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cs.IR2026
Temporal Fact Conflicts in LLMs: Reproducibility Insights from Unifying DYNAMICQA and MULAN
Ritajit Dey, Iadh Ounis, Graham McDonald +1
Large Language Models (LLMs) often struggle with temporal fact conflicts due to outdated or evolving information in their training data. Two recent studies with accompanying datase…
cs.IR2026★ 1 cited
Cross-Sensory Brain Passage Retrieval: Scaling Beyond Visual to Audio
Niall McGuire, Yashar Moshfeghi
Query formulation from internal information needs remains fundamentally challenging across all Information Retrieval paradigms due to cognitive complexity and physical impairments.…