Saved in:
| Main Authors: | Le, Hung, Chen, Hailin, Saha, Amrita, Gokul, Akash, Sahoo, Doyen, Joty, Shafiq |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2310.08992 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Personalised Distillation: Empowering Open-Sourced LLMs with Adaptive Learning for Code Generation
by: Chen, Hailin, et al.
Published: (2023)
by: Chen, Hailin, et al.
Published: (2023)
INDICT: Code Generation with Internal Dialogues of Critiques for Both Security and Helpfulness
by: Le, Hung, et al.
Published: (2024)
by: Le, Hung, et al.
Published: (2024)
PerfCodeGen: Improving Performance of LLM Generated Code with Execution Feedback
by: Peng, Yun, et al.
Published: (2024)
by: Peng, Yun, et al.
Published: (2024)
CodeTree: Agent-guided Tree Search for Code Generation with Large Language Models
by: Li, Jierui, et al.
Published: (2024)
by: Li, Jierui, et al.
Published: (2024)
Scaling Code-Assisted Chain-of-Thoughts and Instructions for Model Reasoning
by: Lin, Honglin, et al.
Published: (2025)
by: Lin, Honglin, et al.
Published: (2025)
Self-Infilling Code Generation
by: Zheng, Lin, et al.
Published: (2023)
by: Zheng, Lin, et al.
Published: (2023)
Automatic Curriculum Expert Iteration for Reliable LLM Reasoning
by: Zhao, Zirui, et al.
Published: (2024)
by: Zhao, Zirui, et al.
Published: (2024)
XForecast: Evaluating Natural Language Explanations for Time Series Forecasting
by: Aksu, Taha, et al.
Published: (2024)
by: Aksu, Taha, et al.
Published: (2024)
Generating Equivalent Representations of Code By A Self-Reflection Approach
by: Li, Jia, et al.
Published: (2024)
by: Li, Jia, et al.
Published: (2024)
Investigating Factuality in Long-Form Text Generation: The Roles of Self-Known and Self-Unknown
by: Tu, Lifu, et al.
Published: (2024)
by: Tu, Lifu, et al.
Published: (2024)
Beyond Code Pairs: Dialogue-Based Data Generation for LLM Code Translation
by: Chen, Le, et al.
Published: (2025)
by: Chen, Le, et al.
Published: (2025)
Picat Through the Lens of Advent of Code
by: Zhou, Neng-Fa, et al.
Published: (2025)
by: Zhou, Neng-Fa, et al.
Published: (2025)
Is Self-Repair a Silver Bullet for Code Generation?
by: Olausson, Theo X., et al.
Published: (2023)
by: Olausson, Theo X., et al.
Published: (2023)
SymCode: A Neurosymbolic Approach to Mathematical Reasoning via Verifiable Code Generation
by: Nezhad, Sina Bagheri, et al.
Published: (2025)
by: Nezhad, Sina Bagheri, et al.
Published: (2025)
Constrained Code Generation with Discrete Diffusion
by: Shao, Lize, et al.
Published: (2026)
by: Shao, Lize, et al.
Published: (2026)
SecCoder: Towards Generalizable and Robust Secure Code Generation
by: Zhang, Boyu, et al.
Published: (2024)
by: Zhang, Boyu, et al.
Published: (2024)
Scalable Chain of Thoughts via Elastic Reasoning
by: Xu, Yuhui, et al.
Published: (2025)
by: Xu, Yuhui, et al.
Published: (2025)
Fractured Chain-of-Thought Reasoning
by: Liao, Baohao, et al.
Published: (2025)
by: Liao, Baohao, et al.
Published: (2025)
A Calculus for Unreachable Code
by: Zhong, Peter, et al.
Published: (2024)
by: Zhong, Peter, et al.
Published: (2024)
Code Generation for Cryptographic Kernels using Multi-word Modular Arithmetic on GPU
by: Zhang, Naifeng, et al.
Published: (2025)
by: Zhang, Naifeng, et al.
Published: (2025)
FPMoE: A Sparse Mixture-of-Experts Approach to Functional Code Generation
by: Pham, Loc, et al.
Published: (2026)
by: Pham, Loc, et al.
Published: (2026)
Aligning Text, Code, and Vision: A Multi-Objective Reinforcement Learning Framework for Text-to-Visualization
by: Rahman, Mizanur, et al.
