MoSE: Hierarchical Self-Distillation Enhances Early Layer Embeddings
Fuente:
arXiv
Saved in:
| Main Authors: | Gurioli, Andrea, Pennino, Federico, Monteiro, João, Gabbrielli, Maurizio |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Do not copy and paste! Rewriting strategies for code retrieval
by: Gurioli, Andrea, et al.
Published: (2026)
by: Gurioli, Andrea, et al.
Published: (2026)
From Reasoning to Code: GRPO Optimization for Underrepresented Languages
by: Pennino, Federico, et al.
Published: (2025)
by: Pennino, Federico, et al.
Published: (2025)
Efficient and Scalable Provenance Tracking for LLM-Generated Code Snippets
by: Gurioli, Andrea, et al.
Published: (2026)
by: Gurioli, Andrea, et al.
Published: (2026)
From Code to Correctness: Closing the Last Mile of Code Generation with Hierarchical Debugging
by: Shi, Yuling, et al.
Published: (2024)
by: Shi, Yuling, et al.
Published: (2024)
Is Self-Repair a Silver Bullet for Code Generation?
by: Olausson, Theo X., et al.
Published: (2023)
by: Olausson, Theo X., et al.
Published: (2023)
Introduction to Analytical Software Engineering Design Paradigm
by: Houichime, Tarik, et al.
Published: (2025)
by: Houichime, Tarik, et al.
Published: (2025)
Benchmarking LLM Code Generation for Audio Programming with Visual Dataflow Languages
by: Zhang, William, et al.
Published: (2024)
by: Zhang, William, et al.
Published: (2024)
VisCoder2: Building Multi-Language Visualization Coding Agents
by: Ni, Yuansheng, et al.
Published: (2025)
by: Ni, Yuansheng, et al.
Published: (2025)
PerfCodeGen: Improving Performance of LLM Generated Code with Execution Feedback
by: Peng, Yun, et al.
Published: (2024)
by: Peng, Yun, et al.
Published: (2024)
Code Broker: A Multi-Agent System for Automated Code Quality Assessment
by: Attrah, Samer
Published: (2026)
by: Attrah, Samer
Published: (2026)
LLMs Lean on Priors, Not Programming Language Semantics
by: Thimmaiah, Aditya, et al.
Published: (2025)
by: Thimmaiah, Aditya, et al.
Published: (2025)
Refactoring Programs Using Large Language Models with Few-Shot Examples
by: Shirafuji, Atsushi, et al.
Published: (2023)
by: Shirafuji, Atsushi, et al.
Published: (2023)
Ranking LLM-Generated Loop Invariants for Program Verification
by: Chakraborty, Saikat, et al.
Published: (2023)
by: Chakraborty, Saikat, et al.
Published: (2023)
Comparing large language models and human programmers for generating programming code
by: Hou, Wenpin, et al.
Published: (2024)
by: Hou, Wenpin, et al.
Published: (2024)
DeepLL: Considering Linear Logic for the Analysis of Deep Learning Experiments
by: Papoulias, Nick
Published: (2024)
by: Papoulias, Nick
Published: (2024)
A Taxonomy of Prompt Defects in LLM Systems
by: Tian, Haoye, et al.
Published: (2025)
by: Tian, Haoye, et al.
Published: (2025)
PPM: Automated Generation of Diverse Programming Problems for Benchmarking Code Generation Models
by: Chen, Simin, et al.
Published: (2024)
by: Chen, Simin, et al.
Published: (2024)
Code Repair with LLMs gives an Exploration-Exploitation Tradeoff
by: Tang, Hao, et al.
Published: (2024)
by: Tang, Hao, et al.
Published: (2024)
CodeMind: Evaluating Large Language Models for Code Reasoning
by: Liu, Changshu, et al.
Published: (2024)
by: Liu, Changshu, et al.
Published: (2024)
Verus-SpecGym: An Agentic Environment for Evaluating Specification Autoformalization
by: Agarwal, Anmol, et al.
Published: (2026)
by: Agarwal, Anmol, et al.
Published: (2026)
LangGPT: Rethinking Structured Reusable Prompt Design Framework for LLMs from the Programming Language
by: Wang, Ming, et al.
Published: (2024)
by: Wang, Ming, et al.
Published: (2024)
debug-gym: A Text-Based Environment for Interactive Debugging
by: Yuan, Xingdi, et al.
Published: (2025)
by: Yuan, Xingdi, et al.
