:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Wang, Penghao, Zhou, Yuhao, Wu, Mengxuan, Qin, Ziheng, Zhu, Bangyuan, Huang, Shengbin, Zhao, Xuanlei, Zhang, Panpan, Peng, Xiaojiang, Shang, Yuzhang, Yang, Jianfei, Zhu, Zheng, Chen, Tianlong, Wang, Zhangyang, Wang, Kai
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning
Acceso en línea:	https://arxiv.org/abs/2510.20279
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Data Efficient Any Transformer-to-Mamba Distillation via Attention Bridge
por: Wang, Penghao, et al.
Publicado: (2025)

Good Agentic Friends Do Not Just Give Verbal Advice: They Can Update Your Weights
por: Bao, Wenrui, et al.
Publicado: (2026)

E3D-Bench: A Benchmark for End-to-End 3D Geometric Foundation Models
por: Cong, Wenyan, et al.
Publicado: (2025)

Benchmarking Post-Training Quantization in LLMs: Comprehensive Taxonomy, Unified Evaluation, and Comparative Analysis
por: Zhao, Jiaqi, et al.
Publicado: (2025)

PARNESS: A Paper Harness for End-to-End Automated Scientific Research with Dynamic Workflows, Full-Text Indexing, and Cross-Run Knowledge Accumulation
por: Wang, Yuchen, et al.
Publicado: (2026)

Deep Learning‐Based Image Recognition for Food Science and Technology: End‐to‐End Workflows and Domain‐Specific Solutions
por: Bin Liao, et al.
Publicado: (2026)

REPA Works Until It Doesn't: Early-Stopped, Holistic Alignment Supercharges Diffusion Training
por: Wang, Ziqiao, et al.
Publicado: (2025)

New Insights into Global Warming: End-to-End Visual Analysis and Prediction of Temperature Variations
por: Zhou, Meihua, et al.
Publicado: (2024)

FullFront: Benchmarking MLLMs Across the Full Front-End Engineering Workflow
por: Sun, Haoyu, et al.
Publicado: (2025)

RIG: Synergizing Reasoning and Imagination in End-to-End Generalist Policy
por: Zhao, Zhonghan, et al.
Publicado: (2025)

Dynamic Vision Mamba
por: Wu, Mengxuan, et al.
Publicado: (2025)

MoCha:End-to-End Video Character Replacement without Structural Guidance
por: Xu, Zhengbo, et al.
Publicado: (2026)

Benchmarking AI Performance on End-to-End Data Science Projects
por: Hughes, Evelyn, et al.
Publicado: (2026)

FIXME: Towards End-to-End Benchmarking of LLM-Aided Design Verification
por: Wan, Gwok-Waa, et al.
Publicado: (2025)

LLM-AutoDiff: Auto-Differentiate Any LLM Workflow
por: Yin, Li, et al.
Publicado: (2025)

EA-ViT: Efficient Adaptation for Elastic Vision Transformer
por: Zhu, Chen, et al.
Publicado: (2025)

ELT-Bench: An End-to-End Benchmark for Evaluating AI Agents on ELT Pipelines
por: Jin, Tengjun, et al.
Publicado: (2025)

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights
por: Liang, Zhiyuan, et al.
Publicado: (2025)

A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training
por: Wang, Kai, et al.
Publicado: (2024)

WebDS: An End-to-End Benchmark for Web-based Data Science
por: Hsu, Ethan, et al.
Publicado: (2025)

End-User Training at the Amoco Research Center.
por: Kirk, Cheryl L.
Publicado: (1986)

MDAgent: A Multi-Agent Framework for End-to-End Molecular Dynamics Research
por: Ma, Zhenyu, et al.
Publicado: (2026)

Co-Designing Binarized Transformer and Hardware Accelerator for Efficient End-to-End Edge Deployment
por: Ji, Yuhao, et al.
Publicado: (2024)

GE2E-KWS: Generalized End-to-End Training and Evaluation for Zero-shot Keyword Spotting
por: Zhu, Pai, et al.
Publicado: (2024)

PRBench: End-to-end Paper Reproduction in Physics Research
por: Qiu, Shi, et al.
Publicado: (2026)

WildSpeech-Bench: Benchmarking End-to-End SpeechLLMs in the Wild
por: Zhang, Linhao, et al.
Publicado: (2025)

VisionSelector: End-to-End Learnable Visual Token Compression for Efficient Multimodal LLMs
por: Zhu, Jiaying, et al.
Publicado: (2025)

Ti-Audio: The First Multi-Dialectal End-to-End Speech LLM for Tibetan
por: Wang, Jialing, et al.
Publicado: (2026)

GSQ-Tuning: Group-Shared Exponents Integer in Fully Quantized Training for LLMs On-Device Fine-tuning
por: Zhou, Sifan, et al.
Publicado: (2025)

End-to-End On-Device Quantization-Aware Training for LLMs at Inference Cost
por: Tan, Qitao, et al.
Publicado: (2025)

FrontendBench: A Benchmark for Evaluating LLMs on Front-End Development via Automatic Evaluation
por: Zhu, Hongda, et al.
Publicado: (2025)

EGA-V1: Unifying Online Advertising with End-to-End Learning
por: Qiu, Junyan, et al.
Publicado: (2025)

Cool-3D: An End-to-End Thermal-Aware Framework for Early-Phase Design Space Exploration of Microfluidic-Cooled 3DICs
por: Wang, Runxi, et al.
Publicado: (2025)

NORA: A Harness-Engineered Autonomous Research Agent for End-to-End Spatial Data Science
por: Zhou, Bing, et al.
Publicado: (2026)

ORMind: A Cognitive-Inspired End-to-End Reasoning Framework for Operations Research
por: Wang, Zhiyuan, et al.
Publicado: (2025)

SimFlow: Simplified and End-to-End Training of Latent Normalizing Flows
por: Zhao, Qinyu, et al.
Publicado: (2025)

Countering Mainstream Bias via End-to-End Adaptive Local Learning
por: Pan, Jinhao, et al.
Publicado: (2024)

Towards End-to-End Earthquake Monitoring Using a Multitask Deep Learning Model
por: Zhu, Weiqiang, et al.
Publicado: (2025)

Efficient End-to-End Visual Document Understanding with Rationale Distillation
por: Zhu, Wang, et al.
Publicado: (2023)

Driving with A Thousand Faces: A Benchmark for Closed-Loop Personalized End-to-End Autonomous Driving
por: Dong, Xiaoru, et al.
Publicado: (2026)