Collections
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Collections including paper arxiv:2504.20571
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Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems
Paper • 2504.01990 • Published • 272 -
InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models
Paper • 2504.10479 • Published • 252 -
What, How, Where, and How Well? A Survey on Test-Time Scaling in Large Language Models
Paper • 2503.24235 • Published • 53 -
Seedream 3.0 Technical Report
Paper • 2504.11346 • Published • 52
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I-Con: A Unifying Framework for Representation Learning
Paper • 2504.16929 • Published • 29 -
LLMs are Greedy Agents: Effects of RL Fine-tuning on Decision-Making Abilities
Paper • 2504.16078 • Published • 20 -
WALL-E 2.0: World Alignment by NeuroSymbolic Learning improves World Model-based LLM Agents
Paper • 2504.15785 • Published • 18 -
OTC: Optimal Tool Calls via Reinforcement Learning
Paper • 2504.14870 • Published • 33
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Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model
Paper • 2503.24290 • Published • 63 -
I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders
Paper • 2503.18878 • Published • 118 -
START: Self-taught Reasoner with Tools
Paper • 2503.04625 • Published • 111 -
DAPO: An Open-Source LLM Reinforcement Learning System at Scale
Paper • 2503.14476 • Published • 123
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Challenging the Boundaries of Reasoning: An Olympiad-Level Math Benchmark for Large Language Models
Paper • 2503.21380 • Published • 37 -
Video-R1: Reinforcing Video Reasoning in MLLMs
Paper • 2503.21776 • Published • 78 -
Embodied-Reasoner: Synergizing Visual Search, Reasoning, and Action for Embodied Interactive Tasks
Paper • 2503.21696 • Published • 22 -
M1: Towards Scalable Test-Time Compute with Mamba Reasoning Models
Paper • 2504.10449 • Published • 11
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Towards Self-Improving Systematic Cognition for Next-Generation Foundation MLLMs
Paper • 2503.12303 • Published • 7 -
DeepPerception: Advancing R1-like Cognitive Visual Perception in MLLMs for Knowledge-Intensive Visual Grounding
Paper • 2503.12797 • Published • 30 -
R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization
Paper • 2503.12937 • Published • 29 -
MicroVQA: A Multimodal Reasoning Benchmark for Microscopy-Based Scientific Research
Paper • 2503.13399 • Published • 21
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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 • 123 -
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?
Paper • 2504.13837 • Published • 118 -
Learning to Reason under Off-Policy Guidance
Paper • 2504.14945 • Published • 79
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Thoughts Are All Over the Place: On the Underthinking of o1-Like LLMs
Paper • 2501.18585 • Published • 61 -
RWKV-7 "Goose" with Expressive Dynamic State Evolution
Paper • 2503.14456 • Published • 147 -
DeepMesh: Auto-Regressive Artist-mesh Creation with Reinforcement Learning
Paper • 2503.15265 • Published • 47 -
Cosmos-Reason1: From Physical Common Sense To Embodied Reasoning
Paper • 2503.15558 • Published • 46