Tongliang Liu
- Papers
- 34
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Authored papers
34Beyond Individual Intelligence: Surveying Collaboration, Failure Attribution, and Self-Evolution in LLM-based Multi-Agent Systems
arXiv 2026
OneWorld: Taming Scene Generation with 3D Unified Representation Autoencoder
arXiv 2026
Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems
arXiv 2025
Learning Efficient and Generalizable Graph Retriever for Knowledge-Graph Question Answering
arXiv 2025
AlphaApollo: Orchestrating Foundation Models and Professional Tools into a Self-Evolving System for Deep Agentic Reasoning
arXiv 2025
Flow: Modularized Agentic Workflow Automation
arXiv 2025
Safety at Scale: A Comprehensive Survey of Large Model Safety
arXiv 2025
Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting
arXiv 2024
DEEM: Diffusion Models Serve as the Eyes of Large Language Models for Image Perception
arXiv 2024
Negative Label Guided OOD Detection with Pretrained Vision-Language Models
arXiv 2024
Eliminating Catastrophic Overfitting Via Abnormal Adversarial Examples Regularization
eliminating-catastrophic-overfitting-via
Federated Causal Discovery from Heterogeneous Data
arXiv 2024
What If the Input is Expanded in OOD Detection?
arXiv 2024
OVGaussian: Generalizable 3D Gaussian Segmentation with Open Vocabularies
arXiv 2024
TED-VITON: Transformer-Empowered Diffusion Models for Virtual Try-On
arXiv 2024
Layer-Aware Analysis of Catastrophic Overfitting: Revealing the Pseudo-Robust Shortcut Dependency
arXiv 2024
NoiseDiffusion: Correcting Noise for Image Interpolation with Diffusion Models beyond Spherical Linear Interpolation
arXiv 2024
Can We Treat Noisy Labels as Accurate?
arXiv 2024
Robust Training of Federated Models with Extremely Label Deficiency
arXiv 2024
HumanMAC: Masked Motion Completion for Human Motion Prediction
ICCV 2023 1
DeepInception: Hypnotize Large Language Model to Be Jailbreaker
arXiv 2023
ALIP: Adaptive Language-Image Pre-training with Synthetic Caption
ICCV 2023 1
Point-Query Quadtree for Crowd Counting, Localization, and More
ICCV 2023 1
ERASE: Error-Resilient Representation Learning on Graphs for Label Noise Tolerance
arXiv 2023
Machine Vision Therapy: Multimodal Large Language Models Can Enhance Visual Robustness via Denoising In-Context Learning
arXiv 2023
On the Over-Memorization During Natural, Robust and Catastrophic Overfitting
arXiv 2023
Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability
arXiv 2023
PNT-Edge: Towards Robust Edge Detection with Noisy Labels by Learning Pixel-level Noise Transitions
arXiv 2023
Late Stopping: Avoiding Confidently Learning from Mislabeled Examples
ICCV 2023 1
Exploring Model Dynamics for Accumulative Poisoning Discovery
arXiv 2023
One-Shot Learning as Instruction Data Prospector for Large Language Models
arXiv 2023
How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary Investigation
arXiv 2023
DeepSolo: Let Transformer Decoder with Explicit Points Solo for Text Spotting
CVPR 2023 1
Robust Weight Perturbation for Adversarial Training
robust-weight-perturbation-for-adversarial
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