Yuriy Nevmyvaka

Improving Reasoning for Diffusion Language Models via Group Diffusion Policy Optimization

Speculative Sampling for Parametric Temporal Point Processes

Chart-RVR: Reinforcement Learning with Verifiable Rewards for Explainable Chart Reasoning

Learning To Acquire Resources in Competition

Can't hide behind the frame:  Disentangling goal & framing for detecting LLM jailbreaks

Reinforcing Multi-Turn Reasoning in LLM Agents via Turn-Level Reward Design

Understanding the Mixture-of-Experts with Nadaraya-Watson Kernel

Breaking the $n^{1.5}$ Additive Error Barrier for Private and Efficient Graph Sparsification via Private Expander Decomposition

Privacy Amplification by Structured Subsampling for Deep Differentially Private Time Series Forecasting

Differentially Private Gomory-Hu Trees

TS-RAG: Retrieval-Augmented Generation based Time Series Foundation Models are Stronger Zero-Shot Forecaster

TS-RAG: Retrieval-Augmented Generation based Time Series Foundation Models are Stronger Zero-Shot Forecaster

Structural Knowledge Informed Continual Learning for Multivariate Time Series Forecasting

Clustering and Entity Matching via Language Model Community Detection