Snowflake/Arctic-Text2SQL-R1-7B
8B • Updated
• 3.52k • 61
Language
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Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning
Paper • 2505.24726 • Published • 277 -
Reinforcement Pre-Training
Paper • 2506.08007 • Published • 263 -
Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights
Paper • 2506.16406 • Published • 131 -
Confidence Is All You Need: Few-Shot RL Fine-Tuning of Language Models
Paper • 2506.06395 • Published • 133 -
Qwen3 Technical Report
Paper • 2505.09388 • Published • 334 -
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning
Paper • 2505.17667 • Published • 88 -
Beyond Context Limits: Subconscious Threads for Long-Horizon Reasoning
Paper • 2507.16784 • Published • 122 -
Group Sequence Policy Optimization
Paper • 2507.18071 • Published • 317 -
nablaNABLA: Neighborhood Adaptive Block-Level Attention
Paper • 2507.13546 • Published • 125 -
GR-3 Technical Report
Paper • 2507.15493 • Published • 47 -
MUR: Momentum Uncertainty guided Reasoning for Large Language Models
Paper • 2507.14958 • Published • 47 -
LAPO: Internalizing Reasoning Efficiency via Length-Adaptive Policy Optimization
Paper • 2507.15758 • Published • 35 -
Complex Logical Instruction Generation
Paper • 2508.09125 • Published • 40 -
SONAR-LLM: Autoregressive Transformer that Thinks in Sentence Embeddings and Speaks in Tokens
Paper • 2508.05305 • Published • 47 -
PRELUDE: A Benchmark Designed to Require Global Comprehension and Reasoning over Long Contexts
Paper • 2508.09848 • Published • 71 -
Train Long, Think Short: Curriculum Learning for Efficient Reasoning
Paper • 2508.08940 • Published • 27 -
Learning to Align, Aligning to Learn: A Unified Approach for Self-Optimized Alignment
Paper • 2508.07750 • Published • 21 -
Pruning the Unsurprising: Efficient Code Reasoning via First-Token Surprisal
Paper • 2508.05988 • Published • 21 -
Less Is More: Training-Free Sparse Attention with Global Locality for Efficient Reasoning
Paper • 2508.07101 • Published • 14 -
Compressing Chain-of-Thought in LLMs via Step Entropy
Paper • 2508.03346 • Published • 8 -
Sample More to Think Less: Group Filtered Policy Optimization for Concise Reasoning
Paper • 2508.09726 • Published • 15 -
Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens
Paper • 2508.01191 • Published • 238 -
On the Generalization of SFT: A Reinforcement Learning Perspective with Reward Rectification
Paper • 2508.05629 • Published • 183 -
R-Zero: Self-Evolving Reasoning LLM from Zero Data
Paper • 2508.05004 • Published • 130 -
Story2Board: A Training-Free Approach for Expressive Storyboard Generation
Paper • 2508.09983 • Published • 70 -
Don't Overthink It: A Survey of Efficient R1-style Large Reasoning Models
Paper • 2508.02120 • Published • 20 -
Beyond the Trade-off: Self-Supervised Reinforcement Learning for Reasoning Models' Instruction Following
Paper • 2508.02150 • Published • 37 -
Trainable Dynamic Mask Sparse Attention
Paper • 2508.02124 • Published • 19 -
Can Large Multimodal Models Actively Recognize Faulty Inputs? A Systematic Evaluation Framework of Their Input Scrutiny Ability
Paper • 2508.04017 • Published • 11 -
Deep Think with Confidence
Paper • 2508.15260 • Published • 90 -
PaperRegister: Boosting Flexible-grained Paper Search via Hierarchical Register Indexing
Paper • 2508.11116 • Published • 22 -
Efficient Code Embeddings from Code Generation Models
Paper • 2508.21290 • Published • 19 -
Model-Task Alignment Drives Distinct RL Outcomes
Paper • 2508.21188 • Published • 8 -
Pref-GRPO: Pairwise Preference Reward-based GRPO for Stable Text-to-Image Reinforcement Learning
Paper • 2508.20751 • Published • 89 -
UltraMemV2: Memory Networks Scaling to 120B Parameters with Superior Long-Context Learning
Paper • 2508.18756 • Published • 36 -
Hermes 4 Technical Report
Paper • 2508.18255 • Published • 44 -
StepWiser: Stepwise Generative Judges for Wiser Reasoning
Paper • 2508.19229 • Published • 20 -
ThinkDial: An Open Recipe for Controlling Reasoning Effort in Large Language Models
Paper • 2508.18773 • Published • 16 -
Neither Valid nor Reliable? Investigating the Use of LLMs as Judges
Paper • 2508.18076 • Published • 6 -
InMind: Evaluating LLMs in Capturing and Applying Individual Human Reasoning Styles
Paper • 2508.16072 • Published • 4 -
Servant, Stalker, Predator: How An Honest, Helpful, And Harmless (3H) Agent Unlocks Adversarial Skills
Paper • 2508.19500 • Published • 2 -
CARFT: Boosting LLM Reasoning via Contrastive Learning with Annotated Chain-of-Thought-based Reinforced Fine-Tuning
Paper • 2508.15868 • Published • 3 -
Jailbreaking Commercial Black-Box LLMs with Explicitly Harmful Prompts
Paper • 2508.10390 • Published • 1 -
LLaVA-Critic-R1: Your Critic Model is Secretly a Strong Policy Model
Paper • 2509.00676 • Published • 85 -
DCPO: Dynamic Clipping Policy Optimization
Paper • 2509.02333 • Published • 22 -
When Does Reasoning Matter? A Controlled Study of Reasoning's Contribution to Model Performance
Paper • 2509.22193 • Published • 38 -
What Characterizes Effective Reasoning? Revisiting Length, Review, and Structure of CoT
Paper • 2509.19284 • Published • 23