Lichao Sun
19
Papers
456
Total Citations
Papers (19)
LLaVA-CoT: Let Vision Language Models Reason Step-by-Step
ICCV 2025
338
citations
GUI-World: A Video Benchmark and Dataset for Multimodal GUI-oriented Understanding
ICLR 2025
23
citations
DataGen: Unified Synthetic Dataset Generation via Large Language Models
ICLR 2025
21
citations
Stable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise
AAAI 2024arXiv
16
citations
Physical Backdoor: Towards Temperature-based Backdoor Attacks in the Physical World
CVPR 2024
11
citations
BadVLA: Towards Backdoor Attacks on Vision-Language-Action Models via Objective-Decoupled Optimization
NeurIPS 2025
11
citations
BadToken: Token-level Backdoor Attacks to Multi-modal Large Language Models
CVPR 2025
9
citations
First SFT, Second RL, Third UPT: Continual Improving Multi-Modal LLM Reasoning via Unsupervised Post-Training
NeurIPS 2025
9
citations
TruthPrInt: Mitigating Large Vision-Language Models Object Hallucination Via Latent Truthful-Guided Pre-Intervention
ICCV 2025
7
citations
XAttnMark: Learning Robust Audio Watermarking with Cross-Attention
ICML 2025
7
citations
ACT-Diffusion: Efficient Adversarial Consistency Training for One-step Diffusion Models
CVPR 2024
4
citations
MetaCloak: Preventing Unauthorized Subject-driven Text-to-image Diffusion-based Synthesis via Meta-learning
CVPR 2024
0
citations
Improving Interpretation Faithfulness for Vision Transformers
ICML 2024
0
citations
In-Context Decision Transformer: Reinforcement Learning via Hierarchical Chain-of-Thought
ICML 2024
0
citations
MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language Benchmark
ICML 2024
0
citations
Can LLMs Correct Themselves? A Benchmark of Self-Correction in LLMs
NeurIPS 2025
0
citations
Position: TrustLLM: Trustworthiness in Large Language Models
ICML 2024
0
citations
Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning
NeurIPS 2025
0
citations
Revisiting Gradient Pruning: A Dual Realization for Defending against Gradient Attacks
AAAI 2024arXiv
0
citations