Yue Yu

papers

1,077

total citations

papers (23)

ToolQA: A Dataset for LLM Question Answering with External Tools

NEURIPS 2023arXiv

346

citations

Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias

NEURIPS 2023arXiv

324

citations

At Which Training Stage Does Code Data Help LLMs Reasoning?

ICLR 2024arXiv

citations

DAGs with No Fears: A Closer Look at Continuous Optimization for Learning Bayesian Networks

NEURIPS 2020arXiv

citations

Domain Agnostic Fourier Neural Operators

NEURIPS 2023arXiv

citations

Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms

NEURIPS 2023arXiv

citations

GUI-World: A Video Benchmark and Dataset for Multimodal GUI-oriented Understanding

ICLR 2025arXiv

citations

MagicQuill: An Intelligent Interactive Image Editing System

CVPR 2025arXiv

citations

Few-Shot Character Understanding in Movies as an Assessment to Meta-Learning of Theory-of-Mind

ICML 2024arXiv

citations

Harnessing the Power of Neural Operators with Automatically Encoded Conservation Laws

ICML 2024arXiv

citations

Open Visual Knowledge Extraction via Relation-Oriented Multimodality Model Prompting

NEURIPS 2023arXiv

citations

4D Visual Pre-training for Robot Learning

ICCV 2025arXiv

citations

Correcting Large Language Model Behavior via Influence Function

AAAI 2025arXiv

citations

Effective Causal Discovery under Identifiable Heteroscedastic Noise Model

AAAI 2024arXiv

citations

FaceA-Net: Facial Attribute-Driven ID Preserving Image Generation Network

AAAI 2025

citations

Centrality-guided Pre-training for Graph

ICLR 2025

citations

Birder: Communication-Efficient 1-bit Adaptive Optimizer for Practical Distributed DNN Training

NEURIPS 2023

citations

Diverse Learner: Exploring Diverse Supervision for Semi-Supervised Object Detection

ECCV 2022

citations

Causally Motivated Personalized Federated Invariant Learning with Shortcut-Averse Information-Theoretic Regularization

ICML 2024

citations

Easing Concept Bleeding in Diffusion via Entity Localization and Anchoring

ICML 2024

citations

Yue Yu

papers (23)

ToolQA: A Dataset for LLM Question Answering with External Tools

Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias

At Which Training Stage Does Code Data Help LLMs Reasoning?

DAGs with No Fears: A Closer Look at Continuous Optimization for Learning Bayesian Networks

Domain Agnostic Fourier Neural Operators

Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms

GUI-World: A Video Benchmark and Dataset for Multimodal GUI-oriented Understanding

MagicQuill: An Intelligent Interactive Image Editing System

Few-Shot Character Understanding in Movies as an Assessment to Meta-Learning of Theory-of-Mind

Harnessing the Power of Neural Operators with Automatically Encoded Conservation Laws

Provable Training for Graph Contrastive Learning

Towards Fair Graph Federated Learning via Incentive Mechanisms

Dynamic Typography: Bringing Text to Life via Video Diffusion Prior

Open Visual Knowledge Extraction via Relation-Oriented Multimodality Model Prompting

4D Visual Pre-training for Robot Learning

Correcting Large Language Model Behavior via Influence Function

Effective Causal Discovery under Identifiable Heteroscedastic Noise Model

FaceA-Net: Facial Attribute-Driven ID Preserving Image Generation Network

Centrality-guided Pre-training for Graph

Birder: Communication-Efficient 1-bit Adaptive Optimizer for Practical Distributed DNN Training

Diverse Learner: Exploring Diverse Supervision for Semi-Supervised Object Detection

Causally Motivated Personalized Federated Invariant Learning with Shortcut-Averse Information-Theoretic Regularization

Easing Concept Bleeding in Diffusion via Entity Localization and Anchoring

papers (23)

ToolQA: A Dataset for LLM Question Answering with External Tools

Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias

At Which Training Stage Does Code Data Help LLMs Reasoning?

DAGs with No Fears: A Closer Look at Continuous Optimization for Learning Bayesian Networks

Domain Agnostic Fourier Neural Operators

Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms

GUI-World: A Video Benchmark and Dataset for Multimodal GUI-oriented Understanding

MagicQuill: An Intelligent Interactive Image Editing System

Few-Shot Character Understanding in Movies as an Assessment to Meta-Learning of Theory-of-Mind

Harnessing the Power of Neural Operators with Automatically Encoded Conservation Laws

Provable Training for Graph Contrastive Learning

Towards Fair Graph Federated Learning via Incentive Mechanisms

Dynamic Typography: Bringing Text to Life via Video Diffusion Prior

Open Visual Knowledge Extraction via Relation-Oriented Multimodality Model Prompting

4D Visual Pre-training for Robot Learning

Correcting Large Language Model Behavior via Influence Function

Effective Causal Discovery under Identifiable Heteroscedastic Noise Model

FaceA-Net: Facial Attribute-Driven ID Preserving Image Generation Network

Centrality-guided Pre-training for Graph

Birder: Communication-Efficient 1-bit Adaptive Optimizer for Practical Distributed DNN Training

Diverse Learner: Exploring Diverse Supervision for Semi-Supervised Object Detection

Causally Motivated Personalized Federated Invariant Learning with Shortcut-Averse Information-Theoretic Regularization

Easing Concept Bleeding in Diffusion via Entity Localization and Anchoring