2,087 research outputs found

    EVF: An Extensible and Expressive Visitor Framework for Programming Language Reuse

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    EVF: An Extensible and Expressive Visitor Framework for Programming Language Reuse (Artifact)

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    This artifact is based on EVF, an extensible and expressive Java visitor framework. EVF aims at reducing the effort involved in creation and reuse of programming languages. EVF an annotation processor that automatically generate boilerplate ASTs and AST for a given an Object Algebra interface. This artifact contains source code of the case study on "Types and Programming Languages", illustrating how effective EVF is in modularizing programming languages. There is also a microbenchmark in the artifact that shows that EVF has reasonable performance with respect to traditional visitors

    Temperature Responsive Photonic Coatings based on Siloxane Liquid Crystals

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    Can the Euro rival the United States dollar and become the world currency?

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    Due to the outstanding performance of the Euro since its advent, the public may wonder whether the Euro would, one day, replace the US dollar (USD) which has all along been a force to be reckoned with all around the world. By tracing the chain of contributions the USD (the United States of America) and the Euro (European Union) have made to the world economy in the past and at present, we hope to arrive at some conclusions. However, the paper will give primacy to predicting the future trends for them separately

    Phosphorylated AKT1 is associated with poor prognosis in esophageal squamous cell carcinoma

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    BACKGROUND: The epidermal growth factor receptor (EGFR) signaling pathway is important in regulating biological behaviors in many malignancies. We explored whether expression and activation of EGFR and several components on its downstream pathways have prognostic significance in patients with esophageal squamous cell carcinoma (ESCC). METHODS: Expression of EGFR, phosphorylated (p)-EGFR, AKT1, p-AKT1, AKT2, p-AKT2, ERK1, ERK2, p-ERK1/2, STAT3, and p-STAT3 was assessed by immunohistochemical analysis of tissue microarrays for 275 ESCC patients who had undergone complete three-field lymphadenectomy. Spearman rank correlation tests were used to determine the relationships among protein expression, and Cox regression analyses were performed to determine the prognostic factors on overall survival (OS). RESULTS: p-EGFR expression was correlated statistically with all of the other phosphorylated markers. Gender, N stage, and p-AKT1 expression were found to be independent prognostic factors for OS. Increased expression of p-AKT1 was associated with decreased patient survival. EGFR and p-EGFR expression was not significantly associated with patient survival. CONCLUSION: Activation of AKT1 was associated with poor prognosis in ESCC

    Multi-aspect Repetition Suppression and Content Moderation of Large Language Models

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    Natural language generation is one of the most impactful fields in NLP, and recent years have witnessed its evolution brought about by large language models (LLMs). As the key instrument for writing assistance applications, they are generally prone to replicating or extending offensive content provided in the input. In low-resource data regime, they can also lead to repetitive outputs (Holtzman et al., 2019) [1]. Usually, offensive content and repetitions are mitigated with post-hoc methods, including n-gram level blocklists, top-k and nucleus sampling. In this paper, we introduce a combination of exact and non-exact repetition suppression using token and sequence level unlikelihood loss, repetition penalty during training, inference, and post-processing respectively. We further explore multi-level unlikelihood loss to the extent that it endows the model with abilities to avoid generating offensive words and phrases from the beginning. Finally, with comprehensive experiments, we demonstrate that our proposed methods work exceptionally in controlling the repetition and content quality of LLM outputs

    Compositional Programming (Artifact)

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    Our main paper presents CP, a Compositional Programming language in a statically typed modular programming style. This artifact includes its Haskell implementation, together with several examples and three case studies written in CP. All code snippets in our main paper can be type-checked and run using our CP interpreter
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