REINFOREST: Reinforcing Semantic Code Similarity for Cross-Lingual Code Search Models
Fuente:
arXiv
Saved in:
| Main Authors: | Saieva, Anthony, Chakraborty, Saikat, Kaiser, Gail |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SemCoder: Training Code Language Models with Comprehensive Semantics Reasoning
by: Ding, Yangruibo, et al.
Published: (2024)
by: Ding, Yangruibo, et al.
Published: (2024)
Can Large Language Models Transform Natural Language Intent into Formal Method Postconditions?
by: Endres, Madeline, et al.
Published: (2023)
by: Endres, Madeline, et al.
Published: (2023)
Automated Code Editing with Search-Generate-Modify
by: Liu, Changshu, et al.
Published: (2023)
by: Liu, Changshu, et al.
Published: (2023)
EnvTrace: Simulation-Based Semantic Evaluation of LLM Code via Execution Trace Alignment -- Demonstrated at Synchrotron Beamlines
by: van der Vleuten, Noah, et al.
Published: (2025)
by: van der Vleuten, Noah, 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)
Is Functional Correctness Enough to Evaluate Code Language Models? Exploring Diversity of Generated Codes
by: Chon, Heejae, et al.
Published: (2024)
by: Chon, Heejae, et al.
Published: (2024)
CodeIF-Bench: Evaluating Instruction-Following Capabilities of Large Language Models in Interactive Code Generation
by: Wang, Peiding, et al.
Published: (2025)
by: Wang, Peiding, et al.
Published: (2025)
CodeMind: Evaluating Large Language Models for Code Reasoning
by: Liu, Changshu, et al.
Published: (2024)
by: Liu, Changshu, et al.
Published: (2024)
A Preliminary Study of Multilingual Code Language Models for Code Generation Task Using Translated Benchmarks
by: Dandamudi, Rohit, et al.
Published: (2024)
by: Dandamudi, Rohit, et al.
Published: (2024)
Agentic Code Reasoning
by: Ugare, Shubham, et al.
Published: (2026)
by: Ugare, Shubham, et al.
Published: (2026)
Beyond Code Pairs: Dialogue-Based Data Generation for LLM Code Translation
by: Chen, Le, et al.
Published: (2025)
by: Chen, Le, et al.
Published: (2025)
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)
ClassInvGen: Class Invariant Synthesis using Large Language Models
by: Sun, Chuyue, et al.
Published: (2025)
by: Sun, Chuyue, et al.
Published: (2025)
Assessing Code Understanding in LLMs
by: Laneve, Cosimo, et al.
Published: (2025)
by: Laneve, Cosimo, et al.
Published: (2025)
Dynamic Stability of LLM-Generated Code
by: Rajput, Prateek, et al.
Published: (2025)
by: Rajput, Prateek, et al.
Published: (2025)
AI-Mediated Code Comment Improvement
by: Dhakal, Maria, et al.
Published: (2025)
by: Dhakal, Maria, et al.
Published: (2025)
Towards Neural Synthesis for SMT-Assisted Proof-Oriented Programming
by: Chakraborty, Saikat, et al.
Published: (2024)
by: Chakraborty, Saikat, et al.
Published: (2024)
CodeScout: An Effective Recipe for Reinforcement Learning of Code Search Agents
by: Sutawika, Lintang, et al.
Published: (2026)
by: Sutawika, Lintang, et al.
Published: (2026)
Effective LLM-Driven Code Generation with Pythoness
by: Levin, Kyla H., et al.
Published: (2025)
by: Levin, Kyla H., et al.
Published: (2025)
Analysis of AdvFusion: Adapter-based Multilingual Learning for Code Large Language Models
by: Esmaeili, Amirreza, et al.
Published: (2025)
by: Esmaeili, Amirreza, 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)
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)
CodeRL+: Improving Code Generation via Reinforcement with Execution Semantics Alignment
by: Jiang, Xue, et al.
Published: (2025)
by: Jiang, Xue, et al.
