lit for reading group

amu-literature.bib

@@ -1080,6 +1080,36 @@
   keywords  = {Deep learning;Computational modeling;Syntactics;Transformers;Natural language processing;Magnetic heads;Grammar;Natural Language Processing;Transfer Learning;Transformers;BERT;Part of Speech;Grammar Enriched},
 }
 
+@Article{sachan2020syntax,
+  author  = {Sachan, Devendra Singh and Zhang, Yuhao and Qi, Peng and Hamilton, William},
+  journal = {arXiv preprint arXiv:2008.09084},
+  title   = {Do syntax trees help pre-trained transformers extract information?},
+  year    = {2020},
+  file    = {:2008.09084v2.pdf:PDF},
+  groups  = {ml-architechtures},
+}
+
+@InProceedings{guo2024teaching,
+  author    = {Guo, Ping and Ren, Yubing and Hu, Yue and Li, Yunpeng and Zhang, Jiarui and Zhang, Xingsheng and Huang, He-Yan},
+  booktitle = {Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)},
+  title     = {Teaching Large Language Models to Translate on Low-resource Languages with Textbook Prompting},
+  year      = {2024},
+  pages     = {15685--15697},
+  file      = {:2024.lrec-main.1362.pdf:PDF},
+  groups    = {Groupe de lecture},
+}
+
+@Article{Zhou2023HowWD,
+  author  = {Houquan Zhou and Yang Hou and Zhenghua Li and Xuebin Wang and Zhefeng Wang and Xinyu Duan and Min Zhang},
+  journal = {ArXiv},
+  title   = {How Well Do Large Language Models Understand Syntax? An Evaluation by Asking Natural Language Questions},
+  year    = {2023},
+  volume  = {abs/2311.08287},
+  file    = {:2311.08287v1.pdf:PDF},
+  groups  = {Groupe de lecture},
+  url     = {https://api.semanticscholar.org/CorpusID:265157937},
+}
+
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