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Xinrong Gong

2 accepted papers

2026

Cure-SFT: Diagnostic-Guided Data Curation for Instruction Tuning

ICML 2026poster

Instruction data curation is central to improving the instruction-following ability of large language models. However, existing approaches often struggle to simultaneously maintain data quality, diversity, and distributional consistency, largely because they do not explicitly distinguish semantic re…

Cited by 0SourceScholar
2025

DFMU: Distribution-based Framework for Modeling Aleatoric Uncertainty in Multimodal Sentiment Analysis

IJCAI 2025

In Multimodal Sentiment Analysis (MSA), data noise arising from various sources can lead to uncertainty in Aleatoric Uncertainty (AU), significantly impacting model performance. Current efforts to address AU have insufficiently explored its sources. They primarily focus on modeling noise rather than

Cited by 0SourcePDFScholar