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MarkLLM: An Open-Source Toolkit for LLM Watermarking
Research article (Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2024) · cited 13× · AI/ML
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). MarkLLM: An Open-Source Toolkit for LLM Watermarking. Retrieved May 24, 2026, from https://4ort.xyz/entity/markllm-an-open-source-toolkit-for-llm-watermarking
MLA“MarkLLM: An Open-Source Toolkit for LLM Watermarking.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/markllm-an-open-source-toolkit-for-llm-watermarking.
BibTeX@misc{4ortxyz_markllm-an-open-source-toolkit-for-llm-watermarking_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{MarkLLM: An Open-Source Toolkit for LLM Watermarking}}, year = {2026}, url = {https://4ort.xyz/entity/markllm-an-open-source-toolkit-for-llm-watermarking}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): MarkLLM: An Open-Source Toolkit for LLM Watermarking — https://4ort.xyz/entity/markllm-an-open-source-toolkit-for-llm-watermarking (retrieved 2026-05-24)