Chao Du

Error Analyses of Auto-Regressive Video Diffusion Models JMLR 2026 LongSpec: Long-Context Lossless Speculative Decoding with Efficient Drafting and Verification ACL 2026 A Closer Look at Machine Unlearning for Large Language Models ICLR 2025 AXIS: Efficient Human-Agent-Computer Interaction with API-First LLM-Based Agents ACL 2025 BanditSpec: Adaptive Speculative Decoding via Bandit Algorithms ICML 2025 Bootstrapping Language Models with DPO Implicit Rewards ICLR 2025 Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates ICLR 2025 Continual Reinforcement Learning by Planning with Online World Models ICML 2025 Improved Techniques for Optimization-Based Jailbreaking on Large Language Models ICLR 2025 Improving Long-Text Alignment for Text-to-Image Diffusion Models ICLR 2025 Improving Your Model Ranking on Chatbot Arena by Vote Rigging ICML 2025 Meta-Unlearning on Diffusion Models: Preventing Relearning Unlearned Concepts ICCV 2025 Orient Anything: Learning Robust Object Orientation Estimation from Rendering 3D Models ICML 2025 Revisiting Backdoor Attacks against Large Vision-Language Models from Domain Shift CVPR 2025 Scaling up Masked Diffusion Models on Text ICLR 2025 Weak-to-Strong Jailbreaking on Large Language Models ICML 2025 When Attention Sink Emerges in Language Models: An Empirical View ICLR 2025 Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fast ICML 2024 BAFFLE: A Baseline of Backpropagation-Free Federated Learning ECCV 2024 Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs NeurIPS 2024 Finetuning Text-to-Image Diffusion Models for Fairness ICLR 2024 Graph Diffusion Policy Optimization NeurIPS 2024 Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses NeurIPS 2024 Intriguing Properties of Data Attribution on Diffusion Models ICLR 2024 Locality Sensitive Sparse Encoding for Learning World Models Online ICLR 2024 Bag of Tricks for Training Data Extraction from Language Models ICML 2023 Better Diffusion Models Further Improve Adversarial Training ICML 2023 Efficient Diffusion Policies For Offline Reinforcement Learning NeurIPS 2023 Exploring Incompatible Knowledge Transfer in Few-Shot Image Generation CVPR 2023 Exploring Model Dynamics for Accumulative Poisoning Discovery ICML 2023 Gaussian Mixture Solvers for Diffusion Models NeurIPS 2023 Nonparametric Generative Modeling with Conditional Sliced-Wasserstein Flows ICML 2023 On Calibrating Diffusion Probabilistic Models NeurIPS 2023 On Evaluating Adversarial Robustness of Large Vision-Language Models NeurIPS 2023 A Bayesian Approach for Subset Selection in Contextual Bandits AAAI 2021 Correlation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems AAAI 2021 PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector AAAI 2021 Rethinking Softmax Cross-Entropy Loss for Adversarial Robustness ICLR 2020 To Relieve Your Headache of Training an MRF, Take AdVIL ICLR 2020 Improving Adversarial Robustness via Promoting Ensemble Diversity ICML 2019 Max-Mahalanobis Linear Discriminant Analysis Networks ICML 2018 Towards Robust Detection of Adversarial Examples NeurIPS 2018 Interactive Visual Hull Refinement for Specular and Transparent Object Surface Reconstruction ICCV 2015 Composite Quantization for Approximate Nearest Neighbor Search ICML 2014