Quanquan Gu
- Papers
- 22
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Authored papers
22Deep Delta Learning
arXiv 2026
Tensor Product Attention Is All You Need
arXiv 2025
On the Design of KL-Regularized Policy Gradient Algorithms for LLM Reasoning
arXiv 2025
MARS-M: When Variance Reduction Meets Matrices
arXiv 2025
Group Representational Position Encoding
arXiv 2025
Higher-order Linear Attention
arXiv 2025
TrustLLM: Trustworthiness in Large Language Models
arXiv 2024
Diffusion Language Models Are Versatile Protein Learners
arXiv 2024
General Preference Modeling with Preference Representations for Aligning Language Models
arXiv 2024
MARS: Unleashing the Power of Variance Reduction for Training Large Models
arXiv 2024
Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models
arXiv 2024
Self-Play Preference Optimization for Language Model Alignment
arXiv 2024
Enhancing Large Vision Language Models with Self-Training on Image Comprehension
arXiv 2024
Mitigating Object Hallucination in Large Vision-Language Models via Classifier-Free Guidance
arXiv 2024
CryoFM: A Flow-based Foundation Model for Cryo-EM Densities
arXiv 2024
Structure-informed Language Models Are Protein Designers
arXiv 2023
Personalized Federated Learning under Mixture of Distributions
arXiv 2023
Variance-Aware Regret Bounds for Stochastic Contextual Dueling Bandits
arXiv 2023
Rephrase and Respond: Let Large Language Models Ask Better Questions for Themselves
arXiv 2023
Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning
arXiv 2023
Towards Understanding Mixture of Experts in Deep Learning
arXiv 2022
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks
NeurIPS 2021 12
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