5 papers
DOS: Dependency-Oriented Sampler for Masked Diffusion Language Models
Xueyu Zhou, Yangrong Hu, Jian Huang
Masked diffusion language models (MDLMs) have recently emerged as a new paradigm in language modeling, offering flexible generation dynamics and enabling efficient parallel decodin…
MatQnA: A Benchmark Dataset for Multi-modal Large Language Models in Materials Characterization and Analysis
Yonghao Weng, Liqiang Gao, Linwu Zhu +1
Recently, large language models (LLMs) have achieved remarkable breakthroughs in general domains such as programming and writing, and have demonstrated strong potential in various…
Fair Sufficient Representation Learning
Xueyu Zhou, Chun Yin IP, Jian Huang
The main objective of fair statistical modeling and machine learning is to minimize or eliminate biases that may arise from the data or the model itself, ensuring that predictions…
De Novo Functional Protein Sequence Generation: Overcoming Data Scarcity through Regeneration and Large Models
Chenyu Ren, Daihai He, Jian Huang
Proteins are essential components of all living organisms and play a critical role in cellular survival. They have a broad range of applications, from clinical treatments to materi…
Transfer Learning through Enhanced Sufficient Representation: Enriching Source Domain Knowledge with Target Data
Yeheng Ge, Xueyu Zhou, Jian Huang
Transfer learning is an important approach for addressing the challenges posed by limited data availability in various applications. It accomplishes this by transferring knowledge…