NeuroAda: Activating Each Neuron's Potential for Parameter-Efficient Fine-Tuning Paper • 2510.18940 • Published Oct 21 • 8
Reinforcement Learning Foundations for Deep Research Systems: A Survey Paper • 2509.06733 • Published Sep 8 • 32
Practical and Asymptotically Exact Conditional Sampling in Diffusion Models Paper • 2306.17775 • Published Jun 30, 2023
SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations Paper • 2502.02472 • Published Feb 4
Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling Paper • 2404.12940 • Published Apr 19, 2024
DiSCo Meets LLMs: A Unified Approach for Sparse Retrieval and Contextual Distillation in Conversational Search Paper • 2410.14609 • Published Oct 18, 2024 • 1
Gradient-based Parameter Selection for Efficient Fine-Tuning Paper • 2312.10136 • Published Dec 15, 2023 • 1
Cross-modal Information Flow in Multimodal Large Language Models Paper • 2411.18620 • Published Nov 27, 2024 • 2
Proactive Gradient Conflict Mitigation in Multi-Task Learning: A Sparse Training Perspective Paper • 2411.18615 • Published Nov 27, 2024 • 1
ECON: Explicit Clothed humans Optimized via Normal integration Paper • 2212.07422 • Published Dec 14, 2022 • 1
DECO: Dense Estimation of 3D Human-Scene Contact In The Wild Paper • 2309.15273 • Published Sep 26, 2023 • 7