EMNLP

Enhancing Foundation Models in Transaction Understanding with LLM-based Sentence Embeddings

利用基于大语言模型的句子嵌入增强交易理解的基础模型

Xiran Fan, Zhimeng Jiang, Chin-Chia Michael Yeh, Yuzhong Chen, Yingtong Dou, Menghai Pan, Yan Zheng

机构 * Visa Research（Visa研究） 纠错

AI总结 本文提出一种结合大语言模型生成的句子嵌入与轻量级交易模型的混合框架，以提升交易理解任务的性能和效率。

Journal ref Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: Industry Track (EMNLP 2025), pages 903-911

Generative or Discriminative? Revisiting Text Classification in the Era of Transformers

生成式还是判别式？在Transformer时代的文本分类再审视

Siva Rajesh Kasa, Karan Gupta, Sumegh Roychowdhury, Ashutosh Kumar, Yaswanth Biruduraju, Santhosh Kumar Kasa, Nikhil Priyatam Pattisapu, Arindam Bhattacharya, Shailendra Agarwal, Vijay huddar

AI总结 本文在Transformer时代重新审视文本分类，比较生成式与判别式模型的性能，揭示不同架构下的表现差异并提供实际应用指导。

Comments 23 pages - received Outstanding Paper award at EMNLP 2025