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Continuous Latent Diffusion Language Model
Paper • 2605.06548 • Published • 86 -
Scaling Latent Reasoning via Looped Language Models
Paper • 2510.25741 • Published • 236 -
Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach
Paper • 2502.05171 • Published • 162 -
Pretraining Language Models to Ponder in Continuous Space
Paper • 2505.20674 • Published • 3
Collections
Discover the best community collections!
Collections including paper arxiv:2608.30320
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Why Fine-Tuning Encourages Hallucinations and How to Fix It
Paper • 2604.15574 • Published • 25 -
Tuna-2: Pixel Embeddings Beat Vision Encoders for Multimodal Understanding and Generation
Paper • 2604.24763 • Published • 70 -
Programming with Data: Test-Driven Data Engineering for Self-Improving LLMs from Raw Corpora
Paper • 2604.24819 • Published • 90 -
GLM-5V-Turbo: Toward a Native Foundation Model for Multimodal Agents
Paper • 2604.26752 • Published • 114
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MAI-UI Technical Report: Real-World Centric Foundation GUI Agents
Paper • 2512.22047 • Published • 31 -
Mindscape-Aware Retrieval Augmented Generation for Improved Long Context Understanding
Paper • 2512.17220 • Published • 115 -
UniPercept: Towards Unified Perceptual-Level Image Understanding across Aesthetics, Quality, Structure, and Texture
Paper • 2512.21675 • Published • 28 -
On the Design of Qwen3.8-Next Architecture: Evaluation, Efficiency, and Training Stability
Paper • 2608.30320 • Published • 62
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Self-Boosting Large Language Models with Synthetic Preference Data
Paper • 2410.06961 • Published • 16 -
Qwen2.5 Technical Report
Paper • 2412.15115 • Published • 381 -
SCOPE: Optimizing Key-Value Cache Compression in Long-context Generation
Paper • 2412.13649 • Published • 21 -
NeoBERT: A Next-Generation BERT
Paper • 2502.19587 • Published • 39
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LTX-2: Efficient Joint Audio-Visual Foundation Model
Paper • 2601.03233 • Published • 196 -
MHLA: Restoring Expressivity of Linear Attention via Token-Level Multi-Head
Paper • 2601.07832 • Published • 53 -
Motion Attribution for Video Generation
Paper • 2601.08828 • Published • 72 -
Post-LayerNorm Is Back: Stable, ExpressivE, and Deep
Paper • 2601.19895 • Published • 27
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GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models
Paper • 2508.06471 • Published • 215 -
Cognitive Kernel-Pro: A Framework for Deep Research Agents and Agent Foundation Models Training
Paper • 2508.00414 • Published • 96 -
Continuous Autoregressive Language Models
Paper • 2510.27688 • Published • 75 -
MiMo-Embodied: X-Embodied Foundation Model Technical Report
Paper • 2511.16518 • Published • 26
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What Matters in Transformers? Not All Attention is Needed
Paper • 2406.15786 • Published • 32 -
Breaking the Memory Barrier: Near Infinite Batch Size Scaling for Contrastive Loss
Paper • 2410.17243 • Published • 93 -
Forgetting Transformer: Softmax Attention with a Forget Gate
Paper • 2503.02130 • Published • 32 -
Transformers without Normalization
Paper • 2503.10622 • Published • 171
-
Continuous Latent Diffusion Language Model
Paper • 2605.06548 • Published • 86 -
Scaling Latent Reasoning via Looped Language Models
Paper • 2510.25741 • Published • 236 -
Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach
Paper • 2502.05171 • Published • 162 -
Pretraining Language Models to Ponder in Continuous Space
Paper • 2505.20674 • Published • 3
-
Why Fine-Tuning Encourages Hallucinations and How to Fix It
Paper • 2604.15574 • Published • 25 -
Tuna-2: Pixel Embeddings Beat Vision Encoders for Multimodal Understanding and Generation
Paper • 2604.24763 • Published • 70 -
Programming with Data: Test-Driven Data Engineering for Self-Improving LLMs from Raw Corpora
Paper • 2604.24819 • Published • 90 -
GLM-5V-Turbo: Toward a Native Foundation Model for Multimodal Agents
Paper • 2604.26752 • Published • 114
-
LTX-2: Efficient Joint Audio-Visual Foundation Model
Paper • 2601.03233 • Published • 196 -
MHLA: Restoring Expressivity of Linear Attention via Token-Level Multi-Head
Paper • 2601.07832 • Published • 53 -
Motion Attribution for Video Generation
Paper • 2601.08828 • Published • 72 -
Post-LayerNorm Is Back: Stable, ExpressivE, and Deep
Paper • 2601.19895 • Published • 27
-
MAI-UI Technical Report: Real-World Centric Foundation GUI Agents
Paper • 2512.22047 • Published • 31 -
Mindscape-Aware Retrieval Augmented Generation for Improved Long Context Understanding
Paper • 2512.17220 • Published • 115 -
UniPercept: Towards Unified Perceptual-Level Image Understanding across Aesthetics, Quality, Structure, and Texture
Paper • 2512.21675 • Published • 28 -
On the Design of Qwen3.8-Next Architecture: Evaluation, Efficiency, and Training Stability
Paper • 2608.30320 • Published • 62
-
GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models
Paper • 2508.06471 • Published • 215 -
Cognitive Kernel-Pro: A Framework for Deep Research Agents and Agent Foundation Models Training
Paper • 2508.00414 • Published • 96 -
Continuous Autoregressive Language Models
Paper • 2510.27688 • Published • 75 -
MiMo-Embodied: X-Embodied Foundation Model Technical Report
Paper • 2511.16518 • Published • 26
-
Self-Boosting Large Language Models with Synthetic Preference Data
Paper • 2410.06961 • Published • 16 -
Qwen2.5 Technical Report
Paper • 2412.15115 • Published • 381 -
SCOPE: Optimizing Key-Value Cache Compression in Long-context Generation
Paper • 2412.13649 • Published • 21 -
NeoBERT: A Next-Generation BERT
Paper • 2502.19587 • Published • 39
-
What Matters in Transformers? Not All Attention is Needed
Paper • 2406.15786 • Published • 32 -
Breaking the Memory Barrier: Near Infinite Batch Size Scaling for Contrastive Loss
Paper • 2410.17243 • Published • 93 -
Forgetting Transformer: Softmax Attention with a Forget Gate
Paper • 2503.02130 • Published • 32 -
Transformers without Normalization
Paper • 2503.10622 • Published • 171