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#artificial intelligence Preprint Sep 2026

Look Before You Leap: Factual Decoding with Internal Attribution Signals

This work identifies a factual-salient layer span within LLMs whose derived signal is selectively elevated for factual tokens and exhibits anomalous spikes at hallucination-prone steps, and proposes DescaPE, a decoding framework that leverages internal model signals to suppress hallucination-prone trajectories at infer...

Hayeong Ryu, Jungmin Yun, B. Lim et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Don't Count the Edits, Judge by the Outcome Alone: Reward-Based Evaluation for Grammatical Error Correction

Grammatical error correction (GEC) evaluation has traditionally relied on reference or edit overlap, which can penalize valid rewrites that differ from gold corrections. Reference-free metrics reduce this dependence, but evaluating whether a fluent output is a valid correction of the source remains challenging. We prop...

Hayeong Ryu, Sunhee Jo, Seunguk Yu et al. · 0 citations

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