Image de couverture de livre

Collaborative Evolving Strategy for Automatic Data-Centric Development

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Yang, Xu, Chen, Haotian, Feng, Wenjun, Wang, Haoxue, Ye, Zeqi, Shen, Xinjie, Yang, Xiao, Sun, Shizhao, Liu, Weiqing, Bian, Jiang
Format:	Preprint
Publié:	2024
Sujets:	Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Towards Data-Centric Automatic R&D
par: Chen, Haotian, et autres
Publié: (2024)

BPQP: A Differentiable Convex Optimization Framework for Efficient End-to-End Learning
par: Pan, Jianming, et autres
Publié: (2024)

R&D-Agent-Quant: A Multi-Agent Framework for Data-Centric Factors and Model Joint Optimization
par: Li, Yuante, et autres
Publié: (2025)

CAD-Editor: A Locate-then-Infill Framework with Automated Training Data Synthesis for Text-Based CAD Editing
par: Yuan, Yu, et autres
Publié: (2025)

From Elements to Design: A Layered Approach for Automatic Graphic Design Composition
par: Lin, Jiawei, et autres
Publié: (2024)

SceneReVis: A Self-Reflective Vision-Grounded Framework for 3D Indoor Scene Synthesis via Multi-turn RL
par: Zhao, Yang, et autres
Publié: (2026)

Text-to-CAD Generation Through Infusing Visual Feedback in Large Language Models
par: Wang, Ruiyu, et autres
Publié: (2025)

CAD-Tokenizer: Towards Text-based CAD Prototyping via Modality-Specific Tokenization
par: Wang, Ruiyu, et autres
Publié: (2025)

CADMorph: Geometry-Driven Parametric CAD Editing via a Plan-Generate-Verify Loop
par: Ma, Weijian, et autres
Publié: (2025)

Orchestrating Spatial Semantics via a Zone-Graph Paradigm for Intricate Indoor Scene Generation
par: Zhang, Meisheng, et autres
Publié: (2026)

The non-relativistic expansion of Dirac-Coulomb energy and the non-retarded Breit interaction correction up to $α^8$order
par: Zhou, Wanping, et autres
Publié: (2024)

FT-Dojo: Towards Autonomous LLM Fine-Tuning with Language Agents
par: Li, Qizheng, et autres
Publié: (2026)

From Data-Centric to Sample-Centric: Enhancing LLM Reasoning via Progressive Optimization
par: Chen, Xinjie, et autres
Publié: (2025)

Data-Efficient Training by Evolved Sampling
par: Cheng, Ziheng, et autres
Publié: (2025)

Deep Self-Evolving Reasoning
par: Liu, Zihan, et autres
Publié: (2025)

AnalogXpert: Automating Analog Topology Synthesis by Incorporating Circuit Design Expertise into Large Language Models
par: Zhang, Haoyi, et autres
Publié: (2024)

FlexCAD: Unified and Versatile Controllable CAD Generation with Fine-tuned Large Language Models
par: Zhang, Zhanwei, et autres
Publié: (2024)

Proof2Hybrid: Automatic Mathematical Benchmark Synthesis for Proof-Centric Problems
par: Peng, Yebo, et autres
Publié: (2025)

ReLayout: Versatile and Structure-Preserving Design Layout Editing via Relation-Aware Design Reconstruction
par: Lin, Jiawei, et autres
Publié: (2026)

Multi-Agent Collaboration via Evolving Orchestration
par: Dang, Yufan, et autres
Publié: (2025)

Generating Full-field Evolution of Physical Dynamics from Irregular Sparse Observations
par: Chen, Panqi, et autres
Publié: (2025)

Diffusion Transformers for Imputation: Statistical Efficiency and Uncertainty Quantification
par: Ye, Zeqi, et autres
Publié: (2025)

Adaptive User-Centric Entanglement Routing in Quantum Data Networks
par: Wang, Lei, et autres
Publié: (2024)

DataMaster: Data-Centric Autonomous AI Research
par: Du, Yaxin, et autres
Publié: (2026)

Controllable Financial Market Generation with Diffusion Guided Meta Agent
par: Huang, Yu-Hao, et autres
Publié: (2024)

MarS: a Financial Market Simulation Engine Powered by Generative Foundation Model
par: Li, Junjie, et autres
Publié: (2024)

Multimodal-Guided Dynamic Dataset Pruning for Robust and Efficient Data-Centric Learning
par: Yang, Suorong, et autres
Publié: (2025)

$E^3$-Agent: An Executable and Evolving Agent for Resource Management of Edge Generative Inference
par: Bao, Rui, et autres
Publié: (2026)

Exploring $\ell_0$ Sparsification for Inference-free Sparse Retrievers
par: Shen, Xinjie, et autres
Publié: (2025)

Agent^2 RL-Bench: Can LLM Agents Engineer Agentic RL Post-Training?
par: Chen, Wanyi, et autres
Publié: (2026)

Evolving Roles of LLMs in Scientific Innovation: Assistant, Collaborator, Scientist, and Evaluator
par: Zhang, Haoxuan, et autres
Publié: (2025)

Self-Evolving Multi-Agent Collaboration Networks for Software Development
par: Hu, Yue, et autres
Publié: (2024)

RoCo: Role-Based LLMs Collaboration for Automatic Heuristic Design
par: Xu, Jiawei, et autres
Publié: (2025)

R&D-Agent: An LLM-Agent Framework Towards Autonomous Data Science
par: Yang, Xu, et autres
Publié: (2025)

Thinking with Blueprints: Assisting Vision-Language Models in Spatial Reasoning via Structured Object Representation
par: Ma, Weijian, et autres
Publié: (2026)

Limit Theorems for Network Data without Metric Structure
par: Jiang, Wen, et autres
Publié: (2025)

From Data to Story: Towards Automatic Animated Data Video Creation with LLM-based Multi-Agent Systems
par: Shen, Leixian, et autres
Publié: (2024)

Automatic Funny Scene Extraction from Long-form Cinematic Videos
par: Paul, Sibendu, et autres
Publié: (2026)

Scaling Vision Transformers: Evaluating DeepSpeed for Image-Centric Workloads
par: Trinh, Huy, et autres
Publié: (2026)

Automatic Instruction Evolving for Large Language Models
par: Zeng, Weihao, et autres
Publié: (2024)