IFEvalCode: Controlled Code Generation

arXiv:2507.22462 · cs.CL · Submitted 2025-07-30 · Read on arXiv

cs.CL

Submitted: 2025-07-30

Updated: 2026-10-10

Project page: https://ifevalcode.github.io/Abstract

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Benchmark — 35× in this paper · explained in 2 episodes
• Accuracy — 6× in this paper · explained in 1 episode
• Editor — 5× in this paper · explained in 2 episodes
• Benchmarking — 4× in this paper · explained in 4 episodes
• Fine-Tuning — 4× in this paper · explained in 5 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Ablation Study — 3× in this paper · explained in 3 episodes
• Adam — 3× in this paper · explained in 2 episodes
• Consistency — 3× in this paper · explained in 3 episodes
• Papers — 3× in this paper · explained in 3 episodes
• Resource Constraints — 3× in this paper · explained in 4 episodes
• Structural Constraints — 3× in this paper · explained in 2 episodes
• Foundation Model — 2× in this paper · explained in 3 episodes
• Foundation Models — 2× in this paper · explained in 7 episodes
• Large Language Models (LLMs) — 2× in this paper · explained in 8 episodes
• Reinforcement Learning — 2× in this paper · explained in 4 episodes
• Verification — 2× in this paper · explained in 2 episodes
• Computational Biology — 1× in this paper · explained in 2 episodes
• Decoder — 1× in this paper · explained in 2 episodes
• EMMA — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Instruction Tuning — 1× in this paper · explained in 3 episodes
• LLM-as-a-Judge — 1× in this paper · explained in 3 episodes
• Mixture of Experts — 1× in this paper · explained in 2 episodes
• Modularity — 1× in this paper · explained in 9 episodes
• Multi-Agent Framework — 1× in this paper · explained in 3 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Semantic Understanding — 1× in this paper · explained in 2 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Transformers — 1× in this paper · explained in 2 episodes
• Weight Decay — 1× in this paper · explained in 2 episodes

Sources

• SantaCoder: don't reach for the stars!
• Program Synthesis with Large Language Models
• Qwen Technical Report
• Efficient Training of Language Models to Fill in the Middle
• McEval: Massively Multilingual Code Evaluation
• CodeR: Issue Resolving with Multi-Agent and Task Graphs
• Evaluating Large Language Models Trained on Code
• Gemma: Open Models Based on Gemini Research and Technology
• The Counterfeit Conundrum: Can Code Language Models Grasp the Nuances of Their Incorrect Generations?
• DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
• DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence
• OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models
• Qwen2.5-Coder Technical Report
• OpenAI o1 System Card
• LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code
• SWE-bench: Can Language Models Resolve Real-World GitHub Issues?
• xCodeEval: A Large Scale Multilingual Multitask Benchmark for Code Understanding, Generation, Translation and Retrieval
• StarCoder: may the source be with you!
• Competition-Level Code Generation with AlphaCode
• AutoKaggle: A Multi-Agent Framework for Autonomous Data Science Competitions

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