Jian-Guang Lou

papers

987

total citations

papers (10)

WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct

ICLR 2025arXiv

655

citations

Compositional Generalization by Learning Analytical Expressions

NEURIPS 2020arXiv

citations

LayoutFormer++: Conditional Graphic Layout Generation via Constraint Serialization and Decoding Space Restriction

CVPR 2023arXiv

citations

LayoutDiffusion: Improving Graphic Layout Generation by Discrete Diffusion Probabilistic Models

ICCV 2023arXiv

citations

A Parse-Then-Place Approach for Generating Graphic Layouts from Textual Descriptions

ICCV 2023arXiv

citations

LogiGAN: Learning Logical Reasoning via Adversarial Pre-training

NEURIPS 2022arXiv

citations

Are Large Language Models Ready for Multi-Turn Tabular Data Analysis?

ICML 2025

citations

Jian-Guang Lou

papers (10)

WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct

Compositional Generalization by Learning Analytical Expressions

LayoutFormer++: Conditional Graphic Layout Generation via Constraint Serialization and Decoding Space Restriction

LayoutDiffusion: Improving Graphic Layout Generation by Discrete Diffusion Probabilistic Models

LayoutPrompter: Awaken the Design Ability of Large Language Models

Hierarchical Poset Decoding for Compositional Generalization in Language

Uncovering and Quantifying Social Biases in Code Generation

A Parse-Then-Place Approach for Generating Graphic Layouts from Textual Descriptions

LogiGAN: Learning Logical Reasoning via Adversarial Pre-training

Are Large Language Models Ready for Multi-Turn Tabular Data Analysis?

papers (10)

WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct

Compositional Generalization by Learning Analytical Expressions

LayoutFormer++: Conditional Graphic Layout Generation via Constraint Serialization and Decoding Space Restriction

LayoutDiffusion: Improving Graphic Layout Generation by Discrete Diffusion Probabilistic Models

LayoutPrompter: Awaken the Design Ability of Large Language Models

Hierarchical Poset Decoding for Compositional Generalization in Language

Uncovering and Quantifying Social Biases in Code Generation

A Parse-Then-Place Approach for Generating Graphic Layouts from Textual Descriptions

LogiGAN: Learning Logical Reasoning via Adversarial Pre-training

Are Large Language Models Ready for Multi-Turn Tabular Data Analysis?