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cs.CL2026
TabEmbed: Benchmarking and Learning Generalist Embeddings for Tabular Understanding
Minjie Qiang, Mingming Zhang, Xiaoyi Bao +5
Foundation models have established unified representations for natural language processing, yet this paradigm remains largely unexplored for tabular data. Existing methods face fun…
cs.CL2025★ 1 cited
Improved Personalized Headline Generation via Denoising Fake Interests from Implicit Feedback
Kejin Liu, Junhong Lian, Xiang Ao +5
Accurate personalized headline generation hinges on precisely capturing user interests from historical behaviors. However, existing methods neglect personalized-irrelevant click no…