* update 2023-07-09 08:57:36

LLMs-papers.md

@@ -30,19 +30,3 @@
 19. [Jigsaw: Large Language Models meet Program Synthesis](http://arxiv.org/abs/2112.02969v1)
 20. [HinFlair: pre-trained contextual string embeddings for pos tagging and
  text classification in the Hindi language](http://arxiv.org/abs/2101.06949v1)
-21. [Larger-Scale Transformers for Multilingual Masked Language Modeling](http://arxiv.org/abs/2105.00572v1)
-22. [Exploring Cross-lingual Textual Style Transfer with Large Multilingual
- Language Models](http://arxiv.org/abs/2206.02252v1)
-23. [Low-Resource Language Modelling of South African Languages](http://arxiv.org/abs/2104.00772v1)
-24. [In What Languages are Generative Language Models the Most Formal?
- Analyzing Formality Distribution across Languages](http://arxiv.org/abs/2302.12299v1)
-25. [LEALLA: Learning Lightweight Language-agnostic Sentence Embeddings with
- Knowledge Distillation](http://arxiv.org/abs/2302.08387v1)
-26. [Reimagining Retrieval Augmented Language Models for Answering Queries](http://arxiv.org/abs/2306.01061v1)
-27. [Benchmarking Language Models for Code Syntax Understanding](http://arxiv.org/abs/2210.14473v1)
-28. [Can Character-based Language Models Improve Downstream Task Performance
- in Low-Resource and Noisy Language Scenarios?](http://arxiv.org/abs/2110.13658v1)
-29. [Learning Translation Quality Evaluation on Low Resource Languages from
- Large Language Models](http://arxiv.org/abs/2302.03491v1)
-30. [Investigating the Translation Performance of a Large Multilingual
- Language Model: the Case of BLOOM](http://arxiv.org/abs/2303.01911v2)