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README.md

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 # CrisisTransformers | State-of-the-art contextual and semantically meaningful sentence embeddings for crisis-related social media texts
 
-CrisisTransformers is a family of pre-trained language models and sentence encoders introduced in the papers "[CrisisTransformers: Pre-trained language models and sentence encoders for crisis-related social media texts](https://www.sciencedirect.com/science/article/pii/S0950705124005501)" and "[Semantically Enriched Cross-Lingual Sentence Embeddings for Crisis-related Social Media Texts](https://arxiv.org/abs/2403.16614)".
+CrisisTransformers is a family of pre-trained language models and sentence encoders introduced in the following papers:
+
+ - Pre-trained models and sentence encoders: [CrisisTransformers: Pre-trained language models and sentence encoders for crisis-related social media texts](https://www.sciencedirect.com/science/article/pii/S0950705124005501)
+ - Multi-lingual sentence encoders: [Semantically Enriched Cross-Lingual Sentence Embeddings for Crisis-related Social Media Texts](https://arxiv.org/abs/2403.16614)
+ - Mini models: ["Actionable Help" in Crises: A Novel Dataset and Resource-Efficient Models for Identifying Request and Offer Social Media Posts](https://arxiv.org/abs/2502.16839)
 
 The models were trained on a massive corpus of over 15 billion word tokens from tweets associated with 30+ crisis events, such as disease outbreaks, natural disasters, conflicts, etc.