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VideoDeepResearch: Long Video Understanding With Agentic Tool Using
Paper • 2506.10821 • Published • 19 -
Jan-nano Technical Report
Paper • 2506.22760 • Published • 9 -
MMSearch-R1: Incentivizing LMMs to Search
Paper • 2506.20670 • Published • 64 -
WebSailor: Navigating Super-human Reasoning for Web Agent
Paper • 2507.02592 • Published • 121
Collections
Discover the best community collections!
Collections including paper arxiv:2507.19849
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Towards General-Purpose Model-Free Reinforcement Learning
Paper • 2501.16142 • Published • 30 -
DAPO: An Open-Source LLM Reinforcement Learning System at Scale
Paper • 2503.14476 • Published • 141 -
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?
Paper • 2504.13837 • Published • 136 -
Learning to Reason under Off-Policy Guidance
Paper • 2504.14945 • Published • 88
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End-to-End Goal-Driven Web Navigation
Paper • 1602.02261 • Published -
Learning Language Games through Interaction
Paper • 1606.02447 • Published -
Naturalizing a Programming Language via Interactive Learning
Paper • 1704.06956 • Published -
Reinforcement Learning on Web Interfaces Using Workflow-Guided Exploration
Paper • 1802.08802 • Published • 1
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MaPPO: Maximum a Posteriori Preference Optimization with Prior Knowledge
Paper • 2507.21183 • Published • 14 -
MixGRPO: Unlocking Flow-based GRPO Efficiency with Mixed ODE-SDE
Paper • 2507.21802 • Published • 16 -
EDGE-GRPO: Entropy-Driven GRPO with Guided Error Correction for Advantage Diversity
Paper • 2507.21848 • Published • 8 -
Agentic Reinforced Policy Optimization
Paper • 2507.19849 • Published • 156
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Nuclear Norm Regularization for Deep Learning
Paper • 2405.14544 • Published • 1 -
Token embeddings violate the manifold hypothesis
Paper • 2504.01002 • Published • 1 -
Approximate Nullspace Augmented Finetuning for Robust Vision Transformers
Paper • 2403.10476 • Published • 1 -
ElaLoRA: Elastic & Learnable Low-Rank Adaptation for Efficient Model Fine-Tuning
Paper • 2504.00254 • Published • 1
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Large Language Models Orchestrating Structured Reasoning Achieve Kaggle Grandmaster Level
Paper • 2411.03562 • Published • 68 -
Training Language Models for Social Deduction with Multi-Agent Reinforcement Learning
Paper • 2502.06060 • Published • 38 -
MLGym: A New Framework and Benchmark for Advancing AI Research Agents
Paper • 2502.14499 • Published • 192 -
SurveyX: Academic Survey Automation via Large Language Models
Paper • 2502.14776 • Published • 100
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GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning
Paper • 2507.19457 • Published • 28 -
Agentic Reinforced Policy Optimization
Paper • 2507.19849 • Published • 156 -
Group Sequence Policy Optimization
Paper • 2507.18071 • Published • 309 -
Cache-to-Cache: Direct Semantic Communication Between Large Language Models
Paper • 2510.03215 • Published • 96
-
VideoDeepResearch: Long Video Understanding With Agentic Tool Using
Paper • 2506.10821 • Published • 19 -
Jan-nano Technical Report
Paper • 2506.22760 • Published • 9 -
MMSearch-R1: Incentivizing LMMs to Search
Paper • 2506.20670 • Published • 64 -
WebSailor: Navigating Super-human Reasoning for Web Agent
Paper • 2507.02592 • Published • 121
-
Nuclear Norm Regularization for Deep Learning
Paper • 2405.14544 • Published • 1 -
Token embeddings violate the manifold hypothesis
Paper • 2504.01002 • Published • 1 -
Approximate Nullspace Augmented Finetuning for Robust Vision Transformers
Paper • 2403.10476 • Published • 1 -
ElaLoRA: Elastic & Learnable Low-Rank Adaptation for Efficient Model Fine-Tuning
Paper • 2504.00254 • Published • 1
-
Towards General-Purpose Model-Free Reinforcement Learning
Paper • 2501.16142 • Published • 30 -
DAPO: An Open-Source LLM Reinforcement Learning System at Scale
Paper • 2503.14476 • Published • 141 -
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?
Paper • 2504.13837 • Published • 136 -
Learning to Reason under Off-Policy Guidance
Paper • 2504.14945 • Published • 88
-
Large Language Models Orchestrating Structured Reasoning Achieve Kaggle Grandmaster Level
Paper • 2411.03562 • Published • 68 -
Training Language Models for Social Deduction with Multi-Agent Reinforcement Learning
Paper • 2502.06060 • Published • 38 -
MLGym: A New Framework and Benchmark for Advancing AI Research Agents
Paper • 2502.14499 • Published • 192 -
SurveyX: Academic Survey Automation via Large Language Models
Paper • 2502.14776 • Published • 100
-
End-to-End Goal-Driven Web Navigation
Paper • 1602.02261 • Published -
Learning Language Games through Interaction
Paper • 1606.02447 • Published -
Naturalizing a Programming Language via Interactive Learning
Paper • 1704.06956 • Published -
Reinforcement Learning on Web Interfaces Using Workflow-Guided Exploration
Paper • 1802.08802 • Published • 1
-
MaPPO: Maximum a Posteriori Preference Optimization with Prior Knowledge
Paper • 2507.21183 • Published • 14 -
MixGRPO: Unlocking Flow-based GRPO Efficiency with Mixed ODE-SDE
Paper • 2507.21802 • Published • 16 -
EDGE-GRPO: Entropy-Driven GRPO with Guided Error Correction for Advantage Diversity
Paper • 2507.21848 • Published • 8 -
Agentic Reinforced Policy Optimization
Paper • 2507.19849 • Published • 156
-
GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning
Paper • 2507.19457 • Published • 28 -
Agentic Reinforced Policy Optimization
Paper • 2507.19849 • Published • 156 -
Group Sequence Policy Optimization
Paper • 2507.18071 • Published • 309 -
Cache-to-Cache: Direct Semantic Communication Between Large Language Models
Paper • 2510.03215 • Published • 96