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This research traces where recognizable LLM "slop" style (em dashes, "not X, but Y", lists of three, buzzwords) is represented in models and which training stage installs it, showing SFT introduces rhetorical structures and DPO doubles slop. It then removes slop via fixed-vector subtraction distilled into a rank-16 LoRA, cutting the slop score 83% without hurting QA performance.
A discussion post asking the community about their experience reviewing submissions for ICLR, focusing on the rising volume of AI-generated papers and the growing difficulty of detecting AI-written text and 'slop' submissions in OpenReview.
JFrog researchers debunk a batch of SQLite CVEs published by a suspicious GitHub repo, finding the advisories are likely LLM-generated slop with non-existent code references and non-working PoCs, prompting NVD downgrades.