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Collections including paper arxiv:2604.08302

WTF GENIUS PAPERS

Papers that made me appreciate my major and my life a little more. obs=Observation, innov=Innovation. Most papers are abt improving tiny models.

about 22 hours ago

Continuous Latent Diffusion Language Model

Paper • 2605.06548 • Published May 7 • 87
Scaling Latent Reasoning via Looped Language Models

Paper • 2510.25741 • Published Oct 29, 2025 • 234
Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach

Paper • 2502.05171 • Published Feb 7, 2025 • 161
Pretraining Language Models to Ponder in Continuous Space

Paper • 2505.20674 • Published May 27, 2025 • 3

mHC: Manifold-Constrained Hyper-Connections

Paper • 2512.24880 • Published Dec 31, 2025 • 331
Fantastic Reasoning Behaviors and Where to Find Them: Unsupervised Discovery of the Reasoning Process

Paper • 2512.23988 • Published Dec 30, 2025 • 19
SpaceTimePilot: Generative Rendering of Dynamic Scenes Across Space and Time

Paper • 2512.25075 • Published Dec 31, 2025 • 16
Guiding a Diffusion Transformer with the Internal Dynamics of Itself

Paper • 2512.24176 • Published Dec 30, 2025 • 8

Fast-dLLM v2: Efficient Block-Diffusion LLM

Paper • 2509.26328 • Published Sep 30, 2025 • 60
Attention Is All You Need for KV Cache in Diffusion LLMs

Paper • 2510.14973 • Published Oct 16, 2025 • 43
Attention Sinks in Diffusion Language Models

Paper • 2510.15731 • Published Oct 17, 2025 • 50
Diffusion Language Models are Super Data Learners

Paper • 2511.03276 • Published Nov 5, 2025 • 132

DMax: Aggressive Parallel Decoding for dLLMs

Paper • 2604.08302 • Published Apr 9 • 54

On the Role of Discreteness in Diffusion LLMs

Paper • 2512.22630 • Published Dec 27, 2025 • 18
DMax: Aggressive Parallel Decoding for dLLMs

Paper • 2604.08302 • Published Apr 9 • 54

WTF GENIUS PAPERS

Papers that made me appreciate my major and my life a little more. obs=Observation, innov=Innovation. Most papers are abt improving tiny models.

about 22 hours ago

Continuous Latent Diffusion Language Model

Paper • 2605.06548 • Published May 7 • 87
Scaling Latent Reasoning via Looped Language Models

Paper • 2510.25741 • Published Oct 29, 2025 • 234
Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach

Paper • 2502.05171 • Published Feb 7, 2025 • 161
Pretraining Language Models to Ponder in Continuous Space

Paper • 2505.20674 • Published May 27, 2025 • 3

DMax: Aggressive Parallel Decoding for dLLMs

Paper • 2604.08302 • Published Apr 9 • 54

mHC: Manifold-Constrained Hyper-Connections

Paper • 2512.24880 • Published Dec 31, 2025 • 331
Fantastic Reasoning Behaviors and Where to Find Them: Unsupervised Discovery of the Reasoning Process

Paper • 2512.23988 • Published Dec 30, 2025 • 19
SpaceTimePilot: Generative Rendering of Dynamic Scenes Across Space and Time

Paper • 2512.25075 • Published Dec 31, 2025 • 16
Guiding a Diffusion Transformer with the Internal Dynamics of Itself

Paper • 2512.24176 • Published Dec 30, 2025 • 8

On the Role of Discreteness in Diffusion LLMs

Paper • 2512.22630 • Published Dec 27, 2025 • 18
DMax: Aggressive Parallel Decoding for dLLMs

Paper • 2604.08302 • Published Apr 9 • 54

Fast-dLLM v2: Efficient Block-Diffusion LLM

Paper • 2509.26328 • Published Sep 30, 2025 • 60
Attention Is All You Need for KV Cache in Diffusion LLMs

Paper • 2510.14973 • Published Oct 16, 2025 • 43
Attention Sinks in Diffusion Language Models

Paper • 2510.15731 • Published Oct 17, 2025 • 50
Diffusion Language Models are Super Data Learners

Paper • 2511.03276 • Published Nov 5, 2025 • 132

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