Rui Zhang

Batch Speculative Decoding Done Right

When Reasoning Meets Compression: Understanding the Effects of LLMs Compression on Large Reasoning Models

Generalizable Process Reward Models via Formally Verified Training Data

SiReRAG: Indexing Similar and Related Information for Multihop Reasoning

GReaTer: Gradients Over Reasoning Makes Smaller Language Models Strong Prompt Optimizers

Verbosity $\neq$ Veracity: Demystify Verbosity Compensation Behavior of Large Language Models

VisOnlyQA: Large Vision Language Models Still Struggle with Visual Perception of Geometric Information