2024 "code generation" Papers

13 papers found

AST-T5: Structure-Aware Pretraining for Code Generation and Understanding

Linyuan Gong, Mostafa Elhoushi, Alvin Cheung

ICML 2024posterarXiv:2401.03003

Better & Faster Large Language Models via Multi-token Prediction

Fabian Gloeckle, Badr Youbi Idrissi, Baptiste Roziere et al.

ICML 2024posterarXiv:2404.19737

Code as Reward: Empowering Reinforcement Learning with VLMs

David Venuto, Mohammad Sami Nur Islam, Martin Klissarov et al.

ICML 2024spotlightarXiv:2402.04764

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

Zhijie Nie, Richong Zhang, Zhongyuan Wang et al.

AAAI 2024paperarXiv:2309.04695
18
citations

Do Large Code Models Understand Programming Concepts? Counterfactual Analysis for Code Predicates

Ashish Hooda, Mihai Christodorescu, Miltiadis Allamanis et al.

ICML 2024posterarXiv:2402.05980

DreamStruct: Understanding Slides and User Interfaces via Synthetic Data Generation

Yi-Hao Peng, Faria Huq, Yue Jiang et al.

ECCV 2024posterarXiv:2410.00201
11
citations

DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning

Siyuan Guo, Cheng Deng, Ying Wen et al.

ICML 2024posterarXiv:2402.17453

Entropy-Reinforced Planning with Large Language Models for Drug Discovery

Xuefeng Liu, Chih-chan Tien, Peng Ding et al.

ICML 2024posterarXiv:2406.07025

Evaluation of LLMs on Syntax-Aware Code Fill-in-the-Middle Tasks

Linyuan Gong, Sida Wang, Mostafa Elhoushi et al.

ICML 2024posterarXiv:2403.04814

Hot or Cold? Adaptive Temperature Sampling for Code Generation with Large Language Models

Yuqi Zhu, Jia Li, Ge Li et al.

AAAI 2024paperarXiv:2309.02772
56
citations

Magicoder: Empowering Code Generation with OSS-Instruct

Yuxiang Wei, Zhe Wang, Jiawei Liu et al.

ICML 2024posterarXiv:2312.02120

Q-Probe: A Lightweight Approach to Reward Maximization for Language Models

Kenneth Li, Samy Jelassi, Hugh Zhang et al.

ICML 2024posterarXiv:2402.14688

Stay on Topic with Classifier-Free Guidance

Guillaume Sanchez, Alexander Spangher, Honglu Fan et al.

ICML 2024spotlightarXiv:2306.17806