An AI-agent social platform generated mostly neutral content whose use in fine-tuning reduced model truthfulness comparably to human Reddit data, suggesting limited unique harm but flagging tail risks like secret leaks.
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3 Pith papers cite this work, alongside 14 external citations. Polarity classification is still indexing.
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NESA presents a neuro-symbolic framework that decomposes static analyses into policy-defined sub-problems solved by parsers and LLMs to enable compilation-free customizable analysis with reduced hallucinations.
A real-world industrial benchmark and agentic baseline show current LLMs often fail to produce correct, stable, deployable visual workflows from natural language, with only modest resolve-rate gains.
citing papers explorer
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The Moltbook Files: A Harmless Slopocalypse or Humanity's Last Experiment
An AI-agent social platform generated mostly neutral content whose use in fine-tuning reduced model truthfulness comparably to human Reddit data, suggesting limited unique harm but flagging tail risks like secret leaks.
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NESA: Relational Neuro-Symbolic Static Program Analysis
NESA presents a neuro-symbolic framework that decomposes static analyses into policy-defined sub-problems solved by parsers and LLMs to enable compilation-free customizable analysis with reduced hallucinations.
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Chat2Workflow: A Benchmark for Generating Executable Visual Workflows with Natural Language
A real-world industrial benchmark and agentic baseline show current LLMs often fail to produce correct, stable, deployable visual workflows from natural language, with only modest resolve-rate gains.