Tao LIN

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upvoted a paper 4 days ago

Intrinsic Distribution Matching

Paper • 2610.39633 • Published 9 days ago • 31

upvoted a paper 17 days ago

Self-Adversarial One Step Generation via Condition Shifting

Paper • 2604.12322 • Published Apr 14 • 14

upvoted a paper 22 days ago

TPPO: Tracking-Value PPO For Language Model Reasoning

Paper • 2610.16794 • Published 26 days ago • 80

upvoted a paper about 1 month ago

UltraText Bench: A Comprehensive Bilingual Benchmark for Evaluating Visual Text Rendering in Image Generation

Paper • 2610.09823 • Published Oct 7 • 33

upvoted 2 papers 2 months ago

LLaDA-Image: Building Strong Image Generators with Fully Open Training Recipes

Paper • 2609.03796 • Published Sep 3 • 59

Unlocking the Potential of Image Editing via Concept Scaling and Dense Supervision

Paper • 2608.16812 • Published Aug 17 • 53

upvoted a paper 3 months ago

Three-Body Scattering for Generative Modeling

Paper • 2607.18198 • Published Jul 20 • 15

upvoted a paper 4 months ago

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget

Paper • 2607.13125 • Published Jul 18 • 125

upvoted a paper 9 months ago

LLaDA2.1: Speeding Up Text Diffusion via Token Editing

Paper • 2602.08676 • Published Feb 9 • 71

upvoted a paper 11 months ago

TwinFlow: Realizing One-step Generation on Large Models with Self-adversarial Flows

Paper • 2512.05150 • Published Dec 3, 2025 • 76

upvoted a paper about 1 year ago

Don't Just Fine-tune the Agent, Tune the Environment

Paper • 2510.10197 • Published Oct 11, 2025 • 30

authored 9 papers over 1 year ago

No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Synthetic and Fixed Classifier

Paper • 2303.10058 • Published Mar 17, 2023

Towards Robust Multi-Modal Reasoning via Model Selection

Paper • 2310.08446 • Published Oct 12, 2023

Masking as an Efficient Alternative to Finetuning for Pretrained Language Models

Paper • 2004.12406 • Published Apr 26, 2020 • 1

On Pitfalls of Test-Time Adaptation

Paper • 2306.03536 • Published Jun 6, 2023

PathMMU: A Massive Multimodal Expert-Level Benchmark for Understanding and Reasoning in Pathology

Paper • 2401.16355 • Published Jan 29, 2024 • 4

FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction

Paper • 2205.13462 • Published May 26, 2022

Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models

Paper • 2405.14297 • Published May 23, 2024 • 3

Increasing Model Capacity for Free: A Simple Strategy for Parameter Efficient Fine-tuning

Paper • 2407.01320 • Published Jul 1, 2024 • 1

FedRC: Tackling Diverse Distribution Shifts Challenge in Federated Learning by Robust Clustering

Paper • 2301.12379 • Published Jan 29, 2023