Han Li

GoR: A Unified and Extensible Generative Framework for Ordinal Regression

Denoising Neural Reranker for Recommender Systems

ALM-MTA: Front-Door Causal Multi-Touch Attribution Method for Creator-Ecosystem Optimization

GoalRank: Group-Relative Optimization for a Large Ranking Model

OneSearch: A Preliminary Exploration of the Unified End-to-End Generative Framework for E-commerce Search

CORE: Discovering Intrinsic Ranking Preferences in LLMs via Consistent Ego-Correction

ReDeEP: Detecting Hallucination in Retrieval-Augmented Generation via Mechanistic Interpretability

Who You Are Matters: Bridging Interests and Social Roles via LLM-Enhanced Logic Recommendation

Fading to Grow: Growing Preference Ratios via Preference Fading Discrete Diffusion for Recommendation

RecFlow: An Industrial Full Flow Recommendation Dataset

Making Transformer Decoders Better Differentiable Indexers

Learning Time-Aware Causal Representation for Model Generalization in Evolving Domains

Multi-Epoch Learning with Data Augmentation for Deep Click-Through Rate Prediction