최신 연구 논문

Deep learning-based framework for the on-demand inverse design of metamaterials with arbitrary target band gap

PRefLexOR: preference-based recursive language modeling for exploratory optimization of reasoning and agentic thinking

Auto-Regressive vs Flow-Matching: a Comparative Study of Modeling Paradigms for Text-to-Music Generation

SeerAttention-R: Sparse Attention Adaptation for Long Reasoning

PlayerOne: Egocentric World Simulator

ComfyUI-R1: Exploring Reasoning Models for Workflow Generation

Autoregressive Adversarial Post-Training for Real-Time Interactive Video Generation

Confidence Is All You Need: Few-Shot RL Fine-Tuning of Language Models

Reinforcement Pre-Training

Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion