Yitao Liang

Unified Cross-Scale 3D Generation and Understanding via Autoregressive Modeling

Can Language Models Discover Scaling Laws?

Inference-time scaling of diffusion models through classical search

OpenHA: A Series of Open-Source Hierarchical Agentic Models in Minecraft

TOWARD MEMORY-AIDED WORLD MODELS: BENCHMARKING VIA SPATIAL CONSISTENCY

UniCode: A Framework for Generating High-Quality Competitive Coding Problems

SciDA: Scientific Dynamic Assessor of LLMs

DeepHA: Scaling Action Chains Elicits Deep Hierarchical Agents

MCU: An Evaluation Framework for Open-Ended Game Agents

Plug-and-Play Context Feature Reuse for Efficient Masked Generation

Tractable Transformers for Flexible Conditional Generation

TFG-Flow: Training-free Guidance in Multimodal Generative Flow

Low-Dimension-to-High-Dimension Generalization and Its Implications for Length Generalization

GROOT-2: Weakly Supervised Multimodal Instruction Following Agents

Optimizing Latent Goal by Learning from Trajectory Preference

Low-Dimension-to-High-Dimension Generalization and Its Implications for Length Generalization

QCircuitNet: A Large-Scale Hierarchical Dataset for Quantum Algorithm Design

Optimizing Inference-Time Reasoning in LLMs via Retrieval-Augmented Reflection

Towards Evaluating Generalist Agents: An Automated Benchmark in Open World

Training Open-ended Policies to follow Video-prompt Instructions with Reinforcement Learning