EvoTrainer: Co-Evolving LLM Policies and Training Harnesses for Autonomous Agentic Reinforcement Learning
Paper • 2606.03108 • Published • 10
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Embodied-R1.5: Evolving Physical Intelligence via Embodied Foundation ModelsOrganizations
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Breaking the Bubble: Asynchronous Pipeline Parallel Training with Bounded Weight Inconsistency
Paper • 2606.07881 • Published • 7
Embodied-R1.5: Evolving Physical Intelligence via Embodied Foundation Models
Paper • 2606.11324 • Published • 10
Verifiable Environments Are LEGO Bricks: Recursive Composition for Reasoning Generalization
Paper • 2606.12373 • Published • 7
World Model Self-Distillation: Training World Models to Solve General Tasks
Paper • 2606.12072 • Published • 7
POISE: Position-Aware Undetectable Skill Injection on LLM Agents
Paper • 2606.07943 • Published • 4
Fine-tuning Multi-modal LLMs with ART: Art-based Reinforcement Training
Paper • 2606.11854 • Published • 3
Distilling LLM Feedback for Lean Theorem Proving
Paper • 2605.30861 • Published • 2
FlowLet: Conditional 3D Brain MRI Synthesis using Wavelet Flow Matching
Paper • 2601.05212 • Published • 1
τ-Rec: A Verifiable Benchmark for Agentic Recommender Systems
Paper • 2606.10156 • Published • 1
DRIFT: A Residual Flow Adapter for Decoding Continuous Outputs in Vision-Language Models
Paper • 2606.05758 • Published • 5
Lius: Translation Model Based Instructional Lingustic Using Continual Instruction Tuning In Kupang Malay
Paper • 2606.11786 • Published • 2
Adaptive Multi-Resolution Procedural Knowledge Compression for Large Language Models
Paper • 2606.12203 • Published • 2
Time-Series Foundation Model Embeddings for Remaining Useful Life Estimation
Paper • 2606.11990 • Published • 3
Large Language Models Are Overconfident in Their Own Responses
Paper • 2606.03437 • Published • 3
i1: A Simple and Fully Open Recipe for Strong Text-to-Image Models
Paper • 2606.11289 • Published • 8
Reason, Then Re-reason: Cross-view Revisiting Improves Spatial Reasoning
Paper • 2606.11683 • Published • 28