NLP papers to read
- Foundation Models for Decision Making: Problems, Methods, and Opportunities https://arxiv.org/pdf/2303.04129.pdf
- A survey of Generative AI Applications https://arxiv.org/abs/2306.02781
- One Wide Feedforward is All You Need https://arxiv.org/pdf/2309.01826.pdf
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Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity https://arxiv.org/pdf/2101.03961v3.pdf
- No Language Left Behind: Scaling Human-Centered Machine Translation https://arxiv.org/pdf/2207.04672.pdf
- BigTranslate: Augmenting Large Language Models with Multilingual Translation Capability over 100 Languages https://arxiv.org/pdf/2305.18098.pdf
- Semantic Parsing for Task Oriented Dialogusing Hierarchical Representations https://aclanthology.org/D18-1300.pdf
- Low-Resource Domain Adaptation for Compositional Task-Oriented Semantic Parsing https://arxiv.org/pdf/2010.03546v1.pdf
- Don’t Parse, Generate! A Sequence to Sequence Architecture for Task-Oriented Semantic Parsing https://arxiv.org/pdf/2001.11458.pdf
- Causal Reasoning and Large Language Models: Opening a New Frontier for Causality https://arxiv.org/pdf/2305.00050.pdf
- A Principal Odor Map Unifies Diverse Tasks in Human Olfactory Perception https://www.biorxiv.org/content/10.1101/2022.09.01.504602v2.full.pdf