3 papers
cs.LG2025
Reasoning in Diffusion Large Language Models is Concentrated in Dynamic Confusion Zones
Ranfei Chen, Ming Chen, Kaifei Wang
Diffusion Large Language Models (dLLMs) are rapidly emerging alongside autoregressive models as a powerful paradigm for complex reasoning, with reinforcement learning increasingly…
cs.LG2025
DSFT: Inspiring Diffusion Large Language Models to Comprehend Mathematical and Logical Patterns
Ranfei Chen, Ming Chen
Diffusion large language models (dLLMs) have emerged as a new architecture following auto regressive models. Their denoising process offers a powerful generative advantage, but the…
cs.LG2025
pUniFind: a unified large pre-trained deep learning model pushing the limit of mass spectra interpretation
Jiale Zhao, Pengzhi Mao, Kaifei Wang +12
Deep learning has advanced mass spectrometry data interpretation, yet most models remain feature extractors rather than unified scoring frameworks. We present pUniFind, the first l…