Cover Image

Multi-Task Fine-Tuning Enables Robust Out-of-Distribution Generalization in Atomistic Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Chengqian, Zhang, Duo, Peng, Anyang, Guo, Mingyu, Zhang, Yuzhi, Wang, Lei, Ke, Guolin, Zhang, Linfeng, Li, Tiejun, Wang, Han
Format:	Preprint
Published:	2026
Subjects:	Computational Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

LAMBench: A Benchmark for Large Atomistic Models
by: Peng, Anyang, et al.
Published: (2025)

A Graph Neural Network for the Era of Large Atomistic Models
by: Zhang, Duo, et al.
Published: (2025)

Scaling Machine Learning Interatomic Potentials with Mixtures of Experts
by: Liu, Yuzhi, et al.
Published: (2026)

CrystalREPA: Transferring Physical Priors from Universal MLIPs to Crystal Generative Models
by: Zhang, Chengqian, et al.
Published: (2026)

DPA4: Pushing the Accuracy-Cost Frontier of Interatomic Potentials with EMFA SO(2) Convolution
by: Li, Tiancheng, et al.
Published: (2026)

The OpenLAM Challenges
by: Peng, Anyang, et al.
Published: (2025)

Hybrid-LoRA: Bridging Full Fine-Tuning and Low-Rank Adaptation for Post-Training
by: Zhang, Chengqian, et al.
Published: (2026)

OmniScience: A Large-scale Multi-modal Dataset for Scientific Image Understanding
by: Tao, Haoyi, et al.
Published: (2026)

Multi-Task Dense Prediction Fine-Tuning with Mixture of Fine-Grained Experts
by: Xu, Yangyang, et al.
Published: (2025)

What to Ignore, What to React: Visually Robust RL Fine-Tuning of VLA Models
by: Peng, Yuanfang, et al.
Published: (2026)

Machine-Learning-Based Interatomic Potentials for Group IIB to VIA Semiconductors: Towards a Universal Model
by: Liu, Jianchuan, et al.
Published: (2023)

The Risk of Federated Learning to Skew Fine-Tuning Features and Underperform Out-of-Distribution Robustness
by: Du, Mengyao, et al.
Published: (2024)

Learning from Heterogeneity: Generalizing Dynamic Facial Expression Recognition via Distributionally Robust Optimization
by: Cui, Feng-Qi, et al.
Published: (2025)

Atomistic modelling of all dislocations and twins in HCP and BCC Ti
by: Wen, Tongqi, et al.
Published: (2022)

Every Subtlety Counts: Fine-grained Person Independence Micro-Action Recognition via Distributionally Robust Optimization
by: Cui, Feng-Qi, et al.
Published: (2025)

Draft-Refine-Optimize: Self-Evolved Learning for Natural Language to MongoDB Query Generation
by: Ye, Mingwei, et al.
Published: (2026)

On the Suitability of Reinforcement Fine-Tuning to Visual Tasks
by: Chen, Xiaxu, et al.
Published: (2025)

SAFT: Towards Out-of-Distribution Generalization in Fine-Tuning
by: Nguyen, Bac, et al.
Published: (2024)

CaSNet: Compress-and-Send Network Based Multi-Device Speech Enhancement Model for Distributed Microphone Arrays
by: Jiang, Chengqian, et al.
Published: (2026)

DFabric: Scaling Out Data Parallel Applications with CXL-Ethernet Hybrid Interconnects
by: Zhang, Xu, et al.
Published: (2024)

AnyTaskTune: Advanced Domain-Specific Solutions through Task-Fine-Tuning
by: Cui, Jiaxi, et al.
Published: (2024)

A Survey on Evaluation of Out-of-Distribution Generalization
by: Yu, Han, et al.
Published: (2024)

Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning
by: Wang, Shaobo, et al.
Published: (2025)

Knowledge Regularized Negative Feature Tuning of Vision-Language Models for Out-of-Distribution Detection
by: Zhu, Wenjie, et al.
Published: (2025)

Steering Out-of-Distribution Generalization with Concept Ablation Fine-Tuning
by: Casademunt, Helena, et al.
Published: (2025)

A Pre-trained Deep Potential Model for Sulfide Solid Electrolytes with Broad Coverage and High Accuracy
by: Wang, Ruoyu, et al.
Published: (2024)

An Extendable Cloud-Native Alloy Property Explorer
by: Li, Zhuoyuan, et al.
Published: (2024)

Kinetics‐Matched Electrode Design for Zn‐Metal Free Zinc Ion Batteries with High Energy Density and Stabilities
by: Jiahe Zhang, et al.
Published: (2024)

Empowering LLMs in Task-Oriented Dialogues: A Domain-Independent Multi-Agent Framework and Fine-Tuning Strategy
by: Feng, Zihao, et al.
Published: (2025)

UniForm: A Unified Multi-Task Diffusion Transformer for Audio-Video Generation
by: Zhao, Lei, et al.
Published: (2025)

Uni-Mol2: Exploring Molecular Pretraining Model at Scale
by: Ji, Xiaohong, et al.
Published: (2024)

Beyond Adam: Disentangling Optimizer Effects in the Fine-Tuning of Atomistic Foundation Models
by: Liu, Xiaoqing, et al.
Published: (2025)

Global Intervention and Distillation for Federated Out-of-Distribution Generalization
by: Qi, Zhuang, et al.
Published: (2025)

MuxTune: Efficient Multi-Task LLM Fine-Tuning in Multi-Tenant Datacenters via Spatial-Temporal Backbone Multiplexing
by: Xue, Chunyu, et al.
Published: (2026)

MARFT: Multi-Agent Reinforcement Fine-Tuning
by: Liao, Junwei, et al.
Published: (2025)

Higher-Order Boundary Conditions for Atomistic Dislocation Simulations
by: Wei, Xinyi, et al.
Published: (2025)

EPA: Neural Collapse Inspired Robust Out-of-Distribution Detector
by: Zhang, Jiawei, et al.
Published: (2024)

Confounder-Aware Medical Data Selection for Fine-Tuning Pretrained Vision Models
by: Ji, Anyang, et al.
Published: (2025)

Scaling Pretrained Representations Enables Label-Free Out-of-Distribution Detection Without Fine-Tuning
by: Barkley, Brett, et al.
Published: (2026)

Uni-Mol3: A Multi-Molecular Foundation Model for Advancing Organic Reaction Modeling
by: Wu, Lirong, et al.
Published: (2025)