:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Kolpakov, Alexander, Rivin, Igor
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence Software Engineering Social and Information Networks
Online Access:	https://arxiv.org/abs/2604.25209
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Dimensionality reduction for homological stability and global structure preservation
by: Kolpakov, Alexander, et al.
Published: (2025)

Fast Geometric Embedding for Node Influence Maximization
by: Kolpakov, Alexander, et al.
Published: (2025)

A ripple in time: a discontinuity in American history
by: Kolpakov, Alexander, et al.
Published: (2023)

Social Bias in LLM-Generated Code: Benchmark and Mitigation
by: Rabbi, Fazle, et al.
Published: (2026)

ReCode: Updating Code API Knowledge with Reinforcement Learning
by: Wu, Haoze, et al.
Published: (2025)

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

6GSoft: Software for Edge-to-Cloud Continuum
by: Akbar, Muhammad Azeem, et al.
Published: (2024)

A Defect is Being Born: How Close Are We? A Time Sensitive Forecasting Approach
by: Robredo, Mikel, et al.
Published: (2026)

Searching, fast and slow, through product catalogs
by: Ubrangala, Dayananda, et al.
Published: (2024)

Fairness Testing in Retrieval-Augmented Generation: How Small Perturbations Reveal Bias in Small Language Models
by: de Oliveira, Matheus Vinicius da Silva, et al.
Published: (2025)

LLM Based Long Code Translation using Identifier Replacement
by: Chakraborty, Manojit, et al.
Published: (2025)

LightDiC: A Simple yet Effective Approach for Large-scale Digraph Representation Learning
by: Li, Xunkai, et al.
Published: (2024)

SENSOR: An ML-Enhanced Online Annotation Tool to Uncover Privacy Concerns from User Reviews in Social-Media Applications
by: Farah, Labiba, et al.
Published: (2025)

DiTOX: Fault Detection and Localization in the ONNX Optimizer
by: Louloudakis, Nikolaos, et al.
Published: (2025)

Improved Bug Localization with AI Agents Leveraging Hypothesis and Dynamic Cognition
by: Samir, Asif Mohammed, et al.
Published: (2026)

CodeKGC: Code Language Model for Generative Knowledge Graph Construction
by: Bi, Zhen, et al.
Published: (2023)

Feedback Over Form: Why Execution Feedback Matters More Than Pipeline Topology in 1-3B Code Generation
by: McAndrews, Charles Junichi
Published: (2026)

INTA: Intent-Based Translation for Network Configuration with LLM Agents
by: Wei, Yunze, et al.
Published: (2025)

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

ReCode: Reinforcing Code Generation with Reasoning-Process Rewards
by: Fan, Lishui, et al.
Published: (2025)

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

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

ReLoop: Structured Modeling and Behavioral Verification for Reliable LLM-Based Optimization
by: Lian, Junbo Jacob, et al.
Published: (2026)

ReGA: Model-Based Safeguard for LLMs via Representation-Guided Abstraction
by: Wei, Zeming, et al.
Published: (2025)

Dynamic ReAct: Scalable Tool Selection for Large-Scale MCP Environments
by: Gaurav, Nishant, et al.
Published: (2025)

Impact of the Availability of ChatGPT on Software Development: A Synthetic Difference in Differences Estimation using GitHub Data
by: Quispe, Alexander, et al.
Published: (2024)

Step Rejection Fine-Tuning: A Practical Distillation Recipe
by: Slinko, Igor, et al.
Published: (2026)

Towards Graph Contrastive Learning: A Survey and Beyond
by: Ju, Wei, et al.
Published: (2024)

RePlay: a Recommendation Framework for Experimentation and Production Use
by: Vasilev, Alexey, et al.
Published: (2024)

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

Adaptation of XAI to Auto-tuning for Numerical Libraries
by: Aoki, Shota, et al.
Published: (2024)

BUILDING FINANCIAL DASHBOARD TOWARDS BETTER MANAGEMENT OF PROFITABILITY FOR BANKS AND NON-BANK FINANCIAL ORGANIZATIONS
by: Rakib Uddin, Ahmed
Published: (2022)

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

Uncertainty and Fairness Awareness in LLM-Based Recommendation Systems
by: Sah, Chandan Kumar, et al.
Published: (2026)

Learning Performance-Improving Code Edits
by: Shypula, Alexander, et al.
Published: (2023)

Enhancing LLM-Based Test Generation by Eliminating Covered Code
by: Xu, WeiZhe, et al.
Published: (2026)

Can LLMs Reason Like Automated Theorem Provers for Rust Verification? VCoT-Bench: Evaluating via Verification Chain of Thought
by: Xie, Zichen, et al.
Published: (2026)

R-LAM: Reproducibility-Constrained Large Action Models for Scientific Workflow Automation
by: Sureshkumar, Suriya
Published: (2026)

Benchmarking Reward Hack Detection in Code Environments via Contrastive Analysis
by: Deshpande, Darshan, et al.
Published: (2026)

The Causal Impact of Tool Affordance on Safety Alignment in LLM Agents
by: Yu, Shasha, et al.
Published: (2026)