paper-conference

From Intentions to Techniques: A Comprehensive Taxonomy and Challenges in Text Watermarking for Large Language Models
In this paper, we present a unified overview of different perspectives behind designing watermarking techniques through a comprehensive survey of the research literature.
Harsh Nishant Lalai, Aashish Anantha Ramakrishnan, Raj Sanjay Shah, Dongwon Lee
Cite DOI Arxiv
ANNA: Abstractive Text-to-Image Synthesis with Filtered News Captions
In this paper, we launch ANNA, an Abstractive News captioNs dAtaset extracted from online news articles in a variety of different contexts. Through our experiments, we show that techniques such as transfer learning achieve limited success in understanding abstractive captions but still fail to consistently learn the relationships between content and context features.
Aashish Anantha Ramakrishnan, Sharon X Huang, Dongwon Lee
Cite Dataset DOI Arxiv