cs.CL2024★ 1 cited
Weak-eval-Strong: Evaluating and Eliciting Lateral Thinking of LLMs with Situation Puzzles
Qi Chen, Bowen Zhang, Gang Wang +1
While advancements in NLP have significantly improved the performance of Large Language Models (LLMs) on tasks requiring vertical thinking, their lateral thinking capabilities rema…
cs.CV2024★ 3 cited
MMCLIP: Cross-modal Attention Masked Modelling for Medical Language-Image Pre-Training
Biao Wu, Yutong Xie, Zeyu Zhang +4
Vision-and-language pretraining (VLP) in the medical field utilizes contrastive learning on image-text pairs to achieve effective transfer across tasks. Yet, current VLP approaches…