Published: (2026)
by: Rahman, Mizanur, et al.
Published: (2026)
Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources
by: Li, Xingxuan, et al.
Published: (2023)
by: Li, Xingxuan, et al.
Published: (2023)
ParaICL: Towards Parallel In-Context Learning
by: Li, Xingxuan, et al.
Published: (2024)
by: Li, Xingxuan, et al.
Published: (2024)
Towards a Coq-verified Chain of Esterel Semantics
by: Berry, Gérard, et al.
Published: (2019)
by: Berry, Gérard, et al.
Published: (2019)
Unsupervised Summarization Re-ranking
by: Ravaut, Mathieu, et al.
Published: (2022)
by: Ravaut, Mathieu, et al.
Published: (2022)
From Code to Correctness: Closing the Last Mile of Code Generation with Hierarchical Debugging
by: Shi, Yuling, et al.
Published: (2024)
by: Shi, Yuling, et al.
Published: (2024)
On Code-Induced Reasoning in LLMs
by: Waheed, Abdul, et al.
Published: (2025)
by: Waheed, Abdul, et al.
Published: (2025)
Aguvis: Unified Pure Vision Agents for Autonomous GUI Interaction
by: Xu, Yiheng, et al.
Published: (2024)
by: Xu, Yiheng, et al.
Published: (2024)
Source-to-Source Transformations for GPU Code Generation
by: de Castelnau, Julien, et al.
Published: (2026)
by: de Castelnau, Julien, et al.
Published: (2026)
DOCE: Finding the Sweet Spot for Execution-Based Code Generation
by: Li, Haau-Sing, et al.
Published: (2024)
by: Li, Haau-Sing, et al.
Published: (2024)
MathHay: An Automated Benchmark for Long-Context Mathematical Reasoning in LLMs
by: Wang, Lei, et al.
Published: (2024)
by: Wang, Lei, et al.
Published: (2024)
Towards Formal Verification of LLM-Generated Code from Natural Language Prompts
by: Councilman, Aaron, et al.
Published: (2025)
by: Councilman, Aaron, et al.
Published: (2025)
CodeCloak: A Method for Evaluating and Mitigating Code Leakage by LLM Code Assistants
by: Noah, Amit Finkman, et al.
Published: (2024)
by: Noah, Amit Finkman, et al.
Published: (2024)
NAACL2025 Tutorial: Adaptation of Large Language Models
by: Ke, Zixuan, et al.
Published: (2025)
by: Ke, Zixuan, et al.
Published: (2025)
AI Coding Agents Need Better Compiler Remarks
by: Deo, Akash, et al.
Published: (2026)
by: Deo, Akash, et al.
Published: (2026)
Pareto Optimal Code Generation
by: Orlanski, Gabriel, et al.
Published: (2025)
by: Orlanski, Gabriel, et al.
Published: (2025)
PerfCodeBench: Benchmarking LLMs for System-Level High-Performance Code Optimization
by: Jing, Huihao, et al.
Published: (2026)
by: Jing, Huihao, et al.
Published: (2026)
Enhancing LLM Code Generation Capabilities through Test-Driven Development and Code Interpreter
by: Jalil, Sajed, et al.
Published: (2025)
by: Jalil, Sajed, et al.
Published: (2025)
ChatGPT's One-year Anniversary: Are Open-Source Large Language Models Catching up?
by: Chen, Hailin, et al.
Published: (2023)
by: Chen, Hailin, et al.
Published: (2023)
Similar Items
-
Personalised Distillation: Empowering Open-Sourced LLMs with Adaptive Learning for Code Generation
by: Chen, Hailin, et al.
Published: (2023) -
INDICT: Code Generation with Internal Dialogues of Critiques for Both Security and Helpfulness
by: Le, Hung, et al.
Published: (2024) -
PerfCodeGen: Improving Performance of LLM Generated Code with Execution Feedback
by: Peng, Yun, et al.
Published: (2024) -
CodeTree: Agent-guided Tree Search for Code Generation with Large Language Models
by: Li, Jierui, et al.
Published: (2024) -
Scaling Code-Assisted Chain-of-Thoughts and Instructions for Model Reasoning
by: Lin, Honglin, et al.
Published: (2025)