Xiangnan He
- Papers
- 25
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Authored papers
25AJ-Bench: Benchmarking Agent-as-a-Judge for Environment-Aware Evaluation
arXiv 2026
On the Direction of RLVR Updates for LLM Reasoning: Identification and Exploitation
arXiv 2026
AnyEdit: Edit Any Knowledge Encoded in Language Models
arXiv 2025
Large Language Models for Recommendation with Deliberative User Preference Alignment
arXiv 2025
Process-Supervised LLM Recommenders via Flow-guided Tuning
arXiv 2025
RePO: ReLU-based Preference Optimization
arXiv 2025
Multi-Grained Patch Training for Efficient LLM-based Recommendation
arXiv 2025
Less is More: Improving LLM Alignment via Preference Data Selection
arXiv 2025
Quantile Advantage Estimation for Entropy-Safe Reasoning
arXiv 2025
AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models
arXiv 2024
SPRec: Leveraging Self-Play to Debias Preference Alignment for Large Language Model-based Recommendations
arXiv 2024
$β$-DPO: Direct Preference Optimization with Dynamic $β$
arXiv 2024
Personalized Image Generation with Large Multimodal Models
arXiv 2024
Knowledge Graph Embedding by Normalizing Flows
arXiv 2024
Towards 3D Molecule-Text Interpretation in Language Models
arXiv 2024
Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization
arXiv 2024
TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation
arXiv 2023
Attack Prompt Generation for Red Teaming and Defending Large Language Models
arXiv 2023
Generative Recommendation: Towards Next-generation Recommender Paradigm
arXiv 2023
Bi-directional Distribution Alignment for Transductive Zero-Shot Learning
CVPR 2023 1
CgT-GAN: CLIP-guided Text GAN for Image Captioning
arXiv 2023
Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation
arXiv 2023
LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation
arXiv 2020
CatGCN: Graph Convolutional Networks with Categorical Node Features
arXiv 2020
KGAT: Knowledge Graph Attention Network for Recommendation
arXiv 2019
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