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Learning Program Behavioral Models from Synthesized Input-Output Pairs

11 July 2024

Papers citing "Learning Program Behavioral Models from Synthesized Input-Output Pairs"

34 / 34 papers shown

Title
CodeGemma: Open Code Models Based on Gemma CodeGemma Team Heri Zhao Jeffrey Hui Joshua Howland Nam Nguyen ... Ale Jakse Hartman Bin Ni Kathy Korevec Kelly Schaefer Scott Huffman VLM 91 127 0 17 Jun 2024
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits Shuming Ma Hongyu Wang Lingxiao Ma Lei Wang Wenhui Wang Shaohan Huang Lifeng Dong Ruiping Wang Jilong Xue Furu Wei MQ 86 229 0 27 Feb 2024
Code Llama: Open Foundation Models for Code Baptiste Rozière Jonas Gehring Fabian Gloeckle Sten Sootla Itai Gat ... Hugo Touvron Louis Martin Nicolas Usunier Thomas Scialom Gabriel Synnaeve ELM ALM 119 2,077 0 24 Aug 2023
Boosting Neural Networks to Decompile Optimized Binaries Ying Cao Ruigang Liang Kai Chen Peiwei Hu 69 20 0 03 Jan 2023
Language Models Can Teach Themselves to Program Better Patrick M. Haluptzok Matthew Bowers Adam Tauman Kalai ReLM SyDa LRM 63 82 0 29 Jul 2022
Productivity Assessment of Neural Code Completion Albert Ziegler Eirini Kalliamvakou Shawn Simister Ganesh Sittampalam Alice Li Andrew Rice Devon Rifkin E. Aftandilian 160 184 0 13 May 2022
DeepAnalyze: Learning to Localize Crashes at Scale Manish Shetty Chetan Bansal Suman Nath Sean Bowles Henry Wang Ozgur Arman Siamak Ahari HAI 52 4 0 29 Sep 2021
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation Yue Wang Weishi Wang Shafiq Joty Guosheng Lin 292 1,560 0 02 Sep 2021
Asleep at the Keyboard? Assessing the Security of GitHub Copilot's Code Contributions Hammond Pearce Baleegh Ahmad Benjamin Tan Brendan Dolan-Gavitt Ramesh Karri SILM 80 424 0 20 Aug 2021
Evaluating Large Language Models Trained on Code Mark Chen Jerry Tworek Heewoo Jun Qiming Yuan Henrique Pondé ... Bob McGrew Dario Amodei Sam McCandlish Ilya Sutskever Wojciech Zaremba ELM ALM 236 5,647 0 07 Jul 2021
LoRA: Low-Rank Adaptation of Large Language Models J. E. Hu Yelong Shen Phillip Wallis Zeyuan Allen-Zhu Yuanzhi Li Shean Wang Lu Wang Weizhu Chen OffRL AI4TS AI4CE ALM AIMat 490 10,496 0 17 Jun 2021
Break-It-Fix-It: Unsupervised Learning for Program Repair Michihiro Yasunaga Percy Liang 77 109 0 11 Jun 2021
It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners Timo Schick Hinrich Schütze 130 974 0 15 Sep 2020
You Autocomplete Me: Poisoning Vulnerabilities in Neural Code Completion R. Schuster Congzheng Song Eran Tromer Vitaly Shmatikov SILM AAML 110 159 0 05 Jul 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 868 42,379 0 28 May 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 165 2,667 0 19 Feb 2020
Synthetic Datasets for Neural Program Synthesis Richard Shin Neel Kant Kavi Gupta Christopher M. Bender Brandon Trabucco Rishabh Singh Basel Alomair NAI 94 46 0 27 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 541 42,591 0 03 Dec 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel Noam M. Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu AIMat 470 20,317 0 23 Oct 2019
Towards Neural Decompilation O. Katz Yuval Olshaker Yoav Goldberg Eran Yahav 60 43 0 20 May 2019
On Learning Meaningful Code Changes via Neural Machine Translation Michele Tufano Jevgenija Pantiuchina Cody Watson Gabriele Bavota Denys Poshyvanyk 70 209 0 25 Jan 2019
Smart Greybox Fuzzing Van-Thuan Pham Marcel Böhme A. Santosa A. Caciulescu Abhik Roychoudhury 57 210 0 23 Nov 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.8K 95,175 0 11 Oct 2018
SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing Taku Kudo John Richardson 204 3,528 0 19 Aug 2018
Quantizing deep convolutional networks for efficient inference: A whitepaper Raghuraman Krishnamoorthi MQ 141 1,021 0 21 Jun 2018
Neural-Guided Deductive Search for Real-Time Program Synthesis from Examples Ashwin J. Vijayakumar Abhishek Mohta Oleksandr Polozov Dhruv Batra Prateek Jain Sumit Gulwani NAI 102 166 0 03 Apr 2018
Neural Program Meta-Induction Jacob Devlin Rudy Bunel Rishabh Singh Matthew J. Hausknecht Pushmeet Kohli 64 72 0 11 Oct 2017
RobustFill: Neural Program Learning under Noisy I/O Jacob Devlin J. Uesato Surya Bhupatiraju Rishabh Singh Abdel-rahman Mohamed Pushmeet Kohli 78 393 0 21 Mar 2017
Learn&Fuzz: Machine Learning for Input Fuzzing Patrice Godefroid Hila Peleg Rishabh Singh AAML 88 373 0 25 Jan 2017
Learning Simple Algorithms from Examples Wojciech Zaremba Tomas Mikolov Armand Joulin Rob Fergus MLAU 67 100 0 23 Nov 2015
Neural Random-Access Machines Karol Kurach Marcin Andrychowicz Ilya Sutskever OOD BDL 76 156 0 19 Nov 2015
Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets Armand Joulin Tomas Mikolov TPM 142 412 0 03 Mar 2015
Neural Turing Machines Alex Graves Greg Wayne Ivo Danihelka 105 2,331 0 20 Oct 2014
Learning to Execute Wojciech Zaremba Ilya Sutskever ODL 90 560 0 17 Oct 2014