Cover Image

Neural Force Field: Few-shot Learning of Generalized Physical Reasoning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Shiqian, Shen, Ruihong, Tao, Yaoyu, Zhang, Chi, Zhu, Yixin
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learning Physics-Grounded 4D Dynamics with Neural Gaussian Force Fields
by: Li, Shiqian, et al.
Published: (2026)

I-PHYRE: Interactive Physical Reasoning
by: Li, Shiqian, et al.
Published: (2023)

Overhang Tower: Resource-Rational Adaptation in Sequential Physical Planning
by: Shen, Ruihong, et al.
Published: (2026)

Episodic-free Task Selection for Few-shot Learning
by: Zhang, Tao
Published: (2024)

Self-cross Feature based Spiking Neural Networks for Efficient Few-shot Learning
by: Xu, Qi, et al.
Published: (2025)

Few-shot Class-incremental Fault Diagnosis by Preserving Class-Agnostic Knowledge with Dual-Granularity Representations
by: Yang, Zhendong, et al.
Published: (2025)

Towards Few-shot Self-explaining Graph Neural Networks
by: Peng, Jingyu, et al.
Published: (2024)

Lightweight Geometric Adaptation for Training Physics-Informed Neural Networks
by: An, Kang, et al.
Published: (2026)

Few-shot Class-incremental Learning for Classification and Object Detection: A Survey
by: Zhang, Jinghua, et al.
Published: (2023)

A Lightweight Learned Cardinality Estimation Model
by: Zhu, Yaoyu, et al.
Published: (2025)

Improving Graph Few-shot Learning with Hyperbolic Space and Denoising Diffusion
by: Liu, Yonghao, et al.
Published: (2026)

Few-shot Steerable Alignment: Adapting Rewards and LLM Policies with Neural Processes
by: Kobalczyk, Katarzyna, et al.
Published: (2024)

Prompt Tuning with Diffusion for Few-Shot Pre-trained Policy Generalization
by: Hu, Shengchao, et al.
Published: (2024)

ICPL: Few-shot In-context Preference Learning via LLMs
by: Yu, Chao, et al.
Published: (2024)

SARF: Aliasing Relation Assisted Self-Supervised Learning for Few-shot Relation Reasoning
by: Meng, Lingyuan, et al.
Published: (2023)

An Enhanced Privacy-preserving Federated Few-shot Learning Framework for Respiratory Disease Diagnosis
by: Wang, Ming, et al.
Published: (2025)

GEM: Generative Entropy-Guided Preference Modeling for Few-shot Alignment of LLMs
by: Zhao, Yiyang, et al.
Published: (2025)

GFRIEND: Generative Few-shot Reward Inference through EfficieNt DPO
by: Zhao, Yiyang, et al.
Published: (2025)

Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution
by: Song, Wenhao, et al.
Published: (2025)

Diagnosing Spectral Ceilings in Equivariant Neural Force Fields
by: Kim, Hyunmog
Published: (2026)

Revisiting Chain-of-Thought Prompting: Zero-shot Can Be Stronger than Few-shot
by: Cheng, Xiang, et al.
Published: (2025)

Large Language Models are Few-shot Multivariate Time Series Classifiers
by: Chen, Yakun, et al.
Published: (2025)

Opening the Black Box: An Explainable, Few-shot AI4E Framework Informed by Physics and Expert Knowledge for Materials Engineering
by: Zhang, Haoxiang, et al.
Published: (2025)

Kron-LoRA: Hybrid Kronecker-LoRA Adapters for Scalable, Sustainable Fine-tuning
by: Shen, Yixin
Published: (2025)

Few-shot Cross-country Generalization of Tabular Machine Learning and Foundation Models for Childhood Anemia Prediction under Distribution Shift
by: Brima, Yusuf, et al.
Published: (2026)

A Foundation Model for Zero-shot Logical Query Reasoning
by: Galkin, Mikhail, et al.
Published: (2024)

Temporal Spiking Neural Networks with Synaptic Delay for Graph Reasoning
by: Xiao, Mingqing, et al.
Published: (2024)

See it, Think it, Sorted: Large Multimodal Models are Few-shot Time Series Anomaly Analyzers
by: Zhuang, Jiaxin, et al.
Published: (2024)

Physics-informed Attention-enhanced Fourier Neural Operator for Solar Magnetic Field Extrapolations
by: Cao, Jinghao, et al.
Published: (2025)

LAMPO: Large Language Models as Preference Machines for Few-shot Ordinal Classification
by: Qin, Zhen, et al.
Published: (2024)

Large Language Models Meet Graph Neural Networks for Text-Numeric Graph Reasoning
by: Song, Haoran, et al.
Published: (2025)

Dynamic User-controllable Privacy-preserving Few-shot Sensing Framework
by: Chathoth, Ajesh Koyatan, et al.
Published: (2025)

TransNet: Transfer Knowledge for Few-shot Knowledge Graph Completion
by: Liu, Lihui, et al.
Published: (2025)

Training-free LLM Verification via Recycling Few-shot Examples
by: Lee, Dongseok, et al.
Published: (2025)

A Survey of Few-Shot Learning for Biomedical Time Series
by: Li, Chenqi, et al.
Published: (2024)

Synthetic Forgetting without Access: A Few-shot Zero-glance Framework for Machine Unlearning
by: Song, Qipeng, et al.
Published: (2025)

AnomalyLLM: Few-shot Anomaly Edge Detection for Dynamic Graphs using Large Language Models
by: Liu, Shuo, et al.
Published: (2024)

AnomalyGFM: Graph Foundation Model for Zero/Few-shot Anomaly Detection
by: Qiao, Hezhe, et al.
Published: (2025)

Frequency Enhanced Pre-training for Cross-city Few-shot Traffic Forecasting
by: Liu, Zhanyu, et al.
Published: (2024)

Hierarchical Local-Global Feature Learning for Few-shot Malicious Traffic Detection
by: Peng, Songtao, et al.
Published: (2025)