Yu Yao

Chain-of-Focus Prompting: Leveraging Sequential Visual Cues to Prompt Large Autoregressive Vision Models

A Robust Method to Discover Causal or Anticausal Relation

A Sample Efficient Conditional Independence Test in the Presence of Discretization

Aligning What Matters: Masked Latent Adaptation for Text-to-Audio-Video Generation

Flow: Modularized Agentic Workflow Automation

A Lens into Interpretable Transformer Mistakes via Semantic Dependency

A Conditional Independence Test in the Presence of Discretization

Can Dependencies Induced by LLM-Agent Workflows Be Trusted?

Object-aware Conditional Alignment for Cross-domain Counting

Ranked from Within: Ranking Large Multimodal Models Without Labels

Understanding Mistakes in Transformers through Token-level Semantic Dependencies

Improving Non-Transferable Representation Learning by Harnessing Content and Style

A Conditional Independence Test in the Presence of Discretization

Identifying Latent State-Transition Processes for Individualized Reinforcement Learning

Enhancing Contrastive Learning for Ordinal Regression via Ordinal Content Preserved Data Augmentation

Identifying Latent State Transition Processes for Individualized Reinforcement Learning

RoCA: A Robust Method to Discover Causal or Anticausal Relation by Noise Injection

Learning the Latent Causal Structure for Modeling Label Noise

Learning the Latent Noisy Data Generative Process for Label-Noise Learning