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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.LG2025
Maximum Score Routing For Mixture-of-Experts
Bowen Dong, Yilong Fan, Yutao Sun +4
Routing networks in sparsely activated mixture-of-experts (MoE) dynamically allocate input tokens to top-k experts through differentiable sparse transformations, enabling scalable…
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…