The authors release a Hutsul-Ukrainian corpus and show LoRA-fine-tuned 7B models beat GPT-4o on automated and LLM-based metrics, but the evaluation is contaminated by overlapping training and test sources.
Orientation relationship of FeNiC and FeNiCSi from variant detection in EBSD data
1 Pith paper cite this work. Polarity classification is still indexing.
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Pith paper citing it
abstract
The determination of orientation relationships in dual or multi-phase materials is very important in the field of interface engineering for the design of materials with tailored properties. In this work, a code is developed for the automated and statistical analysis of the orientation relationship of electron backscatter diffraction data. On the example of Fe-Ni-(Si)-C alloys containing lenticular martensite and retained austenite, the code is applied and it is shown that the orientation relationship (OR) corresponds to the Greninger-Troiano OR and that a statistically reliable investigation of the OR between the retained austenite and the related martensite variants is feasible using the code developed in this study.
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cs.CL 1years
2025 1verdicts
REJECT 1representative citing papers
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Vuyko Mistral: Adapting LLMs for Low-Resource Dialectal Translation
The authors release a Hutsul-Ukrainian corpus and show LoRA-fine-tuned 7B models beat GPT-4o on automated and LLM-based metrics, but the evaluation is contaminated by overlapping training and test sources.