WorldVLA: Towards Autoregressive Action World Model
Paper • 2506.21539 • Published • 40
Papers
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Fast and Simplex: 2-Simplicial Attention in Triton
Paper • 2507.02754 • Published • 25 -
IntFold: A Controllable Foundation Model for General and Specialized Biomolecular Structure Prediction
Paper • 2507.02025 • Published • 36 -
Thinking Beyond Tokens: From Brain-Inspired Intelligence to Cognitive Foundations for Artificial General Intelligence and its Societal Impact
Paper • 2507.00951 • Published • 24 -
GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning
Paper • 2507.01006 • Published • 257 -
Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning
Paper • 2507.00432 • Published • 79 -
CriticLean: Critic-Guided Reinforcement Learning for Mathematical Formalization
Paper • 2507.06181 • Published • 45 -
MiroMind-M1: An Open-Source Advancement in Mathematical Reasoning via Context-Aware Multi-Stage Policy Optimization
Paper • 2507.14683 • Published • 137 -
A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems
Paper • 2508.07407 • Published • 99 -
MoBE: Mixture-of-Basis-Experts for Compressing MoE-based LLMs
Paper • 2508.05257 • Published • 13 -
Grove MoE: Towards Efficient and Superior MoE LLMs with Adjugate Experts
Paper • 2508.07785 • Published • 30 -
rStar2-Agent: Agentic Reasoning Technical Report
Paper • 2508.20722 • Published • 120 -
Think in Games: Learning to Reason in Games via Reinforcement Learning with Large Language Models
Paper • 2508.21365 • Published • 29 -
Less is More: Recursive Reasoning with Tiny Networks
Paper • 2510.04871 • Published • 517 -
Diffusion Transformers with Representation Autoencoders
Paper • 2510.11690 • Published • 171 -
Agent Learning via Early Experience
Paper • 2510.08558 • Published • 276 -
Demystifying Reinforcement Learning in Agentic Reasoning
Paper • 2510.11701 • Published • 33 -
ERA: Transforming VLMs into Embodied Agents via Embodied Prior Learning and Online Reinforcement Learning
Paper • 2510.12693 • Published • 28 -
Information Gain-based Policy Optimization: A Simple and Effective Approach for Multi-Turn LLM Agents
Paper • 2510.14967 • Published • 34 -
Every Step Evolves: Scaling Reinforcement Learning for Trillion-Scale Thinking Model
Paper • 2510.18855 • Published • 73 -
LoongRL:Reinforcement Learning for Advanced Reasoning over Long Contexts
Paper • 2510.19363 • Published • 63 -
MathSE: Improving Multimodal Mathematical Reasoning via Self-Evolving Iterative Reflection and Reward-Guided Fine-Tuning
Paper • 2511.06805 • Published • 13 -
DiffCoT: Diffusion-styled Chain-of-Thought Reasoning in LLMs
Paper • 2601.03559 • Published • 14 -
Self-Hinting Language Models Enhance Reinforcement Learning
Paper • 2602.03143 • Published • 31 -
RLAnything: Forge Environment, Policy, and Reward Model in Completely Dynamic RL System
Paper • 2602.02488 • Published • 36 -
WideSeek-R1: Exploring Width Scaling for Broad Information Seeking via Multi-Agent Reinforcement Learning
Paper • 2602.04634 • Published • 100 -
Memory Intelligence Agent
Paper • 2604.04503 • Published • 58 -
Solvita: Enhancing Large Language Models for Competitive Programming via Agentic Evolution
Paper • 2605.15301 • Published • 22 -
Test-Time Gradient Guidance of Flow Policies in Reinforcement Learning
Paper • 2606.11087 • Published • 3 -
Nemotron 3 Ultra: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning
Paper • 2606.15007 • Published • 16 -
Reinforcement Learning with Metacognitive Feedback Elicits Faithful Uncertainty Expression in LLMs
Paper • 2606.32032 • Published • 21 -
Morphing into Hybrid Attention Models
Paper • 2606.30562 • Published • 33