代码大模型 / AI 编程

LTL learning on GPUs

Mojtaba Valizadeh, Nathanaël Fijalkow, Martin Berger

专题命中 代码生成 ：program synthesis(abstract)；分类 cs.AI、cs.PL

Comments 27 pages

Bugs in Large Language Models Generated Code: An Empirical Study

Florian Tambon, Arghavan Moradi Dakhel, Amin Nikanjam, Foutse Khomh, Michel C. Desmarais, Giuliano Antoniol

专题命中 代码生成 ：code generation(abstract)；分类 cs.SE、cs.AI

Comments 47 pages, 7 figures

KnowCoder: Coding Structured Knowledge into LLMs for Universal Information Extraction

Zixuan Li, Yutao Zeng, Yuxin Zuo, Weicheng Ren, Wenxuan Liu, Miao Su, Yucan Guo, Yantao Liu, Xiang Li, Zhilei Hu, Long Bai, Wei Li, Yidan Liu, Pan Yang, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng

专题命中 代码生成 ：code generation(abstract)；分类 cs.AI、cs.LG

Poisoning Programs by Un-Repairing Code: Security Concerns of AI-generated Code

Cristina Improta

专题命中 代码生成 ：code generation(abstract)；分类 cs.SE、cs.AI

Comments Accepted at The 1st IEEE International Workshop on Reliable and Secure AI for Software Engineering (ReSAISE), co-located with ISSRE 2023

RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Horizon Generation

Zihao Wang, Anji Liu, Haowei Lin, Jiaqi Li, Xiaojian Ma, Yitao Liang

专题命中 代码生成 ：code generation(abstract)；分类 cs.CL、cs.AI

Semantic Mirror Jailbreak: Genetic Algorithm Based Jailbreak Prompts Against Open-source LLMs

Xiaoxia Li, Siyuan Liang, Jiyi Zhang, Han Fang, Aishan Liu, Ee-Chien Chang

专题命中 代码生成 ：code generation(abstract)；分类 cs.CL、cs.AI

Coffee: Boost Your Code LLMs by Fixing Bugs with Feedback

Seungjun Moon, Hyungjoo Chae, Yongho Song, Taeyoon Kwon, Dongjin Kang, Kai Tzu-iunn Ong, Seung-won Hwang, Jinyoung Yeo

专题命中 代码生成 ：program synthesis(abstract)；分类 cs.SE、cs.CL

Comments Work in progress

Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity Tracking

Nikhil Prakash, Tamar Rott Shaham, Tal Haklay, Yonatan Belinkov, David Bau

专题命中 代码生成 ：code generation(abstract)；分类 cs.CL、cs.LG

Comments ICLR 2024. 26 pages, 13 figures. Code and data at https://finetuning.baulab.info/

Are Human-generated Demonstrations Necessary for In-context Learning?

Rui Li, Guoyin Wang, Jiwei Li

专题命中 代码生成 ：code generation(abstract)；分类 cs.AI、cs.LG

CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing

Zhibin Gou, Zhihong Shao, Yeyun Gong, Yelong Shen, Yujiu Yang, Nan Duan, Weizhu Chen

专题命中 代码生成 ：program synthesis(abstract)；分类 cs.CL、cs.AI

Comments ICLR 2024

Advancing GenAI Assisted Programming--A Comparative Study on Prompt Efficiency and Code Quality Between GPT-4 and GLM-4

Angus Yang, Zehan Li, Jie Li

专题命中 代码生成 ：code generation(abstract)；分类 cs.SE、cs.AI

Comments 18 pages, 4 figures, 3 tables

Dynamic Retrieval-Augmented Generation

Anton Shapkin, Denis Litvinov, Yaroslav Zharov, Egor Bogomolov, Timur Galimzyanov, Timofey Bryksin

专题命中 代码生成 ：code generation(abstract)；分类 cs.SE、cs.LG

Comments 10 pages

Enhancing LLM-Based Coding Tools through Native Integration of IDE-Derived Static Context

Yichen Li, Yun Peng, Yintong Huo, Michael R. Lyu

专题命中 代码生成 ：repository(abstract)；分类 cs.SE、cs.AI

Language-Driven Engineering An Interdisciplinary Software Development Paradigm

Bernhard Steffen, Tiziana Margaria, Alexander Bainczyk, Steve Boßelmann, Daniel Busch, Marc Driessen, Markus Frohme, Falk Howar, Sven Jörges, Marvin Krause, Marco Krumrey, Anna-Lena Lamprecht, Michael Lybecait, Alnis Murtovi, Stefan Naujokat, Johannes Neubauer, Alexander Schieweck, Jonas Schürmann, Steven Smyth, Barbara Steffen, Fabian Storek, Tim Tegeler, Sebastian Teumert, Dominic Wirkner, Philip Zweihoff

