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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
Collections
Discover the best community collections!
Collections including paper arxiv:2605.18401
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ornith-ai/Ornith-1.0-397B
Text Generation • 397B • Updated • 187k • 261 -
WeiboAI/VibeThinker-3B
Text Generation • 3B • Updated • 5.6k • • 846 -
mradermacher/Mythos-nano-i1-GGUF
3B • Updated • 1.35k • 73 -
empero-ai/Qwythos-9B-Claude-Mythos-5-1M-GGUF
Image-Text-to-Text • 9B • Updated • 554k • 2.79k
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SkillEvolBench: Benchmarking the Evolution from Episodic Experience to Procedural Skills
Paper • 2605.24117 • Published • 19 -
MUSE-Autoskill: Self-Evolving Agents via Skill Creation, Memory, Management, and Evaluation
Paper • 2605.27366 • Published • 28 -
SkillGrad: Optimizing Agent Skills Like Gradient Descent
Paper • 2605.27760 • Published • 25 -
Skill0.5: Joint Skill Internalization and Utilization for Out-of-Distribution Generalization in Agentic Reinforcement Learning
Paper • 2605.28424 • Published • 27
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EvoMaster: A Foundational Agent Framework for Building Evolving Autonomous Scientific Agents at Scale
Paper • 2604.17406 • Published • 5 -
Solvita: Enhancing Large Language Models for Competitive Programming via Agentic Evolution
Paper • 2605.15301 • Published • 21 -
Learning to Foresee: Unveiling the Unlocking Efficiency of On-Policy Distillation
Paper • 2605.11739 • Published • 18 -
SkillsVote: Lifecycle Governance of Agent Skills from Collection, Recommendation to Evolution
Paper • 2605.18401 • Published • 79
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EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 31 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 15 -
ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Paper • 2402.04615 • Published • 45 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 24
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Self-Compacting Language Model Agents
Paper • 2606.23525 • Published • 19 -
Unlimited OCR Works
Paper • 2606.23050 • Published • 91 -
SkillsVote: Lifecycle Governance of Agent Skills from Collection, Recommendation to Evolution
Paper • 2605.18401 • Published • 79 -
Learning to Build the Environment: Self-Evolving Reasoning RL via Verifiable Environment Synthesis
Paper • 2605.14392 • Published • 9
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ShotStream: Streaming Multi-Shot Video Generation for Interactive Storytelling
Paper • 2603.25746 • Published • 43 -
TAPS: Task Aware Proposal Distributions for Speculative Sampling
Paper • 2603.27027 • Published • 145 -
Out of Sight but Not Out of Mind: Hybrid Memory for Dynamic Video World Models
Paper • 2603.25716 • Published • 75 -
LongCat-Next: Lexicalizing Modalities as Discrete Tokens
Paper • 2603.27538 • Published • 148
-
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
-
ornith-ai/Ornith-1.0-397B
Text Generation • 397B • Updated • 187k • 261 -
WeiboAI/VibeThinker-3B
Text Generation • 3B • Updated • 5.6k • • 846 -
mradermacher/Mythos-nano-i1-GGUF
3B • Updated • 1.35k • 73 -
empero-ai/Qwythos-9B-Claude-Mythos-5-1M-GGUF
Image-Text-to-Text • 9B • Updated • 554k • 2.79k
-
Self-Compacting Language Model Agents
Paper • 2606.23525 • Published • 19 -
Unlimited OCR Works
Paper • 2606.23050 • Published • 91 -
SkillsVote: Lifecycle Governance of Agent Skills from Collection, Recommendation to Evolution
Paper • 2605.18401 • Published • 79 -
Learning to Build the Environment: Self-Evolving Reasoning RL via Verifiable Environment Synthesis
Paper • 2605.14392 • Published • 9
-
SkillEvolBench: Benchmarking the Evolution from Episodic Experience to Procedural Skills
Paper • 2605.24117 • Published • 19 -
MUSE-Autoskill: Self-Evolving Agents via Skill Creation, Memory, Management, and Evaluation
Paper • 2605.27366 • Published • 28 -
SkillGrad: Optimizing Agent Skills Like Gradient Descent
Paper • 2605.27760 • Published • 25 -
Skill0.5: Joint Skill Internalization and Utilization for Out-of-Distribution Generalization in Agentic Reinforcement Learning
Paper • 2605.28424 • Published • 27
-
EvoMaster: A Foundational Agent Framework for Building Evolving Autonomous Scientific Agents at Scale
Paper • 2604.17406 • Published • 5 -
Solvita: Enhancing Large Language Models for Competitive Programming via Agentic Evolution
Paper • 2605.15301 • Published • 21 -
Learning to Foresee: Unveiling the Unlocking Efficiency of On-Policy Distillation
Paper • 2605.11739 • Published • 18 -
SkillsVote: Lifecycle Governance of Agent Skills from Collection, Recommendation to Evolution
Paper • 2605.18401 • Published • 79
-
ShotStream: Streaming Multi-Shot Video Generation for Interactive Storytelling
Paper • 2603.25746 • Published • 43 -
TAPS: Task Aware Proposal Distributions for Speculative Sampling
Paper • 2603.27027 • Published • 145 -
Out of Sight but Not Out of Mind: Hybrid Memory for Dynamic Video World Models
Paper • 2603.25716 • Published • 75 -
LongCat-Next: Lexicalizing Modalities as Discrete Tokens
Paper • 2603.27538 • Published • 148
-
EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 31 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 15 -
ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Paper • 2402.04615 • Published • 45 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 24