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Xinheng Ding

2 accepted papers

2026

Deterministic Inference across Tensor Parallel Sizes That Eliminates Training-Inference Mismatch

ICML 2026poster

Deterministic inference is increasingly critical for large language model (LLM) applications such as LLM-as-a-judge evaluation, multi-agent systems, and Reinforcement Learning (RL). However, existing LLM serving frameworks exhibit non-deterministic behavior: identical inputs can yield different outp…

Cited by 0SourceScholar
2025

Understanding and Mitigating Numerical Sources of Nondeterminism in LLM Inference

NeurIPS 2025oral

Large Language Models (LLMs) are now integral across various domains and have demonstrated impressive performance. Progress, however, rests on the premise that benchmark scores are both accurate and reproducible. We demonstrate that the reproducibility of LLM performance is fragile: changing system…

Cited by 0SourcecodeScholar