SOTAVerified

Model Optimization

To Optimize already existing models in Training/Inferencing tasks.

Papers

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Showing 1–25 of 380 papers

TitleStatusHype
R&D-Agent-Quant: A Multi-Agent Framework for Data-Centric Factors and Model Joint OptimizationCode13
DocLayout-YOLO: Enhancing Document Layout Analysis through Diverse Synthetic Data and Global-to-Local Adaptive PerceptionCode9
Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese UnderstandingCode7
Real-Time Scene Text Detection with Differentiable Binarization and Adaptive Scale FusionCode7
Multi-objective Asynchronous Successive HalvingCode3
From Tiny Machine Learning to Tiny Deep Learning: A SurveyCode2
SLOT: Sample-specific Language Model Optimization at Test-timeCode2
On-device Sora: Enabling Training-Free Diffusion-based Text-to-Video Generation for Mobile DevicesCode2
UI-R1: Enhancing Efficient Action Prediction of GUI Agents by Reinforcement LearningCode2
On-device Sora: Enabling Training-Free Diffusion-based Text-to-Video Generation for Mobile DevicesCode2
MMGenBench: Evaluating the Limits of LMMs from the Text-to-Image Generation PerspectiveCode2
MRSegmentator: Multi-Modality Segmentation of 40 Classes in MRI and CTCode2
Urban Architect: Steerable 3D Urban Scene Generation with Layout PriorCode2
SAM-Assisted Remote Sensing Imagery Semantic Segmentation with Object and Boundary ConstraintsCode2
MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language ModelsCode2
RewardAnything: Generalizable Principle-Following Reward ModelsCode1
BEDI: A Comprehensive Benchmark for Evaluating Embodied Agents on UAVsCode1
OpenHuEval: Evaluating Large Language Model on Hungarian SpecificsCode1
A Comprehensive Survey on Cross-Domain Recommendation: Taxonomy, Progress, and ProspectsCode1
Gradient-Guided Annealing for Domain GeneralizationCode1
CGMatch: A Different Perspective of Semi-supervised LearningCode1
RFSR: Improving ISR Diffusion Models via Reward Feedback LearningCode1
EasyJudge: an Easy-to-use Tool for Comprehensive Response Evaluation of LLMsCode1
Revisiting Essential and Nonessential Settings of Evidential Deep LearningCode1
Moner: Motion Correction in Undersampled Radial MRI with Unsupervised Neural RepresentationCode1
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