Published: (2025)
A Survey of Neural Code Intelligence: Paradigms, Advances and Beyond
by: Sun, Qiushi, et al.
Published: (2024)
by: Sun, Qiushi, et al.
Published: (2024)
Reinforcement Learning from Compiler and Language Server Feedback
by: Zhang, Yifan, et al.
Published: (2025)
by: Zhang, Yifan, et al.
Published: (2025)
AutoCode: LLMs as Problem Setters for Competitive Programming
by: Zhou, Shang, et al.
Published: (2025)
by: Zhou, Shang, et al.
Published: (2025)
Self-Improving Code Generation via Semantic Entropy and Behavioral Consensus
by: Zhang, Huan, et al.
Published: (2026)
by: Zhang, Huan, et al.
Published: (2026)
The Invisible Hand of AI Libraries Shaping Open Source Projects and Communities
by: Esposito, Matteo, et al.
Published: (2026)
by: Esposito, Matteo, et al.
Published: (2026)
LEGO-Compiler: Enhancing Neural Compilation Through Translation Composability
by: Zhang, Shuoming, et al.
Published: (2025)
by: Zhang, Shuoming, et al.
Published: (2025)
Enhancing Automated Loop Invariant Generation for Complex Programs with Large Language Models
by: Liu, Ruibang, et al.
Published: (2024)
by: Liu, Ruibang, et al.
Published: (2024)
AbstractBeam: Enhancing Bottom-Up Program Synthesis using Library Learning
by: Zenkner, Janis, et al.
Published: (2024)
by: Zenkner, Janis, et al.
Published: (2024)
ECO: Enhanced Code Optimization via Performance-Aware Prompting for Code-LLMs
by: Kim, Su-Hyeon, et al.
Published: (2025)
by: Kim, Su-Hyeon, et al.
Published: (2025)
SuperCoder: Assembly Program Superoptimization with Large Language Models
by: Wei, Anjiang, et al.
Published: (2025)
by: Wei, Anjiang, et al.
Published: (2025)
Evaluating LLM-Based Goal Extraction in Requirements Engineering: Prompting Strategies and Their Limitations
by: Arnaudo, Anna, et al.
Published: (2026)
by: Arnaudo, Anna, et al.
Published: (2026)
Functional Consistency of LLM Code Embeddings: A Self-Evolving Data Synthesis Framework for Benchmarking
by: Li, Zhuohao, et al.
Published: (2025)
by: Li, Zhuohao, et al.
Published: (2025)
Real-Time Performance Optimization of Travel Reservation Systems Using AI and Microservices
by: Barua, Biman, et al.
Published: (2024)
by: Barua, Biman, et al.
Published: (2024)
An LLM-as-Judge Metric for Bridging the Gap with Human Evaluation in SE Tasks
by: Zhou, Xin, et al.
Published: (2025)
by: Zhou, Xin, et al.
Published: (2025)
Enhancing Large Language Models in Coding Through Multi-Perspective Self-Consistency
by: Huang, Baizhou, et al.
Published: (2023)
by: Huang, Baizhou, et al.
Published: (2023)
Is This You, LLM? Recognizing AI-written Programs with Multilingual Code Stylometry
by: Gurioli, Andrea, et al.
Published: (2024)
by: Gurioli, Andrea, et al.
Published: (2024)
$\textbf{PLUM}$: Improving Code LMs with Execution-Guided On-Policy Preference Learning Driven By Synthetic Test Cases
by: Zhang, Dylan, et al.
Published: (2024)
by: Zhang, Dylan, et al.
Published: (2024)
Lita: Light Agent Uncovers the Agentic Coding Capabilities of LLMs
by: Dai, Hankun, et al.
Published: (2025)
by: Dai, Hankun, et al.
Published: (2025)
Similar Items
-
Do not copy and paste! Rewriting strategies for code retrieval
by: Gurioli, Andrea, et al.
Published: (2026) -
From Reasoning to Code: GRPO Optimization for Underrepresented Languages
by: Pennino, Federico, et al.
Published: (2025) -
Efficient and Scalable Provenance Tracking for LLM-Generated Code Snippets
by: Gurioli, Andrea, et al.
Published: (2026) -
From Code to Correctness: Closing the Last Mile of Code Generation with Hierarchical Debugging
by: Shi, Yuling, et al.
Published: (2024) -
Is Self-Repair a Silver Bullet for Code Generation?
by: Olausson, Theo X., et al.
Published: (2023)