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Enhancing Chinese comprehension and reasoning for large language models: an efficient LoRA fine-tuning and tree of thoughts framework
Research article (The Journal of Supercomputing, 2024) · cited 21× · AI/ML
Enhancing Chinese comprehension and reasoning for large language models: an efficient LoRA fine-tuning and tree of thoughts framework
Summary
Enhancing Chinese comprehension and reasoning for large language models: an efficient LoRA fine-tuning and tree of thoughts framework is a scholarly article[1].
Key Facts
Enhancing Chinese comprehension and reasoning for large language models: an efficient LoRA fine-tuning and tree of thoughts framework's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Enhancing Chinese comprehension and reasoning for large language models: an efficient LoRA fine-tuning and tree of thoughts framework. Retrieved May 24, 2026, from https://4ort.xyz/entity/enhancing-chinese-comprehension-and-reasoning-for-large-language-models-an-efficient-lora-fine-tuning-and-tree-of-though
MLA“Enhancing Chinese comprehension and reasoning for large language models: an efficient LoRA fine-tuning and tree of thoughts framework.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/enhancing-chinese-comprehension-and-reasoning-for-large-language-models-an-efficient-lora-fine-tuning-and-tree-of-though.
BibTeX@misc{4ortxyz_enhancing-chinese-comprehension-and-reasoning-for-large-language-models-an-efficient-lora-fine-tuning-and-tree-of-though_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Enhancing Chinese comprehension and reasoning for large language models: an efficient LoRA fine-tuning and tree of thoughts framework}}, year = {2026}, url = {https://4ort.xyz/entity/enhancing-chinese-comprehension-and-reasoning-for-large-language-models-an-efficient-lora-fine-tuning-and-tree-of-though}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Enhancing Chinese comprehension and reasoning for large language models: an efficient LoRA fine-tuning and tree of thoughts framework — https://4ort.xyz/entity/enhancing-chinese-comprehension-and-reasoning-for-large-language-models-an-efficient-lora-fine-tuning-and-tree-of-though (retrieved 2026-05-24)
