AutoData: A Multi-Agent System for Open Web Data Collection


Improving Data Efficiency for LLM Reinforcement Fine-tuning Through Difficulty-targeted Online Data Selection and Rollout Replay


Scaling Up Active Testing to Large Language Models


Structured Reinforcement Learning for Combinatorial Decision-Making


Joint Hierarchical Representation Learning of Samples and Features via Informed Tree-Wasserstein Distance


TRIDENT: Tri-Modal Molecular Representation Learning with Taxonomic Annotations and Local Correspondence


Think-RM: Enabling Long-Horizon Reasoning in Generative Reward Models


MetaGS: A Meta-Learned Gaussian-Phong Model for Out-of-Distribution 3D Scene Relighting


Differentiable Cyclic Causal Discovery Under Unmeasured Confounders


Latent Policy Barrier: Learning Robust Visuomotor Policies by Staying In-Distribution


LangSplatV2: High-dimensional 3D Language Gaussian Splatting with 450+   FPS


Minimax Adaptive Online Nonparametric Regression over Besov spaces


Curriculum Abductive Learning


DSAS: A Universal Plug-and-Play Framework for Attention Optimization in Multi-Document Question Answering


Statistical inference for Linear Stochastic Approximation with Markovian Noise


LoRA vs Full Fine-tuning: An Illusion of Equivalence


Valid Selection among Conformal Sets


Clip-and-Verify: Linear Constraint-Driven Domain Clipping for Accelerating Neural Network Verification


Pixel-Perfect Depth with Semantics-Prompted Diffusion Transformers


Optimal Spectral Transitions in High-Dimensional Multi-Index Models


Rare Text Semantics Were Always There in Your Diffusion Transformer