Papers by Kehuan Yan
Quantum-inspired Language Model with Lindblad Master Equation and Interference Measurement for Sentiment Analysis (2024.naacl-long)
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| Challenge: | Quantum-inspired models have demonstrated superior performance in many downstream language tasks, such as question answering and sentiment analysis. |
| Approach: | They propose a quantum-inspired neural network that integrates the Lindblad Master Equation to model the evolution process and the interferometry to the measurement process, providing more physical meaning to strengthen the interpretability. |
| Outcome: | The proposed model outperforms existing models on sentiment analysis datasets and shows that it is more accurate and performs better than existing models. |