Papers by Ethan Fetaya
LR-DWM: Efficient Watermarking for Diffusion Language Models (2026.findings-acl)
Copied to clipboard
| Challenge: | Current methods for large language models rely on tokens being generated sequentially . left-right Diffusion watermarking uses a fixed, deterministic left-to-right order . |
| Approach: | They propose a scheme that biases tokens based on both left and right neighbors . left-Right Diffusion Watermarking is a low-latency alternative to autoregressive models . |
| Outcome: | The proposed method can be watermarked efficiently with minimal runtime and memory overhead. |