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CodeUltraFeedback: An LLM-as-a-Judge Dataset for Aligning Large Language Models to Coding Preferences

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.jss.2020.110825openalex-snapshot

A comprehensive study of automatic program repair on the QuixBugs benchmark

inferredcites →https://doi.org/10.1109/saner56733.2023.00049openalex-snapshot

A Multi-Step Learning Approach to Assist Code Review

inferredcites →https://doi.org/10.1145/2914770.2837671openalex-snapshot

Learning programs from noisy data

inferredcites →https://doi.org/10.1145/3022671.2984041openalex-snapshot

Probabilistic model for code with decision trees

inferredcites →https://doi.org/10.1145/3597503.3623316openalex-snapshot

CoderEval: A Benchmark of Pragmatic Code Generation with Generative Pre-trained Models

inferredcites →https://doi.org/10.1145/3731753openalex-snapshot

Ecosystem of Large Language Models for Code

inferredcites →https://doi.org/10.18653/v1/2024.findings-eacl.148openalex-snapshot

ICE-Score: Instructing Large Language Models to Evaluate Code

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1016/j.compedu.2025.105448openalex-snapshot

Towards reliable generative AI-driven scaffolding: Reducing hallucinations and enhancing quality in self-regulated learning support

inferred← citeshttps://doi.org/10.1109/ase63991.2025.00214openalex-snapshot

SE-Jury: An LLM-as-Ensemble-Judge Metric for Narrowing the Gap with Human Evaluation in SE

inferred← citeshttps://doi.org/10.1109/icse-companion66252.2025.00081openalex-snapshot

CODEMORPH: Mitigating Data Leakage in Large Language Model Assessment

inferred← citeshttps://doi.org/10.1109/tse.2025.3586082openalex-snapshot

On the Effectiveness of LLM-as-a-Judge for Code Generation and Summarization

inferred← citeshttps://doi.org/10.1109/tse.2025.3644183openalex-snapshot

Benchmarking AI Models in Software Engineering: A Review, Search Tool, and Unified Approach for Elevating Benchmark Quality

inferred← citeshttps://doi.org/10.1145/3696630.3731462openalex-snapshot

Generating Code Tours Using Locally-Runnable LLMs

inferred← citeshttps://doi.org/10.1145/3712008openalex-snapshot

Automation in Model-Driven Engineering: A Look Back, and Ahead

inferred← citeshttps://doi.org/10.1145/3794763.3794819openalex-snapshot

Guidelines to Prompt Large Language Models for Code Generation: An Empirical Characterization

inferred← citeshttps://doi.org/10.1145/3808123openalex-snapshot

Reward-Free Code Alignment from Pretrained or Fine-Tuned LLM: Unpacking the Trade-offs for Code Generation

inferred← citeshttps://doi.org/10.3390/electronics14224442openalex-snapshot

Interactive End-to-End Decompilation via Large Language Models

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