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Call Neighbours Yourself: Graph Walks with Destination-Conditioned On-Policy Self-Distillation

Reasoning over text-attributed graphs (TAGs) requires large language models (LLMs) to combine a node's text with evidence distributed across its neighbourhood. Existing methods fix the set of accessible neighbours before generation, forcing reasoning to operate over a static context and preventing the model from acquiring missing evidence during inference. We argue that neighbour selection should…

We haven't written up this one. arXiv cs.AI has the full story — the link below goes straight to it.

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Three layers of automated fact-checking for an LLM newsroom (and the bugs that forced each one)

Our site, presentofai.com , publishes AI industry analysis daily with no human in the writing loop: agents ingest news and company filings into an event timeline, score them, and synthesize digests…

  • First layer, article-level critic checks drafts against source events for errors
  • Second layer, search-verified claim checking extracts and verifies crucial claims
  • Third layer, data auditing re-reads timelines for recurring failure classes

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