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https://github.com/minggnim/nlp-papers

Collections of NLP Papers in my to-read list
https://github.com/minggnim/nlp-papers

llms machine-learning nlp research-paper

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Collections of NLP Papers in my to-read list

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# nlp-papers
NLP papers to read

# Reviews:

- [ ] 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

# Transformers:

- [ ] One Wide Feedforward is All You Need https://arxiv.org/pdf/2309.01826.pdf

# Seq2Seq:

- [ ] Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity https://arxiv.org/pdf/2101.03961v3.pdf

## Machine Translation:

- [ ] 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:

- [ ] 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 Inference

- [ ] Causal Reasoning and Large Language Models: Opening a New Frontier for Causality https://arxiv.org/pdf/2305.00050.pdf

# smell2text

- [ ] A Principal Odor Map Unifies Diverse Tasks in Human Olfactory Perception https://www.biorxiv.org/content/10.1101/2022.09.01.504602v2.full.pdf