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Automatic Semantic Augmentation of Language Model Prompts (for Code Summarization)
13 April 2023
Toufique Ahmed
Kunal Suresh Pai
Prem Devanbu
Earl T. Barr
LRM
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Papers citing
"Automatic Semantic Augmentation of Language Model Prompts (for Code Summarization)"
17 / 17 papers shown
Title
Learn to Think: Bootstrapping LLM Reasoning Capability Through Graph Representation Learning
Hang Gao
Chenhao Zhang
Tie Wang
Junsuo Zhao
Fengge Wu
Changwen Zheng
Huaping Liu
LRM
31
0
0
09 May 2025
OSVBench: Benchmarking LLMs on Specification Generation Tasks for Operating System Verification
Shangyu Li
Juyong Jiang
Tiancheng Zhao
Jiasi Shen
49
0
0
29 Apr 2025
LAMD: Context-driven Android Malware Detection and Classification with LLMs
Xingzhi Qian
Xinran Zheng
Yiling He
Shuo Yang
Lorenzo Cavallaro
83
2
0
18 Feb 2025
An Empirically-grounded tool for Automatic Prompt Linting and Repair: A Case Study on Bias, Vulnerability, and Optimization in Developer Prompts
Dhia Elhaq Rzig
Dhruba Jyoti Paul
Kaiser Pister
Jordan Henkel
Foyzul Hassan
75
0
0
21 Jan 2025
The importance of visual modelling languages in generative software engineering
Roberto Rossi
79
1
0
27 Nov 2024
Natural Language Outlines for Code: Literate Programming in the LLM Era
Kensen Shi
Deniz Altınbüken
Saswat Anand
Mihai Christodorescu
Katja Grünwedel
...
Tobias Welp
Pengcheng Yin
Manzil Zaheer
Satish Chandra
Charles Sutton
49
6
0
09 Aug 2024
Can Developers Prompt? A Controlled Experiment for Code Documentation Generation
L. Herrmann
Tim Puhlfürß
Felix Dietrich
34
3
0
01 Aug 2024
A Comprehensive Survey on Process-Oriented Automatic Text Summarization with Exploration of LLM-Based Methods
Hanlei Jin
Yang Zhang
Dan Meng
Jun Wang
Jinghua Tan
68
80
0
05 Mar 2024
Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit
Yao Wan
Yang He
Zhangqian Bi
Jianguo Zhang
Hongyu Zhang
Yulei Sui
Guandong Xu
Hai Jin
Philip S. Yu
35
20
0
30 Dec 2023
The Hitchhiker's Guide to Program Analysis: A Journey with Large Language Models
Haonan Li
Yu Hao
Yizhuo Zhai
Zhiyun Qian
LLMAG
30
25
0
01 Aug 2023
Generate-and-Retrieve: use your predictions to improve retrieval for semantic parsing
Yury Zemlyanskiy
Michiel de Jong
Joshua Ainslie
Panupong Pasupat
Peter Shaw
Linlu Qiu
Sumit Sanghai
Fei Sha
RALM
130
17
0
29 Sep 2022
Few-shot training LLMs for project-specific code-summarization
Toufique Ahmed
Prem Devanbu
179
213
0
09 Jul 2022
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima
S. Gu
Machel Reid
Yutaka Matsuo
Yusuke Iwasawa
ReLM
LRM
328
4,077
0
24 May 2022
A Systematic Evaluation of Large Language Models of Code
Frank F. Xu
Uri Alon
Graham Neubig
Vincent J. Hellendoorn
ELM
ALM
204
631
0
26 Feb 2022
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation
Yue Wang
Weishi Wang
Shafiq R. Joty
S. Hoi
235
1,489
0
02 Sep 2021
On the Evaluation of Neural Code Summarization
Ensheng Shi
Yanlin Wang
Lun Du
Junjie Chen
Shi Han
Hongyu Zhang
Dongmei Zhang
Hongbin Sun
ELM
122
86
0
15 Jul 2021
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation
Shuai Lu
Daya Guo
Shuo Ren
Junjie Huang
Alexey Svyatkovskiy
...
Nan Duan
Neel Sundaresan
Shao Kun Deng
Shengyu Fu
Shujie Liu
ELM
198
1,105
0
09 Feb 2021
1