NeuroAda: Activating Each Neuron's Potential for Parameter-Efficient Fine-Tuning Paper • 2510.18940 • Published Oct 21, 2025 • 9
Reinforcement Learning Foundations for Deep Research Systems: A Survey Paper • 2509.06733 • Published Sep 8, 2025 • 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, 2025
Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling Paper • 2404.12940 • Published Apr 19, 2024
Morpheus: Benchmarking Physical Reasoning of Video Generative Models with Real Physical Experiments Paper • 2504.02918 • Published Apr 3, 2025 • 1
LLMs instead of Human Judges? A Large Scale Empirical Study across 20 NLP Evaluation Tasks Paper • 2406.18403 • Published Jun 26, 2024
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
The LAMBADA dataset: Word prediction requiring a broad discourse context Paper • 1606.06031 • Published Jun 20, 2016
Interpretable Word Sense Representations via Definition Generation: The Case of Semantic Change Analysis Paper • 2305.11993 • Published May 19, 2023
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