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cs.CL2024
From Intentions to Techniques: A Comprehensive Taxonomy and Challenges in Text Watermarking for Large Language Models
Harsh Nishant Lalai, Aashish Anantha Ramakrishnan, Raj Sanjay Shah +1
With the rapid growth of Large Language Models (LLMs), safeguarding textual content against unauthorized use is crucial. Watermarking offers a vital solution, protecting both - LLM…
cs.CV2024
ANCHOR: LLM-driven Subject Conditioning for Text-to-Image Synthesis
Aashish Anantha Ramakrishnan, Sharon X. Huang, Dongwon Lee
Text-to-image (T2I) models have achieved remarkable progress in high-quality image synthesis, yet most benchmarks rely on simple, self-contained prompts, failing to capture the com…