作者位次 #2/2ICLR 2026Poster· Deep Learning / Algorithms
LANE: Label-Aware Noise Elimination for Fine-Grained Text Classification
Tiberiu Sosea · Cornelia Caragea
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Tiberiu Sosea · Cornelia Caragea
Qi Zhang · Fangping Lan · Cornelia Caragea · Longin Jan Latecki · Eduard Dragut
In-context learning (ICL) with large language models (LLMs) has emerged as a powerful alternative to fine-tuning for Named Entity Recognition (NER), achieving strong performance with minimal annotation and no additional training. However, prior work has shown that despite their adaptability, LLMs...
Chenye Zhao · Cornelia Caragea
Stance detection aims to ascertain whether an author’s text is in favor, against, or neutral toward specific targets like public policies or social issues. While pretrained language models (PLMs) have greatly enhanced stance detection, they remain vulnerable to adversarial attacks—manipulations t...
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