TASTY: A Transformer based Approach to Space and Time complexity

6 May 2023

Papers citing "TASTY: A Transformer based Approach to Space and Time complexity"

5 / 5 papers shown

Title
Benchmarking AI Models in Software Engineering: A Review, Search Tool, and Enhancement Protocol Roham Koohestani Philippe de Bekker M. Izadi VLM 50 0 0 07 Mar 2025
TCProF: Time-Complexity Prediction SSL Framework Joonghyuk Hahn Hyeseon Ahn Jungin Kim Soohan Lim Yo-Sub Han 49 0 0 10 Feb 2025
Text and Code Embeddings by Contrastive Pre-Training Arvind Neelakantan Tao Xu Raul Puri Alec Radford Jesse Michael Han ... Tabarak Khan Toki Sherbakov Joanne Jang Peter Welinder Lilian Weng SSL AI4TS 232 425 0 24 Jan 2022
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation Yue Wang Weishi Wang Chenyu You Guosheng Lin 246 1,506 0 02 Sep 2021
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov Kai Chen G. Corrado J. Dean 3DV 302 31,280 0 16 Jan 2013