arXiv:2110.06510
공식 코드 · Papers with Code
The Dawn of Quantum Natural Language Processing
원문 초록
In this paper, we discuss the initial attempts at boosting understanding human language based on deep-learning models with quantum computing. We successfully train a quantum-enhanced Long Short-Term Memory network to perform the parts-of-speech tagging task via numerical simulations. Moreover, a quantum-enhanced Transformer is proposed to perform the sentiment analysis based on the existing dataset.
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Understanding and Tackling Label Errors in Individual-Level Nature Language Understanding
DCR: Quantifying Data Contamination in LLMs Evaluation
AI Wizards at CheckThat! 2025: Enhancing Transformer-Based Embeddings with Sentiment for Subjectivity Detection in News Articles
Characterizing Linguistic Shifts in Croatian News via Diachronic Word Embeddings
CAtCh: Cognitive Assessment through Cookie Thief
Invariance Makes LLM Unlearning Resilient Even to Unanticipated Downstream Fine-Tuning
토론
이 논문과 연결된 포럼 글이 아직 없습니다.