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cs.CL2025
Negative Matters: Multi-Granularity Hard-Negative Synthesis and Anchor-Token-Aware Pooling for Enhanced Text Embeddings
Tengyu Pan, Zhichao Duan, Zhenyu Li +4
Text embedding models are essential for various natural language processing tasks, enabling the effective encoding of semantic information into dense vector representations. These…
cs.CL2025
Efficient Attention Mechanisms for Large Language Models: A Survey
Yutao Sun, Zhenyu Li, Yike Zhang +4
Transformer-based architectures have become the prevailing backbone of large language models. However, the quadratic time and memory complexity of self-attention remains a fundamen…
cs.CL2025
COMM:Concentrated Margin Maximization for Robust Document-Level Relation Extraction
Zhichao Duan, Tengyu Pan, Zhenyu Li +2
Document-level relation extraction (DocRE) is the process of identifying and extracting relations between entities that span multiple sentences within a document. Due to its realis…