168 citations · 711 across the 31 of their papers we have counts for
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cs.CL2024
Learning from Many Voices: Literary MT Using Multi-Reference Human and Synthetic Data
Si Wu, John Wieting, David A. Smith
Unlike many other texts, literary works are often translated multiple times. We investigate strategies for leveraging these multi-reference datasets to improve literary machine tra…
cs.LG2024
PostMark: A Robust Blackbox Watermark for Large Language Models
Yapei Chang, Kalpesh Krishna, Amir Houmansadr +2
The most effective techniques to detect LLM-generated text rely on inserting a detectable signature -- or watermark -- during the model's decoding process. Most existing watermarki…