Study benchmarks LLMs on alloy property prediction using Wasserstein distance severity metric

A new arXiv paper proposes quantifying out-of-distribution data severity with Wasserstein distances to benchmark LLMs like Gemini and DeepSeek on alloy property prediction tasks.

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2026-11-04 05:00 · arXiv cs.LG
Quantifying out-of-distribution data severity with Wasserstein distances: benchmarking large language models for alloy property prediction

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