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Detecting LLM-Generated Tokens in Human--LLM Coauthored Text
The paper presents a new method to detect which parts of a text are generated by language models (LLMs) in collaborative human-AI writing, operating at the token level and improving upon existing token-level detection…
Detecting LLM-Generated Tokens in Human--LLM Coauthored Text
Researchers present a new method for detecting parts of text generated by language models (LLMs) in human-AI coauthored documents. The approach works at the token level, using existing scores and a smoothing technique…
Latent Trajectory Discrimination for AI-Generated Text Detection
In this paper, the authors propose a new approach for detecting AI-generated text called Geometric Trajectory and Contrastive Learning (GTCL). Unlike existing methods that focus on aggregate statistics or global…
Application of LLMs to Threat Assessment of Foreign Peacekeeping Missions
The authors propose using Large Language Models (LLMs) to help assess threats during foreign peacekeeping missions, specifically referencing their work with the EU Monitoring Mission in Georgia. They combine an…
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