Tony Congqian Wang

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upvoted a paper 18 days ago

TiDAR: Think in Diffusion, Talk in Autoregression

Paper • 2511.08923 • Published Nov 12 • 117

upvoted an article about 1 month ago

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Article

Why Did MiniMax M2 End Up as a Full Attention Model?

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Oct 30

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71

upvoted 2 papers about 2 months ago

Scaling Latent Reasoning via Looped Language Models

Paper • 2510.25741 • Published Oct 29 • 221

The End of Manual Decoding: Towards Truly End-to-End Language Models

Paper • 2510.26697 • Published Oct 30 • 116

upvoted 5 papers 2 months ago

Every Step Evolves: Scaling Reinforcement Learning for Trillion-Scale Thinking Model

Paper • 2510.18855 • Published Oct 21 • 71

Less is More: Recursive Reasoning with Tiny Networks

Paper • 2510.04871 • Published Oct 6 • 500

Reinforcement Learning on Pre-Training Data

Paper • 2509.19249 • Published Sep 23 • 67

RLP: Reinforcement as a Pretraining Objective

Paper • 2510.01265 • Published Sep 26 • 40

Meta-Awareness Enhances Reasoning Models: Self-Alignment Reinforcement Learning

Paper • 2510.03259 • Published Sep 26 • 57

upvoted a paper 3 months ago

FlowRL: Matching Reward Distributions for LLM Reasoning

Paper • 2509.15207 • Published Sep 18 • 114

upvoted a paper 6 months ago

SingLoRA: Low Rank Adaptation Using a Single Matrix

Paper • 2507.05566 • Published Jul 8 • 113

upvoted an article 6 months ago

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Article

Searching for better (Full) ImageNet ViT Baselines

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Aug 26, 2024

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6

upvoted a paper 7 months ago

Reinforcement Pre-Training

Paper • 2506.08007 • Published Jun 9 • 263