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Reasoning Distillation and Structural Alignment for Improved Code Generation

https://doi.org/10.2139/ssrn.5403116
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Outgoing claims: the papers this work cites, builds on, or argues with.

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RoFormer: Enhanced transformer with Rotary Position Embedding
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Interpretability of BERT Latent Space through Knowledge Graphs
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Self-Collaboration Code Generation via ChatGPT
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Structured Chain-of-Thought Prompting for Code Generation
inferredcites →https://doi.org/10.1145/3747588openalex-snapshot
A Survey on Large Language Models for Code Generation
inferredcites →https://doi.org/10.18653/v1/2020.findings-emnlp.139openalex-snapshot
CodeBERT: A Pre-Trained Model for Programming and Natural Languages
inferredcites →https://doi.org/10.18653/v1/2021.findings-acl.395openalex-snapshot
Reordering Examples Helps during Priming-based Few-Shot Learning
inferredcites →https://doi.org/10.18653/v1/2022.acl-long.556openalex-snapshot
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity
inferredcites →https://doi.org/10.18653/v1/2023.acl-short.151openalex-snapshot
Teaching Small Language Models to Reason
inferredcites →https://doi.org/10.18653/v1/w19-4302openalex-snapshot
To Tune or Not to Tune? Adapting Pretrained Representations to Diverse Tasks
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AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at Scale
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Aion Framework: Dimensional Emergence of AI Consciousness, Observer-Induced Collapse, and Cosmological Portal Dynamics
inferredcites →https://doi.org/10.4230/oasics.icpec.2023.9openalex-snapshot
An Empirical Study of Problem-Aligned Multilingual Code Generation and Directed Code Translation by Large Language Models
inferredcites →https://doi.org/10.48550/arxiv.2001.08361openalex-snapshot
Scaling Laws for Neural Language Models
inferredcites →https://doi.org/10.48550/arxiv.2107.03374openalex-snapshot
A Direction-Aware Study of LLM-Based Code Translation Across Eight Programming Languages
inferredcites →https://doi.org/10.48550/arxiv.2203.11171openalex-snapshot
Self-Consistency Improves Chain of Thought Reasoning in Language Models
inferredcites →https://doi.org/10.48550/arxiv.2203.13474openalex-snapshot
CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis
inferredcites →https://doi.org/10.48550/arxiv.2204.05999openalex-snapshot
InCoder: A Generative Model for Code Infilling and Synthesis
inferredcites →https://doi.org/10.48550/arxiv.2206.07682openalex-snapshot
Emergent Abilities of Large Language Models
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Efficient Training of Language Models to Fill in the Middle
inferredcites →https://doi.org/10.48550/arxiv.2212.04089openalex-snapshot
Editing Models with Task Arithmetic
inferredcites →https://doi.org/10.48550/arxiv.2305.06599openalex-snapshot
Structured Chain-of-Thought Prompting for Code Generation
inferredcites →https://doi.org/10.48550/arxiv.2306.08568openalex-snapshot
WizardCoder: Empowering Code Large Language Models with Evol-Instruct
inferredcites →https://doi.org/10.48550/arxiv.2306.11644openalex-snapshot
Textbooks Are All You Need
inferredcites →https://doi.org/10.48550/arxiv.2310.10698openalex-snapshot
Bridging Code Semantic and LLMs: Semantic Chain-of-Thought Prompting for Code Generation
inferredcites →https://doi.org/10.48550/arxiv.2311.14904openalex-snapshot
LLM-Assisted Code Cleaning For Training Accurate Code Generators
inferredcites →https://doi.org/10.48550/arxiv.2404.00725openalex-snapshot
The Larger the Better? Improved LLM Code-Generation via Budget Reallocation
inferredcites →https://doi.org/10.48550/arxiv.2406.11589openalex-snapshot
CoSQA+: Pioneering the Multi-Choice Code Search Benchmark with Test-Driven Agents
inferredcites →https://doi.org/10.48550/arxiv.2407.05040openalex-snapshot
Code Less, Align More: Efficient LLM Fine-tuning for Code Generation with Data Pruning
inferredcites →https://doi.org/10.52202/075280-0377openalex-snapshot
Reflexion: language agents with verbal reinforcement learning
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Tree of Thoughts: Deliberate Problem Solving with Large Language Models
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