:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Chen, Tianyu, Zhou, Haoyi, Li, Ying, Wang, Hao, Gao, Chonghan, Shi, Rongye, Zhang, Shanghang, Li, Jianxin
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning Artificial Intelligence
Acceso en línea:	https://arxiv.org/abs/2402.16014
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Towards Long-window Anchoring in Vision-Language Model Distillation
por: Zhou, Haoyi, et al.
Publicado: (2025)

TaxDistill: Improving Metagenomic Taxonomic Annotation via Distilled Genomic Foundation Models
por: Ye, Rongye, et al.
Publicado: (2026)

Galaxy Walker: Geometry-aware VLMs For Galaxy-scale Understanding
por: Chen, Tianyu, et al.
Publicado: (2025)

FreqMoE: Dynamic Frequency Enhancement for Neural PDE Solvers
por: Chen, Tianyu, et al.
Publicado: (2025)

Instructing the Architecture Search for Spatial-temporal Sequence Forecasting with LLM
por: Xue, Xin, et al.
Publicado: (2025)

Decoupled and Divergence-Conditioned Prompt for Multi-domain Dynamic Graph Foundation Models
por: Yuan, Haonan, et al.
Publicado: (2026)

FRoD: Full-Rank Efficient Fine-Tuning with Rotational Degrees for Fast Convergence
por: Wan, Guoan, et al.
Publicado: (2025)

PINNsAgent: Automated PDE Surrogation with Large Language Models
por: Wuwu, Qingpo, et al.
Publicado: (2025)

MathSE: Improving Multimodal Mathematical Reasoning via Self-Evolving Iterative Reflection and Reward-Guided Fine-Tuning
por: Chen, Jinhao, et al.
Publicado: (2025)

Heterogeneous Scientific Foundation Model Collaboration
por: Li, Zihao, et al.
Publicado: (2026)

Data-Centric Foundation Models in Computational Healthcare: A Survey
por: Zhang, Yunkun, et al.
Publicado: (2024)

Omni-DNA: A Unified Genomic Foundation Model for Cross-Modal and Multi-Task Learning
por: Li, Zehui, et al.
Publicado: (2025)

RAG-GFM: Overcoming In-Memory Bottlenecks in Graph Foundation Models via Retrieval-Augmented Generation
por: Yuan, Haonan, et al.
Publicado: (2026)

OmniCellTOSG: The First Cell Text-Omic Signaling Graphs Dataset for Graph Language Foundation Modeling
por: Zhang, Heming, et al.
Publicado: (2025)

HyperCore: The Core Framework for Building Hyperbolic Foundation Models with Comprehensive Modules
por: He, Neil, et al.
Publicado: (2025)

OmniTabBench: Mapping the Empirical Frontiers of GBDTs, Neural Networks, and Foundation Models for Tabular Data at Scale
por: Jiang, Dihong, et al.
Publicado: (2026)

Event Fields: Learning Latent Event Structure for Waveform Foundation Models
por: Na, Li, et al.
Publicado: (2026)

ESP: Exploiting Symmetry Prior for Multi-Agent Reinforcement Learning
por: Yu, Xin, et al.
Publicado: (2023)

Foundation Models for Scientific Discovery: From Paradigm Enhancement to Paradigm Transition
por: Liu, Fan, et al.
Publicado: (2025)

Integrating Weather Foundation Model and Satellite to Enable Fine-Grained Solar Irradiance Forecasting
por: Ma, Ziqing, et al.
Publicado: (2026)

Omni-Thinker: Scaling Multi-Task RL in LLMs with Hybrid Reward and Task Scheduling
por: Li, Derek, et al.
Publicado: (2025)

VLMgineer: Vision Language Models as Robotic Toolsmiths
por: Gao, George Jiayuan, et al.
Publicado: (2025)

A Wireless Foundation Model for Multi-Task Prediction
por: Sheng, Yucheng, et al.
Publicado: (2025)

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

Configurable Foundation Models: Building LLMs from a Modular Perspective
por: Xiao, Chaojun, et al.
Publicado: (2024)

PFMBench: Protein Foundation Model Benchmark
por: Gao, Zhangyang, et al.
Publicado: (2025)

A Multimodal Foundation Model to Enhance Generalizability and Data Efficiency for Pan-cancer Prognosis Prediction
por: Zhou, Huajun, et al.
Publicado: (2025)

QuArch: A Question-Answering Dataset for AI Agents in Computer Architecture
por: Prakash, Shvetank, et al.
Publicado: (2025)

PhoGAD: Graph-based Anomaly Behavior Detection with Persistent Homology Optimization
por: Yuan, Ziqi, et al.
Publicado: (2024)

Toward a Unified Geometry Understanding: Riemannian Diffusion Framework for Graph Generation and Prediction
por: Gao, Yisen, et al.
Publicado: (2025)

OmniPred: Language Models as Universal Regressors
por: Song, Xingyou, et al.
Publicado: (2024)

Are Expressive Models Truly Necessary for Offline RL?
por: Wang, Guan, et al.
Publicado: (2024)

DeltaEvolve: Accelerating Scientific Discovery through Momentum-Driven Evolution
por: Jiang, Jiachen, et al.
Publicado: (2026)

DeepSeek vs. ChatGPT vs. Claude: A Comparative Study for Scientific Computing and Scientific Machine Learning Tasks
por: Jiang, Qile, et al.
Publicado: (2025)

OmniSapiens: A Foundation Model for Social Behavior Processing via Heterogeneity-Aware Relative Policy Optimization
por: Ong, Keane, et al.
Publicado: (2026)

LABSHIELD: A Multimodal Benchmark for Safety-Critical Reasoning and Planning in Scientific Laboratories
por: Sun, Qianpu, et al.
Publicado: (2026)

AR-Omni: A Unified Autoregressive Model for Any-to-Any Generation
por: Cheng, Dongjie, et al.
Publicado: (2026)

From Text to Trajectory: Exploring Complex Constraint Representation and Decomposition in Safe Reinforcement Learning
por: Dong, Pusen, et al.
Publicado: (2024)

QuArch: A Benchmark for Evaluating LLM Reasoning in Computer Architecture
por: Prakash, Shvetank, et al.
Publicado: (2025)

Uni-NTFM: A Unified Foundation Model for EEG Signal Representation Learning
por: Chen, Zhisheng, et al.
Publicado: (2025)