kwang2049 - Overview (original) (raw)

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1. Powerful unsupervised domain adaptation method for dense retrieval. Requires only unlabeled corpus and yields massive improvement: "GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptatio…
   Python 341 38
2. Heterogenous, Task- and Domain-Specific Benchmark for Unsupervised Sentence Embeddings used in the TSDAE paper: https://arxiv.org/abs/2104.06979.
   Python 29 2
3. SPRINT Toolkit helps you evaluate diverse neural sparse models easily using a single click on any IR dataset.
   Python 47 2
4. State-of-the-Art Text Embeddings
   Python 18.5k 2.8k
5. SQuARE: Software for question answering research.
   Python 75 13