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20192026
most citedET-GAN: Cross-Language Emotion Transfer Based on Cycle-Consistent Generative Adversarial Networks

2 citations · 2 across the 5 of their papers we have counts for

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cs.CL2026

The Alignment Paradox: How Post-Training Amplifies Confident Hallucinations in Language Models

Qingjia Huang, Yakai Li, Jianguo Wu +5

Large language models (LLMs) can produce factually incorrect answers with high confidence, undermining their reliability and limiting the effectiveness of uncertainty-based error d…