6 papers
Not Every Term Adds New Structure: Sobolev Novelty for Symbolic Regression
Boxiao Wang, Kai Li, Yuheng Jing +4
Symbolic regression (SR) aims to discover compact and meaningful mathematical equations from data, but searching the vast combinatorial space of symbolic structures remains challen…
Gene Expression-Informed Jointly Controlled Generative Modeling for Precision Molecular Design
Hang Yuan, Chen Li, Wenjun Ma +2
Precision molecular design aims to discover personalized drug candidates through joint control of multiple conditions, such as biological relevance and molecular design strategies.…
LLM-Based Scientific Equation Discovery via Physics-Informed Token-Regularized Policy Optimization
Boxiao Wang, Kai Li, Tianyi Liu +4
Symbolic regression aims to distill mathematical equations from observational data. Recent approaches have successfully leveraged Large Language Models (LLMs) to generate equation…
TextOmics-Guided Diffusion for Hit-like Molecular Generation
Hang Yuan, Chen Li, Wenjun Ma +1
Hit-like molecular generation with therapeutic potential is essential for target-specific drug discovery. However, the field lacks heterogeneous data and unified frameworks for int…
Hunyuan-TurboS: Advancing Large Language Models through Mamba-Transformer Synergy and Adaptive Chain-of-Thought
Tencent Hunyuan Team, Ao Liu, Botong Zhou +248
As Large Language Models (LLMs) rapidly advance, we introduce Hunyuan-TurboS, a novel large hybrid Transformer-Mamba Mixture of Experts (MoE) model. It synergistically combines Mam…
Strategic priorities for transformative progress in advancing biology with proteomics and artificial intelligence
Yingying Sun, Jun A, Zhiwei Liu +59
Artificial intelligence (AI) is transforming scientific research, including proteomics. Advances in mass spectrometry (MS)-based proteomics data quality, diversity, and scale, comb…