Xiangnan He

Quantile Advantage Estimation: Stabilizing RLVR for LLM Reasoning

DualEdit: Mitigating Safety Fallback in LLM Backdoor Editing via Affirmation-Refusal Regulation

GuardAlign: Test-time Safety Alignment in Multimodal Large Language Models

Beyond Magnitude: Leveraging Direction of RLVR Updates for LLM Reasoning

PEA-DPO: Perception-Enhanced Alignment Direct Preference Optimization for MLLMs Alignment

Efficient Multi-Agent System Training with Data Influence-Oriented Tree Search

Reinforced Latent Reasoning for LLM-based Recommendation

Think-While-Generating: On-the-Fly Reasoning for Personalized Long-Form Generation

Contrastive Weak-to-Strong Generalization

Look Carefully: Adaptive Visual Reinforcements in Multimodal Large Language Models for Hallucination Mitigation

bi-GRPO: Bidirectional Optimization for Jailbreak Backdoor Injection on LLMs

Enhancing Multi-Modal LLMs Reasoning via Difficulty-Aware Group Normalization

Enhancing Multimodal LLMs Reasoning via Perception Reward Modeling

MLLMEraser: Achieving Test-Time Unlearning in Multimodal Large Language Models through Activation Steering

SINGER: Leveraging Semantic Identifier Hierarchies for Generative Recommendation

SeViCES: Unifying Semantic-Visual Evidence Consensus for Long Video Understanding

Bridging Perception and Reasoning: Token Reweighting for RLVR in Multimodal LLMs

AnyEdit: Edit Any Knowledge Encoded in Language Models

AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models

Less is More: Improving LLM Alignment via Preference Data Selection

DAMA: Data- and Model-aware Alignment of Multi-modal LLMs

Unified Parameter-Efficient Unlearning for LLMs

Uncertainty-aware Guided Diffusion for Missing Data in Sequential Recommendation

RePO: Understanding Preference Learning Through ReLU-Based Optimization

Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization

Larger or Smaller Reward Margins to Select Preferences for LLM Alignment?

$\alpha$-DPO: Adaptive Reward Margin is What Direct Preference Optimization Needs

AlphaDPO: Adaptive Reward Margin for Direct Preference Optimization