STEPQuant: When and Where Errors Matter in Delta-Rule Recurrent State Quantization Paper • 2609.38169 • Published 16 days ago • 131
DiffGate: Difficulty-Gated Teacher Guidance for On-Policy Distillation Paper • 2610.04596 • Published 12 days ago • 21
Selection-Based Structured Reasoning: Toward Efficient Multimodal Search Agents Paper • 2610.01892 • Published 14 days ago • 38
LoGRA: Scaling LLM Reinforcement Learning with Low-Rank Gradient Sketches Paper • 2610.06647 • Published 10 days ago • 152
The Missing Primitive: Diagnosing and Repairing Mathematical Reasoning in Large Language Models Paper • 2610.02191 • Published 14 days ago • 16
Beyond the Timeline: Augmenting Long-Video Memory with Grounded Entity Biographies Paper • 2609.38155 • Published 16 days ago • 116
AutoRef: Harness Optimization for Agentic Multi-Reference Image Generation Paper • 2609.35530 • Published 17 days ago • 23
Learning Beyond What You Sample: Off-Policy-Aware Cross-Model Trajectory Exchange for RLVR Paper • 2609.37868 • Published 16 days ago • 65
What Makes World Action Models Generalize? An Empirical Study of Test-Time Future Modeling Paper • 2609.34981 • Published 16 days ago • 139
QwenGyre: An Elastic Reinforcement Learning Framework for Training xLong-Horizon Agents Paper • 2609.33848 • Published 18 days ago • 49
In-Flight KV Cache with Clean Anchors for Faster Autoregressive Video Diffusion Paper • 2609.32540 • Published 19 days ago • 35
OmniEcho: Spatial Audio Understanding for Embodied Agents Paper • 2609.23407 • Published 25 days ago • 35
PackLab: A Comprehensive Framework for Developing, Training, and Evaluating MLLMs in Robotic Bin Packing Paper • 2609.23784 • Published 25 days ago • 16
LatentPort: Beyond KV Cache - Cross-Model Transfer of Recurrent Memory in Hybrid Language Models: A 4B-to-9B Hybrid-State Handoff Without Target Prefix Replay Paper • 2609.25053 • Published Sep 7 • 17
RetireOPD: Self-Retiring On-Policy Distillation for Agentic Reinforcement Learning Paper • 2609.20784 • Published 28 days ago • 58
Region-Level Policy Optimization for Fine-grained MLLM Perception Paper • 2609.19745 • Published 28 days ago • 41
PACT: Can Enterprise AI Assistants Be Trusted Under Pressure? Paper • 2609.18605 • Published 29 days ago • 41