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cs.IR2025
Taxonomy-based Negative Sampling In Personalized Semantic Search for E-commerce
Uthman Jinadu, Siawpeng Er, Le Yu +4
Large retail outlets offer products that may be domain-specific, and this requires having a model that can understand subtle differences in similar items. Sampling techniques used…
cs.IR2023
Lookahead: An Inference Acceleration Framework for Large Language Model with Lossless Generation Accuracy
Yao Zhao, Zhitian Xie, Chen Liang +2
As Large Language Models (LLMs) have made significant advancements across various tasks, such as question answering, translation, text summarization, and dialogue systems, the need…