AbstractBeam: Enhancing Bottom-Up Program Synthesis using Library Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Zenkner, Janis, Dierkes, Lukas, Sesterhenn, Tobias, Bartelt, Chrisitan |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Shedding Light in Task Decomposition in Program Synthesis: The Driving Force of the Synthesizer Model
by: Zenkner, Janis, et al.
Published: (2025)
by: Zenkner, Janis, et al.
Published: (2025)
Beyond Either-Or Reasoning: Transduction and Induction as Cooperative Problem-Solving Paradigms
by: Zenkner, Janis, et al.
Published: (2025)
by: Zenkner, Janis, et al.
Published: (2025)
A Compute-Matched Re-Evaluation of TroVE on MATH
by: Sesterhenn, Tobias, et al.
Published: (2025)
by: Sesterhenn, Tobias, et al.
Published: (2025)
Herb.jl: A Unifying Program Synthesis Library
by: Hinnerichs, Tilman, et al.
Published: (2025)
by: Hinnerichs, Tilman, et al.
Published: (2025)
Structured Program Synthesis using LLMs: Results and Insights from the IPARC Challenge
by: Surana, Shraddha, et al.
Published: (2025)
by: Surana, Shraddha, et al.
Published: (2025)
Learning to Guarantee Type Correctness in Code Generation through Type-Guided Program Synthesis
by: Huang, Zhechong, et al.
Published: (2025)
by: Huang, Zhechong, et al.
Published: (2025)
Certified Program Synthesis with a Multi-Modal Verifier
by: Feng, Yueyang, et al.
Published: (2026)
by: Feng, Yueyang, et al.
Published: (2026)
Towards Neural Synthesis for SMT-Assisted Proof-Oriented Programming
by: Chakraborty, Saikat, et al.
Published: (2024)
by: Chakraborty, Saikat, et al.
Published: (2024)
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)
Program Skeletons for Automated Program Translation
by: Wang, Bo, et al.
Published: (2025)
by: Wang, Bo, 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)
Can LLMs Enable Verification in Mainstream Programming?
by: Shefer, Aleksandr, et al.
Published: (2025)
by: Shefer, Aleksandr, et al.
Published: (2025)
dafny-annotator: AI-Assisted Verification of Dafny Programs
by: Poesia, Gabriel, et al.
Published: (2024)
by: Poesia, Gabriel, et al.
Published: (2024)
Towards Repository-Level Program Verification with Large Language Models
by: Zhong, Si Cheng, et al.
Published: (2025)
by: Zhong, Si Cheng, et al.
Published: (2025)
Agentic Interpretation: Lattice-Structured Evidence for LLM-Based Program Analysis
by: Mitchell, Jacqueline L., et al.
Published: (2026)
by: Mitchell, Jacqueline L., et al.
Published: (2026)
Natural Language-Oriented Programming (NLOP): Towards Democratizing Software Creation
by: Beheshti, Amin
Published: (2024)
by: Beheshti, Amin
Published: (2024)
Static Program Slicing Using Language Models With Dataflow-Aware Pretraining and Constrained Decoding
by: He, Pengfei, et al.
Published: (2026)
by: He, Pengfei, et al.
Published: (2026)
AI Coders Are Among Us: Rethinking Programming Language Grammar Towards Efficient Code Generation
by: Sun, Zhensu, et al.
Published: (2024)
by: Sun, Zhensu, et al.
Published: (2024)
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)
Evaluating the Performance of Large Language Models in Competitive Programming: A Multi-Year, Multi-Grade Analysis
by: Dumitran, Adrian Marius, et al.
Published: (2024)
by: Dumitran, Adrian Marius, et al.
Published: (2024)
Doc2Spec: Synthesizing Formal Programming Specifications from Natural Language via Grammar Induction
by: Xia, Shihao, et al.
Published: (2026)
by: Xia, Shihao, et al.
Published: (2026)
Can LLMs Reason About Program Semantics? A Comprehensive Evaluation of LLMs on Formal Specification Inference
by: Le-Cong, Thanh, et al.
Published: (2025)
by: Le-Cong, Thanh, et al.
Published: (2025)
Steerable Instruction Following Coding Data Synthesis with Actor-Parametric Schema Co-Evolution
by: Huang, Tinglin, et al.
Published: (2026)
by: Huang, Tinglin, et al.
Published: (2026)
Agentic Program Repair from Test Failures at Scale: A Neuro-symbolic approach with static analysis and test execution feedback
by: Maddila, Chandra, et al.
Published: (2025)
by: Maddila, Chandra, et al.
Published: (2025)
LEGO-Compiler: Enhancing Neural Compilation Through Translation Composability
by: Zhang, Shuoming, et al.
Published: (2025)
by: Zhang, Shuoming, et al.
Published: (2025)
LLMs Lean on Priors, Not Programming Language Semantics
by: Thimmaiah, Aditya, et al.
Published: (2025)
by: Thimmaiah, Aditya, 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)
Ranking LLM-Generated Loop Invariants for Program Verification
by: Chakraborty, Saikat, et al.
Published: (2023)
by: Chakraborty, Saikat, et al.
Published: (2023)
AutoCode: LLMs as Problem Setters for Competitive Programming
by: Zhou, Shang, et al.
Published: (2025)
by: Zhou, Shang, et al.
Published: (2025)
Stdlib or Third-Party? Empirical Performance and Correctness of LLM-Assisted Zero-Dependency Python Libraries
by: Ding, Peng, et al.
Published: (2026)
by: Ding, Peng, et al.
Published: (2026)
GitChameleon 2.0: Evaluating AI Code Generation Against Python Library Version Incompatibilities
by: Misra, Diganta, et al.
Published: (2025)
by: Misra, Diganta, et al.
Published: (2025)
Solving Data-centric Tasks using Large Language Models
by: Barke, Shraddha, et al.
Published: (2024)
by: Barke, Shraddha, et al.
Published: (2024)
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)
Refactoring Programs Using Large Language Models with Few-Shot Examples
by: Shirafuji, Atsushi, et al.
Published: (2023)
by: Shirafuji, Atsushi, et al.
Published: (2023)
AutoMCQ -- Automatically Generate Code Comprehension Questions using GenAI
by: Goodfellow, Martin, et al.
Published: (2025)
by: Goodfellow, Martin, 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)
A Joint Learning Model with Variational Interaction for Multilingual Program Translation
by: Du, Yali, et al.
Published: (2024)
by: Du, Yali, et al.
Published: (2024)
SLMFix: Leveraging Small Language Models for Error Fixing with Reinforcement Learning
by: Fu, David Jiahao, et al.
Published: (2025)
by: Fu, David Jiahao, et al.
Published: (2025)
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)
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)
Similar Items
-
Shedding Light in Task Decomposition in Program Synthesis: The Driving Force of the Synthesizer Model
by: Zenkner, Janis, et al.
Published: (2025) -
Beyond Either-Or Reasoning: Transduction and Induction as Cooperative Problem-Solving Paradigms
by: Zenkner, Janis, et al.
Published: (2025) -
A Compute-Matched Re-Evaluation of TroVE on MATH
by: Sesterhenn, Tobias, et al.
Published: (2025) -
Herb.jl: A Unifying Program Synthesis Library
by: Hinnerichs, Tilman, et al.
Published: (2025) -
Structured Program Synthesis using LLMs: Results and Insights from the IPARC Challenge
by: Surana, Shraddha, et al.
Published: (2025)