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Graduate Student of KAIST šŸ‘‹

  • šŸ”­ Iā€™m currently working on large language models and GFlowNet.
  • šŸŒ± Iā€™m currently learning mathematics and statistics. Blog for math and stat.
  • Previously I was an intern at Apple, based in Cambridge.

Seanie Lee's Projects

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Bayesian Attention Modules

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[ICLR 2021] Contrastive Learning with Adversarial Perturbations for Conditional Text Generation

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[ACL 2020] Generating Diverse and Consistent QA pairs from Contexts with Information-Maximizing Hierarchical Conditional VAEs

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pytorch implementation for "Mutual Information Neural Estimation"

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:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.

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Resources I used for ML Engineer, Applied Scientist and Quant Researcher interviews.

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Code for EMNLP-IJCNLP 2019 MRQA Workshop Paper: "Domain-agnostic Question-Answering with Adversarial Training"

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Pytorch implementation of Paragraph-level Neural Question Generation with Maxout Pointer and Gated Self-attention Networks

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Reinforcement Learning

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[ACL 2021] Learning to Perturb Word Embeddings for Out-of-distribution QA

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