Cover Image

Step Rejection Fine-Tuning: A Practical Distillation Recipe

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Slinko, Igor, Zavidnyi, Ilia, Bogomolov, Egor, Zharov, Yaroslav
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence Computation and Language Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On Problems of Implicit Context Compression for Software Engineering Agents
by: Gelvan, Kirill, et al.
Published: (2026)

The Complexity Trap: Simple Observation Masking Is as Efficient as LLM Summarization for Agent Context Management
by: Lindenbauer, Tobias, et al.
Published: (2025)

PIPer: On-Device Environment Setup via Online Reinforcement Learning
by: Kovrigin, Alexander, et al.
Published: (2025)

GitGoodBench: A Novel Benchmark For Evaluating Agentic Performance On Git
by: Lindenbauer, Tobias, et al.
Published: (2025)

EnvBench: A Benchmark for Automated Environment Setup
by: Eliseeva, Aleksandra, et al.
Published: (2025)

Drawing Pandas: A Benchmark for LLMs in Generating Plotting Code
by: Galimzyanov, Timur, et al.
Published: (2024)

Dynamic Retrieval-Augmented Generation
by: Shapkin, Anton, et al.
Published: (2023)

On The Importance of Reasoning for Context Retrieval in Repository-Level Code Editing
by: Kovrigin, Alexander, et al.
Published: (2024)

Challenge on Optimization of Context Collection for Code Completion
by: Ustalov, Dmitry, et al.
Published: (2025)

Predicting Intermittent Job Failure Categories for Diagnosis Using Few-Shot Fine-Tuned Language Models
by: Aïdasso, Henri, et al.
Published: (2026)

Eliciting Harmful Capabilities by Fine-Tuning On Safeguarded Outputs
by: Kaunismaa, Jackson, et al.
Published: (2026)

Stack Trace Deduplication: Faster, More Accurately, and in More Realistic Scenarios
by: Shibaev, Egor, et al.
Published: (2024)

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models
by: Ruiz, Fernando Vallecillos, et al.
Published: (2025)

The Impact of Fine-tuning Large Language Models on Automated Program Repair
by: Macháček, Roman, et al.
Published: (2025)

Diff-XYZ: A Benchmark for Evaluating Diff Understanding
by: Glukhov, Evgeniy, et al.
Published: (2025)

DDPT: Diffusion-Driven Prompt Tuning for Large Language Model Code Generation
by: Li, Jinyang, et al.
Published: (2025)

Towards Practical Defect-Focused Automated Code Review
by: Lu, Junyi, et al.
Published: (2025)

AlgoTune: Can Language Models Speed Up General-Purpose Numerical Programs?
by: Press, Ori, et al.
Published: (2025)

XFT: Unlocking the Power of Code Instruction Tuning by Simply Merging Upcycled Mixture-of-Experts
by: Ding, Yifeng, et al.
Published: (2024)

How Do Your Code LLMs Perform? Empowering Code Instruction Tuning with High-Quality Data
by: Wang, Yejie, et al.
Published: (2024)

Tool-Augmented LLMs as a Universal Interface for IDEs
by: Zharov, Yaroslav, et al.
Published: (2024)

Applying Large Language Models API to Issue Classification Problem
by: Aracena, Gabriel, et al.
Published: (2024)

Long Code Arena: a Set of Benchmarks for Long-Context Code Models
by: Bogomolov, Egor, et al.
Published: (2024)

TraceSafe: A Systematic Assessment of LLM Guardrails on Multi-Step Tool-Calling Trajectories
by: Chen, Yen-Shan, et al.
Published: (2026)

A Survey on Code Generation with LLM-based Agents
by: Dong, Yihong, et al.
Published: (2025)

StRuCom: A Novel Dataset of Structured Code Comments in Russian
by: Dziuba, Maria, et al.
Published: (2025)

Semantic-Preserving Transformations as Mutation Operators: A Study on Their Effectiveness in Defect Detection
by: Hort, Max, et al.
Published: (2025)

DocAgent: A Multi-Agent System for Automated Code Documentation Generation
by: Yang, Dayu, et al.
Published: (2025)

Codehacks: A Dataset of Adversarial Tests for Competitive Programming Problems Obtained from Codeforces
by: Hort, Max, et al.
Published: (2025)

ToolRegistry: A Protocol-Agnostic Tool Management Library for Function-Calling LLMs
by: Ding, Peng, et al.
Published: (2025)

CIDRe: A Reference-Free Multi-Aspect Criterion for Code Comment Quality Measurement
by: Dziuba, Maria, et al.
Published: (2025)

AppWorld: A Controllable World of Apps and People for Benchmarking Interactive Coding Agents
by: Trivedi, Harsh, et al.
Published: (2024)

Untangling Knots: Leveraging LLM for Error Resolution in Computational Notebooks
by: Grotov, Konstantin, et al.
Published: (2024)

Synergizing LLMs and Knowledge Graphs: A Novel Approach to Software Repository-Related Question Answering
by: Abedu, Samuel, et al.
Published: (2024)

SWE-Bench++: A Framework for the Scalable Generation of Software Engineering Benchmarks from Open-Source Repositories
by: Wang, Lilin, et al.
Published: (2025)

Code to Think, Think to Code: A Survey on Code-Enhanced Reasoning and Reasoning-Driven Code Intelligence in LLMs
by: Yang, Dayu, et al.
Published: (2025)

RovoDev Code Reviewer: A Large-Scale Online Evaluation of LLM-based Code Review Automation at Atlassian
by: Tantithamthavorn, Kla, et al.
Published: (2026)

Quantum-Inspired Differentiable Integral Neural Networks (QIDINNs): A Feynman-Based Architecture for Continuous Learning Over Streaming Data
by: Dapena, Oscar Boullosa
Published: (2025)

Free and Customizable Code Documentation with LLMs: A Fine-Tuning Approach
by: Chakrabarty, Sayak, et al.
Published: (2024)

CodeScout: An Effective Recipe for Reinforcement Learning of Code Search Agents
by: Sutawika, Lintang, et al.
Published: (2026)