Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters Paper • 2408.03314 • Published Aug 6, 2024 • 67
TAG: A Decentralized Framework for Multi-Agent Hierarchical Reinforcement Learning Paper • 2502.15425 • Published Feb 21, 2025 • 9
AlphaMaze: Enhancing Large Language Models' Spatial Intelligence via GRPO Paper • 2502.14669 • Published Feb 20, 2025 • 15
Husky: A Unified, Open-Source Language Agent for Multi-Step Reasoning Paper • 2406.06469 • Published Jun 10, 2024 • 29
Cognitive Kernel: An Open-source Agent System towards Generalist Autopilots Paper • 2409.10277 • Published Sep 16, 2024 • 1
Breaking the Modality Barrier: Universal Embedding Learning with Multimodal LLMs Paper • 2504.17432 • Published Apr 24, 2025 • 41
SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics Paper • 2506.01844 • Published Jun 2, 2025 • 165
ATLAS: Learning to Optimally Memorize the Context at Test Time Paper • 2505.23735 • Published May 29, 2025 • 23
Being-H0: Vision-Language-Action Pretraining from Large-Scale Human Videos Paper • 2507.15597 • Published Jul 21, 2025 • 34
Beyond the Exploration-Exploitation Trade-off: A Hidden State Approach for LLM Reasoning in RLVR Paper • 2509.23808 • Published Sep 28, 2025 • 47
Reactive Transformer (RxT) -- Stateful Real-Time Processing for Event-Driven Reactive Language Models Paper • 2510.03561 • Published Oct 3, 2025 • 25
Less is More: Recursive Reasoning with Tiny Networks Paper • 2510.04871 • Published Oct 6, 2025 • 519
MMaDA-Parallel: Multimodal Large Diffusion Language Models for Thinking-Aware Editing and Generation Paper • 2511.09611 • Published Nov 12, 2025 • 72
UnSAMv2: Self-Supervised Learning Enables Segment Anything at Any Granularity Paper • 2511.13714 • Published Nov 17, 2025 • 13
Agent-R1: Training Powerful LLM Agents with End-to-End Reinforcement Learning Paper • 2511.14460 • Published Nov 18, 2025 • 22