ai-generated text detection 1contrastive learning 1dynamic modeling 1latent trajectories 1text embeddings 1
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cs.CL2026
Latent Trajectory Discrimination for AI-Generated Text Detection
Gianluca Bonifazi, Christopher Buratti, Michele Marchetti +5
The paper proposes a method that detects AI‑generated text by modeling how text representations change over the generation process, using trajectory‑based embeddings and contrastiv…
cs.CL2026
Efficient Retrieval-Augmented Generation via Token Co-occurrence Graphs
Gianluca Bonifazi, Christopher Buratti, Michele Marchetti +5
Retrieval-Augmented Generation (RAG) mitigates hallucinations in Large Language Models (LLMs) by grounding the generation process on external knowledge. However, standard RAG appro…