Tao Lin
- Papers
- 28
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Authored papers
28LLaDA2.0-Uni: Unifying Multimodal Understanding and Generation with Diffusion Large Language Model
arXiv 2026
Exploring Spatial Intelligence from a Generative Perspective
arXiv 2026
Rethinking UMM Visual Generation: Masked Modeling for Efficient Image-Only Pre-training
arXiv 2026
Self-Adversarial One Step Generation via Condition Shifting
arXiv 2026
DeepGen 1.0: A Lightweight Unified Multimodal Model for Advancing Image Generation and Editing
arXiv 2026
Think Longer to Explore Deeper: Learn to Explore In-Context via Length-Incentivized Reinforcement Learning
arXiv 2026
Measuring AI Ability to Complete Long Tasks
preprint
PiFlow: Principle-aware Scientific Discovery with Multi-Agent Collaboration
arXiv 2025
Unified Continuous Generative Models
arXiv 2025
TwinFlow: Realizing One-step Generation on Large Models with Self-adversarial Flows
arXiv 2025
AWorld: Orchestrating the Training Recipe for Agentic AI
arXiv 2025
Rethinking Expert Trajectory Utilization in LLM Post-training
arXiv 2025
Efficient Generative Model Training via Embedded Representation Warmup
arXiv 2025
Optimizing Decoding Paths in Masked Diffusion Models by Quantifying Uncertainty
arXiv 2025
RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human experts
arXiv 2024
Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models
arXiv 2024
Baichuan-Omni Technical Report
arXiv 2024
Generative Modeling with Explicit Memory
arXiv 2024
CollabEdit: Towards Non-destructive Collaborative Knowledge Editing
arXiv 2024
Switch EMA: A Free Lunch for Better Flatness and Sharpness
arXiv 2024
Increasing Model Capacity for Free: A Simple Strategy for Parameter Efficient Fine-tuning
arXiv 2024
On Pitfalls of Test-Time Adaptation
arXiv 2023
On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm
CVPR 2024 1
Revisiting Weighted Aggregation in Federated Learning with Neural Networks
arXiv 2023
No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Synthetic and Fixed Classifier
ICCV 2023 1
Towards Robust Multi-Modal Reasoning via Model Selection
arXiv 2023
FedRC: Tackling Diverse Distribution Shifts Challenge in Federated Learning by Robust Clustering
arXiv 2023
FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction
arXiv 2022
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