activity
20152025
most citedDPA-2: a large atomic model as a multi-task learner

132 citations · 279 across the 9 of their papers we have counts for

collaborators

8 papers

cs.CL2025

Winning the Pruning Gamble: A Unified Approach to Joint Sample and Token Pruning for Efficient Supervised Fine-Tuning

Shaobo Wang, Jiaming Wang, Jiajun Zhang +9

As supervised fine-tuning (SFT) evolves from a lightweight post-training step into a compute-intensive phase rivaling mid-training in scale, data efficiency has become critical for…

cs.CL2025

The Devil behind the mask: An emergent safety vulnerability of Diffusion LLMs

Zichen Wen, Jiashu Qu, Zhaorun Chen +13

Diffusion-based large language models (dLLMs) have recently emerged as a powerful alternative to autoregressive LLMs, offering faster inference and greater interactivity via parall…

cs.CL2025

Accelerating Diffusion Large Language Models with SlowFast Sampling: The Three Golden Principles

Qingyan Wei, Yaojie Zhang, Zhiyuan Liu +5

Diffusion-based language models (dLLMs) have emerged as a promising alternative to traditional autoregressive LLMs by enabling parallel token generation and significantly reducing…

cs.LG2025

dLLM-Cache: Accelerating Diffusion Large Language Models with Adaptive Caching

Zhiyuan Liu, Yicun Yang, Yaojie Zhang +6

Autoregressive Models (ARMs) have long dominated the landscape of Large Language Models. Recently, a new paradigm has emerged in the form of diffusion-based Large Language Models (…

cs.CL2025

Shifting AI Efficiency From Model-Centric to Data-Centric Compression

Xuyang Liu, Zichen Wen, Shaobo Wang +14

The advancement of large language models (LLMs) and multi-modal LLMs (MLLMs) has historically relied on scaling model parameters. However, as hardware limits constrain further mode…

physics.chem-ph2023★ 132 cited

DPA-2: a large atomic model as a multi-task learner

Duo Zhang, Xinzijian Liu, Xiangyu Zhang +40

The rapid advancements in artificial intelligence (AI) are catalyzing transformative changes in atomic modeling, simulation, and design. AI-driven potential energy models have demo…

physics.chem-ph2020★ 4 cited

Isotope effects on molecular structures and electronic properties of liquid water via deep potential molecular dynamics based on SCAN functional

Jianhang Xu, Chunyi Zhang, Linfeng Zhang +3

Feynman path-integral deep potential molecular dynamics (PI-DPMD) calculations have been employed to study both light (HO) and heavy water (DO) within the isothermal-isobar…

nucl-th2015★ 11 cited

Global -decay study based on the mass table of the relativistic continuum Hartree-Bogoliubov theory

Linfeng Zhang, Xuewei Xia

The -decay energies () are systematically investigated with the nuclear masses for isotopes obtained by the relativistic continuum Hartree-Bogoliubov (…