How Far Can Coding Agents Go in Visual Generation?
Paper • 2610.19025 • Published • 14
AI & ML interests
None defined yet.
Recent Activity
View all activity
Papers
How Far Can Coding Agents Go in Visual Generation?
ReSPO: Reshaped Sequence Policy Optimization for Gradient Starvation in Off-Policy Learning
Dolphin42
submitted a
paper to Daily Papers about 17 hours ago
YhangChen
authored 2
papers 19 days ago
YhangChen
submitted a
paper to Daily Papers 20 days ago
banyh2000
submitted a
paper to Daily Papers 20 days ago
YhangChen
authored 9
papers 30 days ago
Diffusion-based Cumulative Adversarial Purification for Vision Language Models
Paper • 2506.03933 • Published
Multi-Step Alignment as Markov Games: An Optimistic Online Gradient Descent Approach with Convergence Guarantees
Paper • 2502.12678 • Published
Membership Inference Attacks against Large Vision-Language Models
Paper • 2411.02902 • Published
Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot
Paper • 2009.11094 • Published
High-Dimensional Kernel Methods under Covariate Shift: Data-Dependent Implicit Regularization
Paper • 2406.03171 • Published
ReCAST: Reward Credit Assignment across Timesteps for Online Diffusion Reinforcement
Paper • 2609.13425 • Published • 11
Order-Preserving GFlowNets
Paper • 2310.00386 • Published
A Unifying Lens on Supervised Fine-Tuning Through Target Distribution Design
Paper • 2606.11189 • Published • 2
Generalization of Scaled Deep ResNets in the Mean-Field Regime
Paper • 2403.09889 • Published
andrewbai
authored 3
papers over 1 year ago
Defending LLMs against Jailbreaking Attacks via Backtranslation
Paper • 2402.16459 • Published • 4
An Efficient Rehearsal Scheme for Catastrophic Forgetting Mitigation during Multi-stage Fine-tuning
Paper • 2402.08096 • Published
On the Loss of Context-awareness in General Instruction Fine-tuning
Paper • 2411.02688 • Published
yihanwang617
updated a
collection almost 2 years ago