Author

Zhao-Jiang Lin

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#artificial intelligence Preprint Oct 2026

Logbook: Extremely Long-form Audio Event Understanding

Audio benchmarks are built around short, pre-segmented clips, limiting model design to brief inputs or fixed vocabularies. To close this gap, we introduce Logbook, a benchmark for hour-scale audio understanding, with recordings ranging from ten minutes to six days. Given a continuous audio recording and an event label...

Kwanghee Choi, Suwon Shon, Dmitriy Serdyuk et al. · 0 citations

#natural language process... Preprint Jun 2025

ConfRAG: Confidence-Guided Retrieval-Augmenting Generation

This work introduces ConfQA, a fine-tuning strategy that reduces hallucination rates from 20-40% to below 5% across multiple factuality benchmarks, and proposes ConfRAG, a triggering strategy that invokes RAG only when the model responses with unsure.

Yin Huang, Y. Xu, Kai Sun et al. · 2 citations