Exploring Distributional Shifts in Large Language Models for Code
Analysis

Exploring Distributional Shifts in Large Language Models for Code Analysis

16 March 2023

Shushan Arakelyan

Rocktim Jyoti Das

Xiang Ren

Papers citing "Exploring Distributional Shifts in Large Language Models for Code Analysis"

19 / 19 papers shown

Title
JaxSGMC: Modular stochastic gradient MCMC in JAX Stephan Thaler Paul Fuchs Ana Cukarska Julija Zavadlav BDL 34 2 0 16 May 2025
Risk Assessment Framework for Code LLMs via Leveraging Internal States Yuheng Huang Lei Ma Keizaburo Nishikino Takumi Akazaki 39 0 0 20 Apr 2025
Trim My View: An LLM-Based Code Query System for Module Retrieval in Robotic Firmware Sima Arasteh Pegah Jandaghi Nicolaas Weideman Dennis Perepech Mukund Raghothaman Christophe Hauser Luis Garcia 167 0 0 05 Mar 2025
Interaction2Code: Benchmarking MLLM-based Interactive Webpage Code Generation from Interactive Prototyping Jingyu Xiao Yuxuan Wan Yintong Huo Z. Wang Xinyi Xu Wenxuan Wang Zhiyao Xu Yue Wang Michael R. Lyu 118 1 0 21 Feb 2025
URECA: The Chain of Two Minimum Set Cover Problems exists behind Adaptation to Shifts in Semantic Code Search Seok-Ung Choi Joonghyuk Hahn Yo-Sub Han 51 0 0 11 Feb 2025
Automatically Generating UI Code from Screenshot: A Divide-and-Conquer-Based Approach Yuxuan Wan Chaozheng Wang Yi Dong Wenxuan Wang Shuqing Li Yintong Huo M. Lyu 3DV 76 10 0 24 Jun 2024
Automatic Programming: Large Language Models and Beyond Michael R. Lyu Baishakhi Ray Abhik Roychoudhury Shin Hwei Tan Patanamon Thongtanunam 33 15 0 03 May 2024
DLAP: A Deep Learning Augmented Large Language Model Prompting Framework for Software Vulnerability Detection Yanjing Yang Xin Zhou Runfeng Mao Jinwei Xu Lanxin Yang Yu Zhangm Haifeng Shen He Zhang 24 13 0 02 May 2024
On the Self-Verification Limitations of Large Language Models on Reasoning and Planning Tasks Kaya Stechly Karthik Valmeekam Subbarao Kambhampati ReLM LRM 33 49 0 12 Feb 2024
Large Language Models for Software Engineering: A Systematic Literature Review Xinying Hou Yanjie Zhao Yue Liu Zhou Yang Kailong Wang Li Li Xiapu Luo David Lo John C. Grundy Haoyu Wang 39 323 0 21 Aug 2023
CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning Hung Le Yue Wang Akhilesh Deepak Gotmare Silvio Savarese S. Hoi SyDa ALM 132 240 0 05 Jul 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 328 11,953 0 04 Mar 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization Victor Sanh Albert Webson Colin Raffel Stephen H. Bach Lintang Sutawika ... T. Bers Stella Biderman Leo Gao Thomas Wolf Alexander M. Rush LRM 213 1,657 0 15 Oct 2021
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation Yue Wang Weishi Wang Shafiq R. Joty S. Hoi 241 1,489 0 02 Sep 2021
Constrained Language Models Yield Few-Shot Semantic Parsers Richard Shin C. H. Lin Sam Thomson Charles C. Chen Subhro Roy Emmanouil Antonios Platanios Adam Pauls Dan Klein J. Eisner Benjamin Van Durme 295 198 0 18 Apr 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,848 0 18 Apr 2021
What Makes Good In-Context Examples for GPT- $3$ ? Jiachang Liu Dinghan Shen Yizhe Zhang Bill Dolan Lawrence Carin Weizhu Chen AAML RALM 275 1,312 0 17 Jan 2021
Probabilistic Model-Agnostic Meta-Learning Chelsea Finn Kelvin Xu Sergey Levine BDL 176 666 0 07 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 359 11,684 0 09 Mar 2017