Papers with detection tool
LLMDet: A Third Party Large Language Models Generated Text Detection Tool (2023.findings-emnlp)
Copied to clipboard
| Challenge: | Existing detection tools rely on access to LLMs and can only distinguish between machine-generated and human-authored text. |
| Approach: | They propose a model-specific, secure, efficient, and extendable detection tool that can source text from specific LLMs. |
| Outcome: | The proposed tool can source text from specific LLMs, such as GPT-2, OPT, LLaMA, and others. |
Position: LLM Watermarking Should Align Stakeholders’ Incentives for Practical Adoption (2026.findings-acl)
Copied to clipboard
| Challenge: | despite advances in watermarking algorithms, real-world deployment remains limited . model watermarks can be used to protect intellectual property and promote trust in AI . |
| Approach: | They propose to revisit three classes of watermarking to examine incentives for large language models . model watermarks naturally aligns with LLM provider interests, yet faces new challenges in open-source ecosystems . |
| Outcome: | The proposed methods can be used in dataset decontamination, user-controlled provenance, and in-context watermarking. |