Image de couverture de livre

The Constraint Tax: Measuring Validity-Correctness Tradeoffs in Structured Outputs for Small Language Models

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteur principal:	Ray, Jaideep
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning Software Engineering
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Carbon-Taxed Transformers: A Green Compression Pipeline for Overgrown Language Models
par: Alam, Ajmain Inqiad, et autres
Publié: (2026)

Using Small Language Models to Reverse-Engineer Machine Learning Pipelines Structures
par: Lacroix, Nicolas, et autres
Publié: (2026)

Beyond Output Correctness: Benchmarking and Evaluating Large Language Model Reasoning in Coding Tasks
par: Li, Yuangang, et autres
Publié: (2026)

Calibration and Correctness of Language Models for Code
par: Spiess, Claudio, et autres
Publié: (2024)

Towards a Small Language Model Lifecycle Framework
par: Miraghaei, Parsa, et autres
Publié: (2025)

COSMosFL: Ensemble of Small Language Models for Fault Localisation
par: Cho, Hyunjoon, et autres
Publié: (2025)

DocuMint: Docstring Generation for Python using Small Language Models
par: Poudel, Bibek, et autres
Publié: (2024)

Correctness Assessment of Code Generated by Large Language Models Using Internal Representations
par: Bui, Tuan-Dung, et autres
Publié: (2025)

How to Sustainably Monitor ML-Enabled Systems? Accuracy and Energy Efficiency Tradeoffs in Concept Drift Detection
par: Omar, Rafiullah, et autres
Publié: (2024)

Integrating Large Language Models for Automated Structural Analysis
par: Liang, Haoran, et autres
Publié: (2025)

Prompt Smells: An Omen for Undesirable Generative AI Outputs
par: Ronanki, Krishna, et autres
Publié: (2024)

Generating Streamlining Constraints with Large Language Models
par: Voboril, Florentina, et autres
Publié: (2024)

HackerRank-ASTRA: Evaluating Correctness & Consistency of Large Language Models on cross-domain multi-file project problems
par: Xing, Jun, et autres
Publié: (2025)

Program Structure-aware Language Models: Targeted Software Testing beyond Textual Semantics
par: Tran, Khang, et autres
Publié: (2026)

DEM: A Method for Certifying Deep Neural Network Classifier Outputs in Aerospace
par: Katz, Guy, et autres
Publié: (2024)

MatchFixAgent: Language-Agnostic Autonomous Repository-Level Code Translation Validation and Repair
par: Ibrahimzada, Ali Reza, et autres
Publié: (2025)

Ensuring Functional Correctness of Large Code Models with Selective Generation
par: Jeong, Jaewoo, et autres
Publié: (2025)

ReCodeAgent: A Multi-Agent Workflow for Language-agnostic Translation and Validation of Large-scale Repositories
par: Ibrahimzada, Ali Reza, et autres
Publié: (2026)

Automatic Programming: Large Language Models and Beyond
par: Lyu, Michael R., et autres
Publié: (2024)

FunPRM: Function-as-Step Process Reward Model with Meta Reward Correction for Code Generation
par: Zhang, Ruiyi, et autres
Publié: (2026)

Otter: Generating Tests from Issues to Validate SWE Patches
par: Ahmed, Toufique, et autres
Publié: (2025)

ExplainFuzz: Explainable and Constraint-Conditioned Test Generation with Probabilistic Circuits
par: Baiget, Annaëlle, et autres
Publié: (2026)

Unsupervised Evaluation of Code LLMs with Round-Trip Correctness
par: Allamanis, Miltiadis, et autres
Publié: (2024)

A Large Scale Survey of Motivation in Software Development and Analysis of its Validity
par: Amit, Idan, et autres
Publié: (2024)

Unlearning Trojans in Large Language Models: A Comparison Between Natural Language and Source Code
par: Kazemi, Mahdi, et autres
Publié: (2024)

GLLM: Self-Corrective G-Code Generation using Large Language Models with User Feedback
par: Abdelaal, Mohamed, et autres
Publié: (2025)

Mechanistic Interpretability of Code Correctness in LLMs via Sparse Autoencoders
par: Tahimic, Kriz, et autres
Publié: (2025)

LEANCODE: Understanding Models Better for Code Simplification of Pre-trained Large Language Models
par: Wang, Yan, et autres
Publié: (2025)

Applying Large Language Models to Issue Classification: Revisiting with Extended Data and New Models
par: Aracena, Gabriel, et autres
Publié: (2025)

Models That Prove Their Own Correctness
par: Amit, Noga, et autres
Publié: (2024)

Large Language Models for Software Engineering: A Reproducibility Crisis
par: Siddiq, Mohammed Latif, et autres
Publié: (2025)

Revisiting the Plastic Surgery Hypothesis via Large Language Models
par: Xia, Chunqiu Steven, et autres
Publié: (2023)

Automatic Semantic Augmentation of Language Model Prompts (for Code Summarization)
par: Ahmed, Toufique, et autres
Publié: (2023)

Fuzz4All: Universal Fuzzing with Large Language Models
par: Xia, Chunqiu Steven, et autres
Publié: (2023)

Can Code Language Models Learn Clarification-Seeking Behaviors?
par: Wu, Jie JW, et autres
Publié: (2025)

AlphaTrans: A Neuro-Symbolic Compositional Approach for Repository-Level Code Translation and Validation
par: Ibrahimzada, Ali Reza, et autres
Publié: (2024)

Large Language Models for Analyzing Enterprise Architecture Debt in Unstructured Documentation
par: Pagels, Christin, et autres
Publié: (2026)

Enhancing Large Language Models with Faster Code Preprocessing for Vulnerability Detection
par: Gonçalves, José, et autres
Publié: (2025)

Using Large Language Models to Generate JUnit Tests: An Empirical Study
par: Siddiq, Mohammed Latif, et autres
Publié: (2023)

CARGO: A Framework for Confidence-Aware Routing of Large Language Models
par: Barrak, Amine, et autres
Publié: (2025)