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1. New alleles of nlp-2, nlp-22, and nlp-23 demonstrate that they are dispensable for stress-induced sleep in C. elegans

   https://doi.org/10.17912/micropub.biology.001109  

   Aviles, Sage; Subramanian, Sanjita; Nelson, Matthew D (January 2024, microPublication Biology)

   Sleep is ancient and genetically conserved across phylogeny. Neuropeptide signaling plays a fundamental role in the regulation of sleep for mammals, fish, and invertebrates like Caenorhabditis elegans. Developmentally timed-sleep and stress-induced sleep of C. elegans are controlled by distinct and overlapping neuropeptide pathways. The RPamide neuropeptides nlp-2, nlp-22, and nlp-23, play antagonistic roles during the regulation of developmentally-timed sleep, however, their role in stress-induced sleep has not been explored. These genes are linked on the X chromosome, which has made genetic analyses challenging. Here we used CRISPR to generate new alleles of nlp-22 and nlp-23, nlp-22;nlp-23 double mutants, and nlp-2;nlp-22;nlp-23 triple mutants. Confirming previous studies, we find that nlp-22 is required for developmentally-timed sleep, and show that nlp-23 is also required. However, all three genes are dispensable for stress-induced sleep. 

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2. (Re)construing Meaning in NLP

   https://doi.org/10.18653/v1/2020.acl-main.462  

   Trott, Sean; Torrent, Tiago Timponi; Chang, Nancy; Schneider, Nathan (July 2020, Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics)

   Human speakers have an extensive toolkit of ways to express themselves. In this paper, we engage with an idea largely absent from discussions of meaning in natural language understanding—namely, that the way something is expressed reflects different ways of conceptualizing or construing the information being conveyed. We first define this phenomenon more precisely, drawing on considerable prior work in theoretical cognitive semantics and psycholinguistics. We then survey some dimensions of construed meaning and show how insights from construal could inform theoretical and practical work in NLP. 

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3. Benchmarking Intersectional Biases in NLP

   https://doi.org/10.18653/v1/2022.naacl-main.263  

   Lalor, John; Yang, Yi; Smith, Kendall; Forsgren, Nicole; Abbasi, Ahmed (July 2022, Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies)
4. Concealed Data Poisoning Attacks on NLP Models

   https://doi.org/10.18653/v1/2021.naacl-main.13  

   Wallace, Eric; Zhao, Tony; Feng, Shi; Singh, Sameer (January 2021, Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies)

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5. NLP-enabled automated feedback about science writing

   https://doi.org/10.22318/icls2024.712073  

   Kim, ChanMin; Puntambekar, Sadhana; Lee, Eunseo; Gnesdilow, Dana; Karizaki, Mahsa Sheikhi; Passonneau, Rebecca (June 2024, Repository of the International Society of Learning Sciences)