Výsledky vyhledávání - "Computing methodologies Artificial intelligence Natural language processing"

Code to Comment "Translation": Data, Metrics, Baselining & Evaluation Autor Gros, David, Sezhiyan, Hariharan, Devanbu, Prem, Yu, Zhou

“…The relationship of comments to code, and in particular, the task of generating useful comments given the code, has long been of interest. The earliest…”
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AASD: Accelerate Inference by Aligning Speculative Decoding in Multimodal Large Language Models Autor Yang, Chaoqun, Chen, Ran, Zhang, Muyang, Pang, Weiguang, Chen, Yuzhi, Xu, Rongtao, Fu, Kexue, Wang, Changwei, Gao, Longxiang

“…Multimodal Large Language Models (MLLMs) have achieved notable success in visual instruction tuning, yet their inference is time-consuming due to the…”
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Log Parsing: How Far Can ChatGPT Go? Autor Le, Van-Hoang, Zhang, Hongyu

“…Software logs play an essential role in ensuring the reliability and maintainability of large-scale software systems, as they are often the sole source of…”
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Unleashing the True Potential of Semantic-Based Log Parsing with Pre-Trained Language Models Autor Le, Van-Hoang, Xiao, Yi, Zhang, Hongyu

“…Software-intensive systems often produce console logs for troubleshooting purposes. Log parsing, which aims at parsing a log message into a specific log…”
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Code Difference Guided Adversarial Example Generation for Deep Code Models Autor Tian, Zhao, Chen, Junjie, Jin, Zhi

“…Adversarial examples are important to test and enhance the robustness of deep code models. As source code is discrete and has to strictly stick to complex…”
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Automatically Generating Content for Testing Autonomous Vehicles from User Descriptions Autor Steininger, Benedikt, Papamichail, Chrysanthi, Stark, David, Nickovic, Dejan, Gambi, Alessio

“…Testing autonomous vehicles (AV) software, which is currently done using simulations, requires the availability of various content, such as terrains and maps,…”
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On Learning Meaningful Assert Statements for Unit Test Cases Autor Watson, Cody, Tufano, Michele, Moran, Kevin, Bavota, Gabriele, Poshyvanyk, Denys

“…Software testing is an essential part of the software lifecycle and requires a substantial amount of time and effort. It has been estimated that software…”
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ALISA: Accelerating Large Language Model Inference via Sparsity-Aware KV Caching Autor Zhao, Youpeng, Wu, Di, Wang, Jun

“…The Transformer architecture has significantly advanced natural language processing (NLP) and has been foundational in developing large language models (LLMs)…”
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A Large-Scale Survey on the Usability of AI Programming Assistants: Successes and Challenges Autor Liang, Jenny T., Yang, Chenyang, Myers, Brad A.

“…The software engineering community recently has witnessed widespread deployment of AI programming assistants, such as GitHub Copilot. However, in practice,…”
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InfeRE: Step-by-Step Regex Generation via Chain of Inference Autor Zhang, Shuai, Gu, Xiaodong, Chen, Yuting, Shen, Beijun

“…Automatically generating regular expressions (abbrev. regexes) from natural language description (NL2RE) has been an emerging research area. Prior studies…”
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SpecASR: Accelerating LLM-based Automatic Speech Recognition via Speculative Decoding Autor Wei, Linye, Zhong, Shuzhang, Xu, Songqiang, Wang, Runsheng, Huang, Ru, Li, Meng

“…Large language model (LLM)-based automatic speech recognition (ASR) has recently attracted a lot of attention due to its high recognition accuracy and enhanced…”
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Late Breaking Results: Fine-Tuning LLMs for Test Stimuli Generation Autor Park, Hyeonwoo, Park, Seonghyeon, Kang, Seokhyeong

“…The understanding and reasoning capabilities of large language models (LLMs) with text data have made them widely used for test stimuli generation. Existing…”
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Generating Variable Explanations via Zero-shot Prompt Learning Autor Wang, Chong, Lou, Yiling, Liu, Junwei, Peng, Xin

“…As basic elements in program, variables convey essential information that is critical for program comprehension and maintenance. However, understanding the…”
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Word embeddings for the software engineering domain Autor Efstathiou, Vasiliki, Chatzilenas, Christos, Spinellis, Diomidis

“…The software development process produces vast amounts of textual data expressed in natural language. Outcomes from the natural language processing community…”
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Testing Machine Translation via Referential Transparency Autor He, Pinjia, Meister, Clara, Su, Zhendong

“…Machine translation software has seen rapid progress in recent years due to the advancement of deep Neural Networks. People routinely use machine translation…”
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Improving Automatic Source Code Summarization via Deep Reinforcement Learning Autor Wan, Yao, Zhao, Zhou, Yang, Min, Xu, Guandong, Ying, Haochao, Wu, Jian, Yu, Philip S.

“…Code summarization provides a high level natural language description of the function performed by code, as it can benefit the software maintenance, code…”
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Studying the Usage of Text-To-Text Transfer Transformer to Support Code-Related Tasks Autor Mastropaolo, Antonio, Scalabrino, Simone, Cooper, Nathan, Nader Palacio, David, Poshyvanyk, Denys, Oliveto, Rocco, Bavota, Gabriele

“…Deep learning (DL) techniques are gaining more and more attention in the software engineering community. They have been used to support several code-related…”
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Structure-Invariant Testing for Machine Translation Autor He, Pinjia, Meister, Clara, Su, Zhendong

“…In recent years, machine translation software has increasingly been integrated into our daily lives. People routinely use machine translation for various…”
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LEAP: Efficient and Automated Test Method for NLP Software Autor Xiao, Mingxuan, Xiao, Yan, Dong, Hai, Ji, Shunhui, Zhang, Pengcheng

“…The widespread adoption of DNNs in NLP software has highlighted the need for robustness. Researchers proposed various automatic testing techniques for…”
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Can Large Language Models Comprehend Code Stylometry? Autor Dipongkor, Atish Kumar

“…Code Authorship Attribution (CAA) has several applications such as copyright disputes, plagiarism detection and criminal prosecution. Existing studies mainly…”
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