Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters
Paper
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2408.03314
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Published
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64
Research Papers
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TAG: A Decentralized Framework for Multi-Agent Hierarchical Reinforcement Learning
Paper • 2502.15425 • Published • 9 -
EgoLife: Towards Egocentric Life Assistant
Paper • 2503.03803 • Published • 45 -
Visual-RFT: Visual Reinforcement Fine-Tuning
Paper • 2503.01785 • Published • 80 -
AlphaMaze: Enhancing Large Language Models' Spatial Intelligence via GRPO
Paper • 2502.14669 • Published • 14 -
Qwen2.5-Omni Technical Report
Paper • 2503.20215 • Published • 165 -
Husky: A Unified, Open-Source Language Agent for Multi-Step Reasoning
Paper • 2406.06469 • Published • 30 -
Cognitive Kernel: An Open-source Agent System towards Generalist Autopilots
Paper • 2409.10277 • Published • 1 -
ByteDance-Seed/UI-TARS-1.5-7B
Image-Text-to-Text • 8B • Updated • 94.7k • 334 -
Magma: A Foundation Model for Multimodal AI Agents
Paper • 2502.13130 • Published • 58 -
Breaking the Modality Barrier: Universal Embedding Learning with Multimodal LLMs
Paper • 2504.17432 • Published • 39 -
togethercomputer/StripedHyena-Nous-7B
Text Generation • 8B • Updated • 168 • 141 -
ARM: Adaptive Reasoning Model
Paper • 2505.20258 • Published • 44 -
SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics
Paper • 2506.01844 • Published • 122 -
ATLAS: Learning to Optimally Memorize the Context at Test Time
Paper • 2505.23735 • Published • 23 -
Being-H0: Vision-Language-Action Pretraining from Large-Scale Human Videos
Paper • 2507.15597 • Published • 33