Lichao Sun

26

Papers

456

Total Citations

Papers (26)

LLaVA-CoT: Let Vision Language Models Reason Step-by-Step

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

DataGen: Unified Synthetic Dataset Generation via Large Language Models

Stable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise

Physical Backdoor: Towards Temperature-based Backdoor Attacks in the Physical World

BadVLA: Towards Backdoor Attacks on Vision-Language-Action Models via Objective-Decoupled Optimization

BadToken: Token-level Backdoor Attacks to Multi-modal Large Language Models

First SFT, Second RL, Third UPT: Continual Improving Multi-Modal LLM Reasoning via Unsupervised Post-Training

XAttnMark: Learning Robust Audio Watermarking with Cross-Attention

TruthPrInt: Mitigating Large Vision-Language Models Object Hallucination Via Latent Truthful-Guided Pre-Intervention

ACT-Diffusion: Efficient Adversarial Consistency Training for One-step Diffusion Models

MetaCloak: Preventing Unauthorized Subject-driven Text-to-image Diffusion-based Synthesis via Meta-learning

Improving Interpretation Faithfulness for Vision Transformers

In-Context Decision Transformer: Reinforcement Learning via Hierarchical Chain-of-Thought

MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language Benchmark

Position: TrustLLM: Trustworthiness in Large Language Models

Benchmarking and Analyzing Robust Point Cloud Recognition: Bag of Tricks for Defending Adversarial Examples

Can LLMs Correct Themselves? A Benchmark of Self-Correction in LLMs

Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning

Revisiting Gradient Pruning: A Dual Realization for Defending against Gradient Attacks

Subgraph Federated Learning with Missing Neighbor Generation

Distributional Reward Estimation for Effective Multi-agent Deep Reinforcement Learning

BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs

A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking

Learning Generalizable Agents via Saliency-guided Features Decorrelation

Scalable Fair Influence Maximization