* update 2023-04-30 08:44:34

LLMs-papers.md

@@ -12,36 +12,37 @@
   Translation](http://arxiv.org/abs/1909.04879v1)
 8. [Large Language Models are not Models of Natural Language: they are
   Corpus Models](http://arxiv.org/abs/2112.07055v2)
-9. [Unsupervised Improvement of Factual Knowledge in Language Models](http://arxiv.org/abs/2304.01597v1)
-10. [Multilingual Text Classification for Dravidian Languages](http://arxiv.org/abs/2112.01705v1)
-11. [Can Large Language Models design a Robot?](http://arxiv.org/abs/2303.15324v1)
-12. [HinFlair: pre-trained contextual string embeddings for pos tagging and
+9. [UIO at SemEval-2023 Task 12: Multilingual fine-tuning for sentiment
+  classification in low-resource languages](http://arxiv.org/abs/2304.14189v1)
+10. [Unsupervised Improvement of Factual Knowledge in Language Models](http://arxiv.org/abs/2304.01597v1)
+11. [Multilingual Text Classification for Dravidian Languages](http://arxiv.org/abs/2112.01705v1)
+12. [Can Large Language Models design a Robot?](http://arxiv.org/abs/2303.15324v1)
+13. [HinFlair: pre-trained contextual string embeddings for pos tagging and
   text classification in the Hindi language](http://arxiv.org/abs/2101.06949v1)
-13. [Jigsaw: Large Language Models meet Program Synthesis](http://arxiv.org/abs/2112.02969v1)
-14. [Larger-Scale Transformers for Multilingual Masked Language Modeling](http://arxiv.org/abs/2105.00572v1)
-15. [Exploring Cross-lingual Textual Style Transfer with Large Multilingual
+14. [Jigsaw: Large Language Models meet Program Synthesis](http://arxiv.org/abs/2112.02969v1)
+15. [Larger-Scale Transformers for Multilingual Masked Language Modeling](http://arxiv.org/abs/2105.00572v1)
+16. [Exploring Cross-lingual Textual Style Transfer with Large Multilingual
   Language Models](http://arxiv.org/abs/2206.02252v1)
-16. [Low-Resource Language Modelling of South African Languages](http://arxiv.org/abs/2104.00772v1)
-17. [In What Languages are Generative Language Models the Most Formal?
+17. [Low-Resource Language Modelling of South African Languages](http://arxiv.org/abs/2104.00772v1)
+18. [In What Languages are Generative Language Models the Most Formal?
   Analyzing Formality Distribution across Languages](http://arxiv.org/abs/2302.12299v1)
-18. [GreenPLM: Cross-lingual pre-trained language models conversion with
+19. [GreenPLM: Cross-lingual pre-trained language models conversion with
   (almost) no cost](http://arxiv.org/abs/2211.06993v2)
-19. [BLOOM+1: Adding Language Support to BLOOM for Zero-Shot Prompting](http://arxiv.org/abs/2212.09535v1)
-20. [LEALLA: Learning Lightweight Language-agnostic Sentence Embeddings with
+20. [BLOOM+1: Adding Language Support to BLOOM for Zero-Shot Prompting](http://arxiv.org/abs/2212.09535v1)
+21. [LEALLA: Learning Lightweight Language-agnostic Sentence Embeddings with
   Knowledge Distillation](http://arxiv.org/abs/2302.08387v1)
-21. [Benchmarking Language Models for Code Syntax Understanding](http://arxiv.org/abs/2210.14473v1)
-22. [Can Character-based Language Models Improve Downstream Task Performance
+22. [Benchmarking Language Models for Code Syntax Understanding](http://arxiv.org/abs/2210.14473v1)
+23. [Can Character-based Language Models Improve Downstream Task Performance
   in Low-Resource and Noisy Language Scenarios?](http://arxiv.org/abs/2110.13658v1)
-23. [Learning Translation Quality Evaluation on Low Resource Languages from
+24. [Learning Translation Quality Evaluation on Low Resource Languages from
   Large Language Models](http://arxiv.org/abs/2302.03491v1)
-24. [Investigating the Translation Performance of a Large Multilingual
+25. [Investigating the Translation Performance of a Large Multilingual
   Language Model: the Case of BLOOM](http://arxiv.org/abs/2303.01911v1)
-25. [Investigating Robustness of Dialog Models to Popular Figurative Language
+26. [Investigating Robustness of Dialog Models to Popular Figurative Language
   Constructs](http://arxiv.org/abs/2110.00687v1)
-26. [DPRK-BERT: The Supreme Language Model](http://arxiv.org/abs/2112.00567v1)
-27. [MultiPL-E: A Scalable and Extensible Approach to Benchmarking Neural
+27. [DPRK-BERT: The Supreme Language Model](http://arxiv.org/abs/2112.00567v1)
+28. [MultiPL-E: A Scalable and Extensible Approach to Benchmarking Neural
   Code Generation](http://arxiv.org/abs/2208.08227v4)
-28. [Subword Segmental Language Modelling for Nguni Languages](http://arxiv.org/abs/2210.06525v1)
-29. [TabLLM: Few-shot Classification of Tabular Data with Large Language
+29. [Subword Segmental Language Modelling for Nguni Languages](http://arxiv.org/abs/2210.06525v1)
+30. [TabLLM: Few-shot Classification of Tabular Data with Large Language
   Models](http://arxiv.org/abs/2210.10723v2)
-30. [Language Model Supervision for Handwriting Recognition Model Adaptation](http://arxiv.org/abs/1808.01423v1)