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Towards General Agentic Intelligence via Environment Scaling
Paper • 2509.13311 • Published • 71 -
Establishing Best Practices for Building Rigorous Agentic Benchmarks
Paper • 2507.02825 • Published • 1 -
LoongRL:Reinforcement Learning for Advanced Reasoning over Long Contexts
Paper • 2510.19363 • Published • 61 -
ProfBench: Multi-Domain Rubrics requiring Professional Knowledge to Answer and Judge
Paper • 2510.18941 • Published • 7
Collections
Discover the best community collections!
Collections including paper arxiv:2509.13311
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Towards General Agentic Intelligence via Environment Scaling
Paper • 2509.13311 • Published • 71 -
Tree Search for LLM Agent Reinforcement Learning
Paper • 2509.21240 • Published • 87 -
Knapsack RL: Unlocking Exploration of LLMs via Optimizing Budget Allocation
Paper • 2509.25849 • Published • 47 -
Attention as a Compass: Efficient Exploration for Process-Supervised RL in Reasoning Models
Paper • 2509.26628 • Published • 15
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Open Data Synthesis For Deep Research
Paper • 2509.00375 • Published • 70 -
Beyond Correctness: Harmonizing Process and Outcome Rewards through RL Training
Paper • 2509.03403 • Published • 22 -
LMEnt: A Suite for Analyzing Knowledge in Language Models from Pretraining Data to Representations
Paper • 2509.03405 • Published • 23 -
SATQuest: A Verifier for Logical Reasoning Evaluation and Reinforcement Fine-Tuning of LLMs
Paper • 2509.00930 • Published • 4
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lusxvr/nanoVLM-222M
Image-Text-to-Text • 0.2B • Updated • 518 • 98 -
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
Paper • 2503.09516 • Published • 36 -
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time
Paper • 2505.24863 • Published • 97 -
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning
Paper • 2505.17667 • Published • 88
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Agents Thinking Fast and Slow: A Talker-Reasoner Architecture
Paper • 2410.08328 • Published -
SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks
Paper • 2305.17390 • Published • 3 -
SRMT: Shared Memory for Multi-agent Lifelong Pathfinding
Paper • 2501.13200 • Published • 69 -
Talk Structurally, Act Hierarchically: A Collaborative Framework for LLM Multi-Agent Systems
Paper • 2502.11098 • Published • 13
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A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems
Paper • 2508.07407 • Published • 98 -
Agent Lightning: Train ANY AI Agents with Reinforcement Learning
Paper • 2508.03680 • Published • 121 -
WebWatcher: Breaking New Frontier of Vision-Language Deep Research Agent
Paper • 2508.05748 • Published • 140 -
Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL
Paper • 2508.13167 • Published • 129
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Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation
Paper • 2503.22675 • Published • 36 -
Exploring Data Scaling Trends and Effects in Reinforcement Learning from Human Feedback
Paper • 2503.22230 • Published • 45 -
ReSum: Unlocking Long-Horizon Search Intelligence via Context Summarization
Paper • 2509.13313 • Published • 79 -
WebResearcher: Unleashing unbounded reasoning capability in Long-Horizon Agents
Paper • 2509.13309 • Published • 67
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Revisit Large-Scale Image-Caption Data in Pre-training Multimodal Foundation Models
Paper • 2410.02740 • Published • 54 -
From Code to Correctness: Closing the Last Mile of Code Generation with Hierarchical Debugging
Paper • 2410.01215 • Published • 39 -
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models
Paper • 2409.17146 • Published • 121 -
EuroLLM: Multilingual Language Models for Europe
Paper • 2409.16235 • Published • 29
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Towards General Agentic Intelligence via Environment Scaling
Paper • 2509.13311 • Published • 71 -
Establishing Best Practices for Building Rigorous Agentic Benchmarks
Paper • 2507.02825 • Published • 1 -
LoongRL:Reinforcement Learning for Advanced Reasoning over Long Contexts
Paper • 2510.19363 • Published • 61 -
ProfBench: Multi-Domain Rubrics requiring Professional Knowledge to Answer and Judge
Paper • 2510.18941 • Published • 7
-
Towards General Agentic Intelligence via Environment Scaling
Paper • 2509.13311 • Published • 71 -
Tree Search for LLM Agent Reinforcement Learning
Paper • 2509.21240 • Published • 87 -
Knapsack RL: Unlocking Exploration of LLMs via Optimizing Budget Allocation
Paper • 2509.25849 • Published • 47 -
Attention as a Compass: Efficient Exploration for Process-Supervised RL in Reasoning Models
Paper • 2509.26628 • Published • 15
-
Open Data Synthesis For Deep Research
Paper • 2509.00375 • Published • 70 -
Beyond Correctness: Harmonizing Process and Outcome Rewards through RL Training
Paper • 2509.03403 • Published • 22 -
LMEnt: A Suite for Analyzing Knowledge in Language Models from Pretraining Data to Representations
Paper • 2509.03405 • Published • 23 -
SATQuest: A Verifier for Logical Reasoning Evaluation and Reinforcement Fine-Tuning of LLMs
Paper • 2509.00930 • Published • 4
-
A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems
Paper • 2508.07407 • Published • 98 -
Agent Lightning: Train ANY AI Agents with Reinforcement Learning
Paper • 2508.03680 • Published • 121 -
WebWatcher: Breaking New Frontier of Vision-Language Deep Research Agent
Paper • 2508.05748 • Published • 140 -
Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL
Paper • 2508.13167 • Published • 129
-
lusxvr/nanoVLM-222M
Image-Text-to-Text • 0.2B • Updated • 518 • 98 -
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
Paper • 2503.09516 • Published • 36 -
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time
Paper • 2505.24863 • Published • 97 -
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning
Paper • 2505.17667 • Published • 88
-
Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation
Paper • 2503.22675 • Published • 36 -
Exploring Data Scaling Trends and Effects in Reinforcement Learning from Human Feedback
Paper • 2503.22230 • Published • 45 -
ReSum: Unlocking Long-Horizon Search Intelligence via Context Summarization
Paper • 2509.13313 • Published • 79 -
WebResearcher: Unleashing unbounded reasoning capability in Long-Horizon Agents
Paper • 2509.13309 • Published • 67
-
Agents Thinking Fast and Slow: A Talker-Reasoner Architecture
Paper • 2410.08328 • Published -
SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks
Paper • 2305.17390 • Published • 3 -
SRMT: Shared Memory for Multi-agent Lifelong Pathfinding
Paper • 2501.13200 • Published • 69 -
Talk Structurally, Act Hierarchically: A Collaborative Framework for LLM Multi-Agent Systems
Paper • 2502.11098 • Published • 13
-
Revisit Large-Scale Image-Caption Data in Pre-training Multimodal Foundation Models
Paper • 2410.02740 • Published • 54 -
From Code to Correctness: Closing the Last Mile of Code Generation with Hierarchical Debugging
Paper • 2410.01215 • Published • 39 -
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models
Paper • 2409.17146 • Published • 121 -
EuroLLM: Multilingual Language Models for Europe
Paper • 2409.16235 • Published • 29