Chao Du
- Papers
- 44
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Authored papers
44Orient Anything V2: Unifying Orientation and Rotation Understanding
arXiv 2026
Rethinking the Trust Region in LLM Reinforcement Learning
arXiv 2026
VerlTool: Towards Holistic Agentic Reinforcement Learning with Tool Use
arXiv 2025
UFO2: The Desktop AgentOS
arXiv 2025
Understanding R1-Zero-Like Training: A Critical Perspective
arXiv 2025
NoisyRollout: Reinforcing Visual Reasoning with Data Augmentation
arXiv 2025
Optimizing Anytime Reasoning via Budget Relative Policy Optimization
arXiv 2025
FlowReasoner: Reinforcing Query-Level Meta-Agents
arXiv 2025
Adversarial Attacks against Closed-Source MLLMs via Feature Optimal Alignment
arXiv 2025
QuickVideo: Real-Time Long Video Understanding with System Algorithm Co-Design
arXiv 2025
Sailor2: Sailing in South-East Asia with Inclusive Multilingual LLMs
arXiv 2025
Variational Reasoning for Language Models
arXiv 2025
Language Models Can Learn from Verbal Feedback Without Scalar Rewards
arXiv 2025
Reinforcing General Reasoning without Verifiers
arXiv 2025
Fostering Video Reasoning via Next-Event Prediction
arXiv 2025
Diffusion Language Models are Super Data Learners
arXiv 2025
Defeating the Training-Inference Mismatch via FP16
arXiv 2025
Lifelong Safety Alignment for Language Models
arXiv 2025
When Attention Sink Emerges in Language Models: An Empirical View
arXiv 2024
Sample-Efficient Alignment for LLMs
arXiv 2024
Scaling up Masked Diffusion Models on Text
arXiv 2024
Improved Techniques for Optimization-Based Jailbreaking on Large Language Models
arXiv 2024
When Precision Meets Position: BFloat16 Breaks Down RoPE in Long-Context Training
arXiv 2024
Weak-to-Strong Jailbreaking on Large Language Models
arXiv 2024
Improving Long-Text Alignment for Text-to-Image Diffusion Models
arXiv 2024
SimLayerKV: A Simple Framework for Layer-Level KV Cache Reduction
arXiv 2024
Bootstrapping Language Models with DPO Implicit Rewards
arXiv 2024
Orient Anything: Learning Robust Object Orientation Estimation from Rendering 3D Models
arXiv 2024
Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs
arXiv 2024
Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fast
arXiv 2024
Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates
arXiv 2024
TaskWeaver: A Code-First Agent Framework
arXiv 2023
LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
arXiv 2023
On Evaluating Adversarial Robustness of Large Vision-Language Models
NeurIPS 2023 11
Efficient Diffusion Policies for Offline Reinforcement Learning
efficient-diffusion-policies-for-offline
Finetuning Text-to-Image Diffusion Models for Fairness
arXiv 2023
Bag of Tricks for Training Data Extraction from Language Models
arXiv 2023
Intriguing Properties of Data Attribution on Diffusion Models
arXiv 2023
BAFFLE: A Baseline of Backpropagation-Free Federated Learning
arXiv 2023
Nonparametric Generative Modeling with Conditional Sliced-Wasserstein Flows
arXiv 2023
A Recipe for Watermarking Diffusion Models
arXiv 2023
Better Diffusion Models Further Improve Adversarial Training
arXiv 2023
On Calibrating Diffusion Probabilistic Models
on-calibrating-diffusion-probabilistic-models
Exploring Model Dynamics for Accumulative Poisoning Discovery
arXiv 2023
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