专题命中 代码生成 ：code generation(abstract)；分类 cs.SE、cs.PL

Comments 43 pages, 30 figures

SwissNYF: Tool Grounded LLM Agents for Black Box Setting

Somnath Sendhil Kumar, Dhruv Jain, Eshaan Agarwal, Raunak Pandey

专题命中 代码生成 ：program synthesis(abstract)；分类 cs.CL、cs.AI

Language Models are Better Bug Detector Through Code-Pair Classification

Kamel Alrashedy, Ahmed Binjahlan

专题命中 代码生成 ：code generation(abstract)；分类 cs.SE、cs.LG

Analyzing the Effectiveness of Large Language Models on Text-to-SQL Synthesis

Richard Roberson, Gowtham Kaki, Ashutosh Trivedi

专题命中 代码生成 ：program synthesis(abstract)；分类 cs.AI、cs.PL

Using LLM such as ChatGPT for Designing and Implementing a RISC Processor: Execution,Challenges and Limitations

Shadeeb Hossain, Aayush Gohil, Yizhou Wang

专题命中 代码生成 ：code generation(abstract)；分类 cs.SE、cs.LG

3D-PreMise: Can Large Language Models Generate 3D Shapes with Sharp Features and Parametric Control?

Zeqing Yuan, Haoxuan Lan, Qiang Zou, Junbo Zhao

专题命中 代码生成 ：program synthesis(abstract)；分类 cs.CL、cs.AI

Comments 10 pages, 6 figures

Mixtral of Experts

Albert Q. Jiang, Alexandre Sablayrolles, Antoine Roux, Arthur Mensch, Blanche Savary, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Emma Bou Hanna, Florian Bressand, Gianna Lengyel, Guillaume Bour, Guillaume Lample, Lélio Renard Lavaud, Lucile Saulnier, Marie-Anne Lachaux, Pierre Stock, Sandeep Subramanian, Sophia Yang, Szymon Antoniak, Teven Le Scao, Théophile Gervet, Thibaut Lavril, Thomas Wang, Timothée Lacroix, William El Sayed

专题命中 代码生成 ：code generation(abstract)；分类 cs.CL、cs.LG

Comments See more details at https://mistral.ai/news/mixtral-of-experts/

Code-Style In-Context Learning for Knowledge-Based Question Answering

Zhijie Nie, Richong Zhang, Zhongyuan Wang, Xudong Liu

专题命中 代码生成 ：code generation(abstract)；分类 cs.CL、cs.AI

Comments AAAI2024 Camera Ready

Capture the Flag: Uncovering Data Insights with Large Language Models

Issam Laradji, Perouz Taslakian, Sai Rajeswar, Valentina Zantedeschi, Alexandre Lacoste, Nicolas Chapados, David Vazquez, Christopher Pal, Alexandre Drouin

专题命中 代码生成 ：code generation(abstract)；分类 cs.CL、cs.LG

Comments 14 pages, 1 figure, Foundation Models for Decision Making Workshop at NeurIPS 2023

Assessing GPT4-V on Structured Reasoning Tasks

Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Gust Verbruggen

专题命中 代码生成 ：code generation(abstract)；分类 cs.CL、cs.AI

Comments 9 pages, 9 figures

YUAN 2.0: A Large Language Model with Localized Filtering-based Attention

Shaohua Wu, Xudong Zhao, Shenling Wang, Jiangang Luo, Lingjun Li, Xi Chen, Bing Zhao, Wei Wang, Tong Yu, Rongguo Zhang, Jiahua Zhang, Chao Wang

专题命中 代码生成 ：code generation(abstract)；分类 cs.CL、cs.AI

SteloCoder: a Decoder-Only LLM for Multi-Language to Python Code Translation

Jialing Pan, Adrien Sadé, Jin Kim, Eric Soriano, Guillem Sole, Sylvain Flamant

专题命中 代码生成 ：code generation(abstract)；分类 cs.CL、cs.AI

AI-enhanced Auto-correction of Programming Exercises: How Effective is GPT-3.5?

Imen Azaiz, Oliver Deckarm, Sven Strickroth

专题命中 代码生成 ：code generation(abstract)；分类 cs.SE、cs.AI

Comments accepted to the International Journal of Engineering Pedagogy (iJEP; eISSN: 2192-4880)

Journal ref International Journal of Engineering Pedagogy (iJEP), 13(8), 2023, pp. 67-83

LLM4TDD: Best Practices for Test Driven Development Using Large Language Models

Sanyogita Piya, Allison Sullivan

专题命中 代码生成 ：program synthesis(abstract)；分类 cs.SE、cs.LG

ALGO: Synthesizing Algorithmic Programs with LLM-Generated Oracle Verifiers

Kexun Zhang, Danqing Wang, Jingtao Xia, William Yang Wang, Lei Li

专题命中 代码生成 ：code generation(abstract)；分类 cs.SE、cs.CL

Comments NeurIPS 2023

Universal Self-Consistency for Large Language Model Generation

Xinyun Chen, Renat Aksitov, Uri Alon, Jie Ren, Kefan Xiao, Pengcheng Yin, Sushant Prakash, Charles Sutton, Xuezhi Wang, Denny Zhou

专题命中 代码生成 ：code generation(abstract)；分类 cs.CL、cs.AI

LLM-Assisted Code Cleaning For Training Accurate Code Generators

Naman Jain, Tianjun Zhang, Wei-Lin Chiang, Joseph E. Gonzalez, Koushik Sen, Ion Stoica

专题命中 代码生成 ：code generation(abstract)；分类 cs.SE、cs.LG