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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:2607.25431
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Large Language Models Orchestrating Structured Reasoning Achieve Kaggle Grandmaster Level
Paper • 2411.03562 • Published • 70 -
Training Language Models for Social Deduction with Multi-Agent Reinforcement Learning
Paper • 2502.06060 • Published • 37 -
MLGym: A New Framework and Benchmark for Advancing AI Research Agents
Paper • 2502.14499 • Published • 196 -
SurveyX: Academic Survey Automation via Large Language Models
Paper • 2502.14776 • Published • 100
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The Debugging Decay Index: Rethinking Debugging Strategies for Code LLMs
Paper • 2506.18403 • Published • 3 -
ReCode: Updating Code API Knowledge with Reinforcement Learning
Paper • 2506.20495 • Published • 10 -
SWE-Debate: Competitive Multi-Agent Debate for Software Issue Resolution
Paper • 2507.23348 • Published • 12 -
LoCoBench: A Benchmark for Long-Context Large Language Models in Complex Software Engineering
Paper • 2509.09614 • Published • 7
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Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs
Paper • 2506.19290 • Published • 53 -
Data Efficacy for Language Model Training
Paper • 2506.21545 • Published • 11 -
Easy Dataset: A Unified and Extensible Framework for Synthesizing LLM Fine-Tuning Data from Unstructured Documents
Paper • 2507.04009 • Published • 55 -
RefineX: Learning to Refine Pre-training Data at Scale from Expert-Guided Programs
Paper • 2507.03253 • Published • 19
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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
-
The Debugging Decay Index: Rethinking Debugging Strategies for Code LLMs
Paper • 2506.18403 • Published • 3 -
ReCode: Updating Code API Knowledge with Reinforcement Learning
Paper • 2506.20495 • Published • 10 -
SWE-Debate: Competitive Multi-Agent Debate for Software Issue Resolution
Paper • 2507.23348 • Published • 12 -
LoCoBench: A Benchmark for Long-Context Large Language Models in Complex Software Engineering
Paper • 2509.09614 • Published • 7
-
Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs
Paper • 2506.19290 • Published • 53 -
Data Efficacy for Language Model Training
Paper • 2506.21545 • Published • 11 -
Easy Dataset: A Unified and Extensible Framework for Synthesizing LLM Fine-Tuning Data from Unstructured Documents
Paper • 2507.04009 • Published • 55 -
RefineX: Learning to Refine Pre-training Data at Scale from Expert-Guided Programs
Paper • 2507.03253 • Published • 19
-
Large Language Models Orchestrating Structured Reasoning Achieve Kaggle Grandmaster Level
Paper • 2411.03562 • Published • 70 -
Training Language Models for Social Deduction with Multi-Agent Reinforcement Learning
Paper • 2502.06060 • Published • 37 -
MLGym: A New Framework and Benchmark for Advancing AI Research Agents
Paper • 2502.14499 • Published • 196 -
SurveyX: Academic Survey Automation via Large Language Models
Paper • 2502.14776 • Published • 100