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Continuous Latent Diffusion Language Model
Paper • 2605.06548 • Published • 87 -
Scaling Latent Reasoning via Looped Language Models
Paper • 2510.25741 • Published • 234 -
Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach
Paper • 2502.05171 • Published • 160 -
Pretraining Language Models to Ponder in Continuous Space
Paper • 2505.20674 • Published • 3
Collections
Discover the best community collections!
Collections including paper arxiv:2605.20613
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When Scaling Meets LLM Finetuning: The Effect of Data, Model and Finetuning Method
Paper • 2402.17193 • Published • 27 -
What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective
Paper • 2410.23743 • Published • 64 -
Direct Preference Optimization Using Sparse Feature-Level Constraints
Paper • 2411.07618 • Published • 17 -
Transformer^2: Self-adaptive LLMs
Paper • 2501.06252 • Published • 55
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HRM-Text: Efficient Pretraining Beyond Scaling
Paper • 2605.20613 • Published • 323 -
LoopUS: Recasting Pretrained LLMs into Looped Latent Refinement Models
Paper • 2605.11011 • Published • 10 -
Less is More: Recursive Reasoning with Tiny Networks
Paper • 2510.04871 • Published • 518 -
Characterizing, Evaluating, and Optimizing Complex Reasoning
Paper • 2602.08498 • Published • 1
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ShotStream: Streaming Multi-Shot Video Generation for Interactive Storytelling
Paper • 2603.25746 • Published • 155 -
TAPS: Task Aware Proposal Distributions for Speculative Sampling
Paper • 2603.27027 • Published • 147 -
Out of Sight but Not Out of Mind: Hybrid Memory for Dynamic Video World Models
Paper • 2603.25716 • Published • 157 -
LongCat-Next: Lexicalizing Modalities as Discrete Tokens
Paper • 2603.27538 • Published • 150
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Continuous Latent Diffusion Language Model
Paper • 2605.06548 • Published • 87 -
Scaling Latent Reasoning via Looped Language Models
Paper • 2510.25741 • Published • 234 -
Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach
Paper • 2502.05171 • Published • 160 -
Pretraining Language Models to Ponder in Continuous Space
Paper • 2505.20674 • Published • 3
-
HRM-Text: Efficient Pretraining Beyond Scaling
Paper • 2605.20613 • Published • 323 -
LoopUS: Recasting Pretrained LLMs into Looped Latent Refinement Models
Paper • 2605.11011 • Published • 10 -
Less is More: Recursive Reasoning with Tiny Networks
Paper • 2510.04871 • Published • 518 -
Characterizing, Evaluating, and Optimizing Complex Reasoning
Paper • 2602.08498 • Published • 1
-
ShotStream: Streaming Multi-Shot Video Generation for Interactive Storytelling
Paper • 2603.25746 • Published • 155 -
TAPS: Task Aware Proposal Distributions for Speculative Sampling
Paper • 2603.27027 • Published • 147 -
Out of Sight but Not Out of Mind: Hybrid Memory for Dynamic Video World Models
Paper • 2603.25716 • Published • 157 -
LongCat-Next: Lexicalizing Modalities as Discrete Tokens
Paper • 2603.27538 • Published • 150
-
When Scaling Meets LLM Finetuning: The Effect of Data, Model and Finetuning Method
Paper • 2402.17193 • Published • 27 -
What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective
Paper • 2410.23743 • Published • 64 -
Direct Preference Optimization Using Sparse Feature-Level Constraints
Paper • 2411.07618 • Published • 17 -
Transformer^2: Self-adaptive LLMs
Paper • 2501.06252 • Published • 55