splayd
PulseAugur coverage of splayd — every cluster mentioning splayd across labs, papers, and developer communities, ranked by signal.
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Expanded-SPLADE models show limitations in retrieval fine-tuning
This paper investigates the impact of different pre-training datasets and methods on the performance of Expanded-SPLADE (ESPLADE) models for neural information retrieval. The study found that models pre-trained on gener…
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Towards Universal Tabular Embeddings: A Benchmark Across Data Tasks
Researchers have developed two new frameworks for improving tabular data processing. One, called "Improving Robustness of Tabular Retrieval via Representational Stability," addresses the issue of serialization sensitivi…
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From Tokens to Concepts: Leveraging SAE for SPLADE
Researchers have developed a new model called SAE-SPLADE that replaces the traditional vocabulary backbone of Sparse Information Retrieval (IR) models like SPLADE with a latent space of semantic concepts. This approach,…