Haotian Wang

BaseReward: A Strong Baseline for Multimodal Reward Model

When Modalities Conflict: How Unimodal Reasoning Uncertainty Governs Preference Dynamics in MLLMs

Transformers with Endogenous In-Context Learning: Bias Characterization and Mitigation

Beyond Rational Illusion: Behaviorally Realistic Strategic Classification

OpenGPT-4o-Image: A Comprehensive Dataset for Advanced Image Generation and Editing

Identifying Outcome-Oriented Root Causes via Cross Regression

Adaptive Marginal Sensitivity with Limited RCT Data for CATE Estimation

Scalable Bayesian Active Learning with Batch Acquisition under Distribution Shift

RealUnify: Do Unified Models Truly Benefit from Unification? A Comprehensive Benchmark

Fair Out-of-Distribution Detection

Rethinking the Identification Capability of Out-of-Distribution Detection

A Unified and Data-Efficient Framework for Out-of-Distribution and Generalization

Environment Inference for Learning Generalizable Dynamical System

RoMA: Scaling up Mamba-based Foundation Models for Remote Sensing

GeoLLaVA-8K: Scaling Remote-Sensing Multimodal Large Language Models to 8K Resolution

Breaking the Gradient Barrier: Unveiling Large Language Models for Strategic Classification

Unbiased Recommender Learning from Implicit Feedback via Weakly Supervised Learning

Effective and Efficient Time-Varying Counterfactual Prediction with State-Space Models

Learning Time-shared Hidden Heterogeneity for Counterfactual Outcome Forecast

Mitigating Unobserved Confounding via Diffusion Probabilistic Models

Active Causal Learning for Conditional Average Treatment Effect Estimation