Shang Zhu

When Does Divide and Conquer Work for Long Context LLM? A Noise Decomposition Framework

Support Your Local LMs: Redistributing LM Traffic from Cloud to Edge with TrafficBench

Think Deep, Think Fast: Investigating Efficiency of Trained-verifier-free Inference-time-scaling Methods

Weaver: Shrinking the Generation-Verification Gap by Scaling Compute for Verification

Improving Model Alignment Through Collective Intelligence of Open-Source Models

Scaling Instruction-tuned LLMs to Million-token Contexts via Hierarchical Synthetic Data Generation

Improving Model Alignment Through Collective Intelligence of Open-Source Models