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cs.CL2024
Pcc-tuning: Breaking the Contrastive Learning Ceiling in Semantic Textual Similarity
Bowen Zhang, Chunping Li
Semantic Textual Similarity (STS) constitutes a critical research direction in computational linguistics and serves as a key indicator of the encoding capabilities of embedding mod…
cs.CL2024
Advancing Semantic Textual Similarity Modeling: A Regression Framework with Translated ReLU and Smooth K2 Loss
Bowen Zhang, Chunping Li
Since the introduction of BERT and RoBERTa, research on Semantic Textual Similarity (STS) has made groundbreaking progress. Particularly, the adoption of contrastive learning has s…
cs.CL2024
Simple Techniques for Enhancing Sentence Embeddings in Generative Language Models
Bowen Zhang, Kehua Chang, Chunping Li
Sentence Embedding stands as a fundamental task within the realm of Natural Language Processing, finding extensive application in search engines, expert systems, and question-and-a…