awesome-cultural-nlp

Resources for cultural NLP research
https://github.com/simran-khanuja/awesome-cultural-nlp

Last synced: 3 days ago
JSON representation

Evaluation
- LLMs
- Text-to-image
  - 2407.00377v1
  - 2307.02971 - Bench) | []() |
- VLMs
  - 2407.00263
  - 2502.13766
Dataset
- 2406.03930
- 2410.12705
- Code
- 2406.09948
- https://arxiv.org/pdf/2403.06412
- 2401.10352
- 2023.findings-emnlp.509 - NLP/CulturallyAwareNLI) | []() |
- 2310.17586
- 2210.08604
- 2301.02560 - data-collection.cs.princeton.edu/) | []() |
- 2305.11840 - research-datasets/seegull) | []() |
- 2023.findings-acl.631 - palta/FORK_ACL2023) | []() |
- 2305.16171 - khanuja/Multilingual-Fig-QA) | []() |
- 2203.14498
- 2407.06177
- 2407.06863 - research-datasets/cube) | Data |
- 2407.03791
- 2404.12464 - Yerukola/NormAd) | Data |
- 2404.01247 - khanuja/image-transcreation) | Data + Application
- 2402.09369v1 - MassiveMulticultureNormsKnowledge-NCLB) | []() |
- 2404.16019 - alignment) | Code and Data |
- 2308.16705
- 2209.12226 - research-datasets/nlp-fairness-for-india) | Data+Analysis
- 2109.13238 - challenge.github.io/) | EMNLP 2021 Best Paper |
- 2020.acl-main.477/
- 3539618.3591877
- 2024.findings-naacl.196
Survey
- 2403.15412 - llm-papers) | Cool paper! |
- 2203.10020
Image Captioning
- 2402.05374
Models
- Vision and Language
  - 2301.01893
Analysis
- Text-to-image
  - 2401.06310
  - 2308.06198 - In/) | []() |
  - 2209.08891 - Cultural-Biases-via-Homoglyphs) | []() |
  - 2310.01929 - 2-I) | []() |
  - 2305.11080
  - 2211.03759
  - 2306.01735
- LLMs
  - 2405.12744
  - 2406.13993
  - 2404.10199v1 - Gen/) | []() |
  - 2306.01857
  - 2307.01370
  - 2403.14651
- VLMs
- Cross-cultural Variations
Alignment
- Models
- Data
  - 2023.acl-long.505.pdf
Methodology
- Data
  - EMNLP Main 18
Applications
- Data
  - 2006.09336
Licenses
- Data
  - ![CC0
  - Simran Khanuja

Programming Languages

Categories

Dataset 27 Analysis 21 Evaluation 19 Alignment 6 Survey 2 Licenses 2 Applications 1 Models 1 Image Captioning 1 Methodology 1

Sub Categories

LLMs 21 Text-to-image 9 VLMs 7 Data 5 Models 5 Cross-cultural Variations 3 Vision and Language 1