DeepCodeProbe: Towards Understanding What Models Trained on Code Learn

11 July 2024

Papers citing "DeepCodeProbe: Towards Understanding What Models Trained on Code Learn"

20 / 20 papers shown

Title
Rocks Coding, Not Development--A Human-Centric, Experimental Evaluation of LLM-Supported SE Tasks Wei Wang Huilong Ning Gaowei Zhang Libo Liu Yi Wang 76 15 0 08 Feb 2024
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation Yue Wang Weishi Wang Shafiq Joty Guosheng Lin 289 1,580 0 02 Sep 2021
What do pre-trained code models know about code? Anjan Karmakar Romain Robbes ELM 68 90 0 25 Aug 2021
Local Interpretations for Explainable Natural Language Processing: A Survey Siwen Luo Hamish Ivison S. Han Josiah Poon MILM 101 50 0 20 Mar 2021
Probing Classifiers: Promises, Shortcomings, and Advances Yonatan Belinkov 286 452 0 24 Feb 2021
No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems N. Sohoni Jared A. Dunnmon Geoffrey Angus Albert Gu Christopher Ré 77 252 0 25 Nov 2020
GraphCodeBERT: Pre-training Code Representations with Data Flow Daya Guo Shuo Ren Shuai Lu Zhangyin Feng Duyu Tang ... Dawn Drain Neel Sundaresan Jian Yin Daxin Jiang M. Zhou 142 1,134 0 17 Sep 2020
Explainable Artificial Intelligence: a Systematic Review Giulia Vilone Luca Longo XAI 79 271 0 29 May 2020
Probing Linguistic Systematicity Emily Goodwin Koustuv Sinha Timothy J. O'Donnell 116 58 0 08 May 2020
The Cost of Training NLP Models: A Concise Overview Or Sharir Barak Peleg Y. Shoham 96 214 0 19 Apr 2020
Improved Code Summarization via a Graph Neural Network Alexander LeClair S. Haque Lingfei Wu Collin McMillan 53 285 0 06 Apr 2020
A Safety Framework for Critical Systems Utilising Deep Neural Networks Xingyu Zhao Alec Banks James Sharp Valentin Robu David Flynn Michael Fisher Xiaowei Huang AAML 73 49 0 07 Mar 2020
CodeBERT: A Pre-Trained Model for Programming and Natural Languages Zhangyin Feng Daya Guo Duyu Tang Nan Duan Xiaocheng Feng ... Linjun Shou Bing Qin Ting Liu Daxin Jiang Ming Zhou 162 2,637 0 19 Feb 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 605 4,822 0 23 Jan 2020
Automatic Source Code Summarization with Extended Tree-LSTM Yusuke Shido Yasuaki Kobayashi Akihiro Yamamoto A. Miyamoto Tadayuki Matsumura 49 88 0 19 Jun 2019
Probing for Semantic Classes: Diagnosing the Meaning Content of Word Embeddings Yadollah Yaghoobzadeh Katharina Kann Timothy J. Hazen Eneko Agirre Hinrich Schütze 57 38 0 09 Jun 2019
Linguistic Knowledge and Transferability of Contextual Representations Nelson F. Liu Matt Gardner Yonatan Belinkov Matthew E. Peters Noah A. Smith 130 733 0 21 Mar 2019
Improving Automatic Source Code Summarization via Deep Reinforcement Learning Yao Wan Zhou Zhao Min Yang Guandong Xu Haochao Ying Jian Wu Philip S. Yu 53 392 0 17 Nov 2018
Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks Kai Sheng Tai R. Socher Christopher D. Manning AIMat 140 3,122 0 28 Feb 2015
Distributed Representations of Words and Phrases and their Compositionality Tomas Mikolov Ilya Sutskever Kai Chen G. Corrado J. Dean NAI OCL 397 33,550 0 16 Oct 2013