Published: (2025)
AInsteinBench: Benchmarking Coding Agents on Scientific Repositories
by: Duston, Titouan, et al.
Published: (2025)
by: Duston, Titouan, et al.
Published: (2025)
AI-Assisted Fixes to Code Review Comments at Scale
by: Maddila, Chandra, et al.
Published: (2025)
by: Maddila, Chandra, et al.
Published: (2025)
Fine-Tuning Multilingual Language Models for Code Review: An Empirical Study on Industrial C# Projects
by: Begolli, Igli, et al.
Published: (2025)
by: Begolli, Igli, et al.
Published: (2025)
Perish or Flourish? A Holistic Evaluation of Large Language Models for Code Generation in Functional Programming
by: Lang, Nguyet-Anh H., et al.
Published: (2026)
by: Lang, Nguyet-Anh H., et al.
Published: (2026)
CodeSense: a Real-World Benchmark and Dataset for Code Semantic Reasoning
by: Roy, Monoshi Kumar, et al.
Published: (2025)
by: Roy, Monoshi Kumar, et al.
Published: (2025)
Insights from the Usage of the Ansible Lightspeed Code Completion Service
by: Sahoo, Priyam, et al.
Published: (2024)
by: Sahoo, Priyam, et al.
Published: (2024)
Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation
by: Fang, Sen, et al.
Published: (2025)
by: Fang, Sen, et al.
Published: (2025)
A Problem-Oriented Perspective and Anchor Verification for Code Optimization
by: Ye, Tong, et al.
Published: (2024)
by: Ye, Tong, et al.
Published: (2024)
Benchmarking Large Language Models for ABAP Code Generation: An Empirical Study on Iterative Improvement by Compiler Feedback
by: Wallraven, Stephan, et al.
Published: (2026)
by: Wallraven, Stephan, et al.
Published: (2026)
MonoCoder: Domain-Specific Code Language Model for HPC Codes and Tasks
by: Kadosh, Tal, et al.
Published: (2023)
by: Kadosh, Tal, et al.
Published: (2023)
Hydra: Efficient, Correct Code Generation via Checkpoint-and-Rollback Support
by: Du, Alexander, et al.
Published: (2026)
by: Du, Alexander, et al.
Published: (2026)
Assessing GPT-4-Vision's Capabilities in UML-Based Code Generation
by: Antal, Gábor, et al.
Published: (2024)
by: Antal, Gábor, et al.
Published: (2024)
Executing as You Generate: Hiding Execution Latency in LLM Code Generation
by: Sun, Zhensu, et al.
Published: (2026)
by: Sun, Zhensu, et al.
Published: (2026)
Do Large Code Models Understand Programming Concepts? Counterfactual Analysis for Code Predicates
by: Hooda, Ashish, et al.
Published: (2024)
by: Hooda, Ashish, et al.
Published: (2024)
From Code Generation to Software Testing: AI Copilot with Context-Based RAG
by: Wang, Yuchen, et al.
Published: (2025)
by: Wang, Yuchen, et al.
Published: (2025)
AutoMCQ -- Automatically Generate Code Comprehension Questions using GenAI
by: Goodfellow, Martin, et al.
Published: (2025)
by: Goodfellow, Martin, et al.
Published: (2025)
Similar Items
-
SemCoder: Training Code Language Models with Comprehensive Semantics Reasoning
by: Ding, Yangruibo, et al.
Published: (2024) -
Can Large Language Models Transform Natural Language Intent into Formal Method Postconditions?
by: Endres, Madeline, et al.
Published: (2023) -
Automated Code Editing with Search-Generate-Modify
by: Liu, Changshu, et al.
Published: (2023) -
EnvTrace: Simulation-Based Semantic Evaluation of LLM Code via Execution Trace Alignment -- Demonstrated at Synchrotron Beamlines
by: van der Vleuten, Noah, et al.
Published: (2025) -
Self-Improving Code Generation via Semantic Entropy and Behavioral Consensus
by: Zhang, Huan, et al.
Published: (2026)