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Yohanes Setiawan

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#natural language process... Preprint Oct 2026

No Hindsight for LLM Fact-Checkers: Measuring Leakage Channels in Misinformation Detection

As automated fact-checking scales on social media, large language model (LLM) verdict scores can look stronger than warranted. One reason is that evaluations mix in information that was not knowable at claim time. Two channels are easy to conflate: outcomes memorized in pre-training and retrieved evidence published aft...

Kuan-Hua-Wu Lu, Y. Setiawan · 0 citations
Preprint Aug 2026

Prompt-Based Abstention Fails Under Misleading Context: A Controlled Study of Small Frozen RAG Models

Missing and misleading evidence are not the same problem in retrieval-augmented generation (RAG), but prompt-based abstention treats them alike. Models abstain when context is absent, not when it is misleading. We introduce GRAB-RAG (Graded Abstention Benchmark for Retrieval-Augmented Generation), a paired benchmark th...

Yohanes Setiawan · 1 citation

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