7 accepted papers
Long-term monitoring and exploration of extreme environments, such as underwater storage facilities, is costly, labor-intensive, and hazardous. Automating this process with low-cost, collaborative robots can greatly improve efficiency. These robots capture images from different positions, which must
Large Language Models (LLMs) are increasingly integrated into the software engineering ecosystem. Their test-time compute reasoning capabilities promise significant potential in understanding program logic and semantics beyond mere token recognition. However, current benchmarks evaluating reasoning…
Testing is essential to modern software engineering for building reliable software.Given the high costs of manually creating test cases,automated test case generation, particularly methods utilizing large language models,has become increasingly popular.These neural approaches generate semantically m
Language models for natural language processing have been grafted onto programming language modeling for advancing code intelligence. Although it can be represented in the text format, code is syntactically more rigorous, as it is designed to be properly compiled or interpreted to perform a set of b…
Semantic understanding of programs has attracted great attention in the community. Inspired by recent successes of large language models (LLMs) in natural language understanding, tremendous progress has been made by treating programming language as another sort of natural language and training LLMs…
This paper proposes a novel Discriminative Feature Selection Guided Deep Canonical Correlation Analysis (D <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> CCA) for multiview learning. The proposed (D <sup xmlns:mml="http://www.w3.org/1998/Math/M…
In this paper, we propose Deep Discriminative Canonical Correlation Analysis (DDCCA), a method to learn the nonlinear transformation of two data sets such that the within-class correlation is maximized and the inter-class correlation is minimized. Parameters of the two deep transformations are joint…