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As LLMs increasingly assist scientific writing and peer review, detecting who wrote the text is no longer sufficient: we need to determine who contributed the underlying insight. We introduce Insight Provenance, the task of identifying whether a review insight originates from a human, an LLM, or their hybrid contributi...
TRILOGUE (TRIlingual spoken diaLOGUE fact-checking) is introduced, a large-scale trilingual benchmark of source-grounded spoken dialogues in English, Russian, and Kazakh that supports claim check-worthiness detection, source-article evidence retrieval, and claim verification with claim-only, gold-evidence, and retrieve...
This work identifies a class of user-issued instructions, Session Constraints, that are meant to constrain LLM's behavior for the remainder of a session but are silently dropped during compaction, and introduces COMPINT, an evaluation suite that evaluates compactors across three long-context scenarios: multi-turn chat,...
This work presents the first multilingual spoken hallucination benchmark comprising 12,013 news samples across English, Russian, and Kazakh with controlled hallucinations of three types and three severity levels, and assesses fine-tuned multilingual encoders and, in zero-shot in-context settings, multimodal decoder mod...
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