AI Native Foundation

Stable Audio 3

2026-05-21

OCTOPUS: Optimized KV Cache for Transformers via Octahedral Parametrization Under optimal Squared error quantization

2026-05-21

Stitched Value Model for Diffusion Alignment

2026-05-21

MOCHA: Multi-Objective Chebyshev Annealing for Agent Skill Optimization

2026-05-21

Learning from Language Feedback via Variational Policy Distillation

2026-05-21

PanoWorld: A Generative Spatial World Model for Consistent Whole-House Panorama Synthesis

2026-05-21

The Unlearnability Phenomenon in RLVR for Language Models

2026-05-21

Conditional Equivalence of DPO and RLHF: Implicit Assumption, Failure Modes, and Provable Alignment

2026-05-21

SpecBench: Measuring Reward Hacking in Long-Horizon Coding Agents

2026-05-21

Mem-π: Adaptive Memory through Learning When and What to Generate

2026-05-21

UniT: Unified Geometry Learning with Group Autoregressive Transformer

2026-05-21

MINTEval: Evaluating Memory under Multi-Target Interference in Long-Horizon Agent Systems

2026-05-21

SaaSBench: Exploring the Boundaries of Coding Agents in Long-Horizon Enterprise SaaS Engineering

2026-05-21

PlanningBench: Generating Scalable and Verifiable Planning Data for Evaluating and Training Large Language Models

2026-05-21

Learn-by-Wire Training Control Governance: Bounded Autonomous Training Under Stress for Stability and Efficiency

2026-05-21

Safety Alignment as Continual Learning: Mitigating the Alignment Tax via Orthogonal Gradient Projection

2026-05-21

iTryOn: Mastering Interactive Video Virtual Try-On with Spatial-Semantic Guidance

2026-05-21

DrawMotion: Generating 3D Human Motions by Freehand Drawing

2026-05-21

Rethinking Visual Attribution for Chest X-ray Reasoning in Large Vision Language Models

2026-05-21

TIDE: Efficient and Lossless MoE Diffusion LLM Inference with I/O-aware Expert Offload

2026-05-21

HF Papers

Stable Audio 3

OCTOPUS: Optimized KV Cache for Transformers via Octahedral Parametrization Under optimal Squared error quantization

Stitched Value Model for Diffusion Alignment

MOCHA: Multi-Objective Chebyshev Annealing for Agent Skill Optimization

Learning from Language Feedback via Variational Policy Distillation

PanoWorld: A Generative Spatial World Model for Consistent Whole-House Panorama Synthesis

The Unlearnability Phenomenon in RLVR for Language Models

Conditional Equivalence of DPO and RLHF: Implicit Assumption, Failure Modes, and Provable Alignment

SpecBench: Measuring Reward Hacking in Long-Horizon Coding Agents

Mem-π: Adaptive Memory through Learning When and What to Generate

UniT: Unified Geometry Learning with Group Autoregressive Transformer

MINTEval: Evaluating Memory under Multi-Target Interference in Long-Horizon Agent Systems

SaaSBench: Exploring the Boundaries of Coding Agents in Long-Horizon Enterprise SaaS Engineering

PlanningBench: Generating Scalable and Verifiable Planning Data for Evaluating and Training Large Language Models

Learn-by-Wire Training Control Governance: Bounded Autonomous Training Under Stress for Stability and Efficiency

Safety Alignment as Continual Learning: Mitigating the Alignment Tax via Orthogonal Gradient Projection

iTryOn: Mastering Interactive Video Virtual Try-On with Spatial-Semantic Guidance

DrawMotion: Generating 3D Human Motions by Freehand Drawing

Rethinking Visual Attribution for Chest X-ray Reasoning in Large Vision Language Models

TIDE: Efficient and Lossless MoE Diffusion LLM Inference with I/O-aware Expert Offload

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