A Behavior Tree-inspired programming language for autonomous agents
Fuente:
arXiv
Saved in:
| Main Authors: | Biggar, Oliver, Shames, Iman |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
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)
Self-Improving Code Generation via Semantic Entropy and Behavioral Consensus
by: Zhang, Huan, et al.
Published: (2026)
by: Zhang, Huan, et al.
Published: (2026)
Pretrained Embeddings as a Behavior Specification Mechanism
by: Kapoor, Parv, et al.
Published: (2025)
by: Kapoor, Parv, et al.
Published: (2025)
Turn: A Language for Agentic Computation
by: Kizito, Muyukani
Published: (2026)
by: Kizito, Muyukani
Published: (2026)
Phyelds: A Pythonic Framework for Aggregate Computing
by: Aguzzi, Gianluca, et al.
Published: (2026)
by: Aguzzi, Gianluca, et al.
Published: (2026)
Herb.jl: A Unifying Program Synthesis Library
by: Hinnerichs, Tilman, et al.
Published: (2025)
by: Hinnerichs, Tilman, 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)
The New Compiler Stack: A Survey on the Synergy of LLMs and Compilers
by: Zhang, Shuoming, et al.
Published: (2026)
by: Zhang, Shuoming, et al.
Published: (2026)
A Declarative Language for Building And Orchestrating LLM-Powered Agent Workflows
by: Daunis, Ivan
Published: (2025)
by: Daunis, Ivan
Published: (2025)
Blueprint First, Model Second: A Framework for Deterministic LLM Workflow
by: Qiu, Libin, et al.
Published: (2025)
by: Qiu, Libin, et al.
Published: (2025)
Reverse Chain: A Generic-Rule for LLMs to Master Multi-API Planning
by: Zhang, Yinger, et al.
Published: (2023)
by: Zhang, Yinger, et al.
Published: (2023)
LecPrompt: A Prompt-based Approach for Logical Error Correction with CodeBERT
by: Xu, Zhenyu, et al.
Published: (2024)
by: Xu, Zhenyu, et al.
Published: (2024)
Shepherd: A Runtime Substrate Empowering Meta-Agents with a Formalized Execution Trace
by: Yu, Simon, et al.
Published: (2026)
by: Yu, Simon, et al.
Published: (2026)
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)
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)
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)
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)
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)
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)
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)
Solving Data-centric Tasks using Large Language Models
by: Barke, Shraddha, et al.
Published: (2024)
by: Barke, Shraddha, et al.
Published: (2024)
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)
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)
Towards Neural Synthesis for SMT-Assisted Proof-Oriented Programming
by: Chakraborty, Saikat, et al.
Published: (2024)
by: Chakraborty, Saikat, et al.
Published: (2024)
Kotlin ML Pack: Technical Report
by: Titov, Sergey, et al.
Published: (2024)
by: Titov, Sergey, et al.
Published: (2024)
Natural Language-Oriented Programming (NLOP): Towards Democratizing Software Creation
by: Beheshti, Amin
Published: (2024)
by: Beheshti, Amin
Published: (2024)
dafny-annotator: AI-Assisted Verification of Dafny Programs
by: Poesia, Gabriel, et al.
Published: (2024)
by: Poesia, Gabriel, et al.
Published: (2024)
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)
AbstractBeam: Enhancing Bottom-Up Program Synthesis using Library Learning
by: Zenkner, Janis, et al.
Published: (2024)
by: Zenkner, Janis, et al.
Published: (2024)
Can LLMs Enable Verification in Mainstream Programming?
by: Shefer, Aleksandr, et al.
Published: (2025)
by: Shefer, Aleksandr, et al.
Published: (2025)
Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation
by: Fang, Sen, et al.
Published: (2025)
by: Fang, Sen, et al.
Published: (2025)
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)
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)
Hydra: Efficient, Correct Code Generation via Checkpoint-and-Rollback Support
by: Du, Alexander, et al.
Published: (2026)
by: Du, Alexander, et al.
Published: (2026)
Toward an Agentic Infused Software Ecosystem
by: Marron, Mark
Published: (2026)
by: Marron, Mark
Published: (2026)
Agentic Code Reasoning
by: Ugare, Shubham, et al.
Published: (2026)
by: Ugare, Shubham, 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)
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)
ClassInvGen: Class Invariant Synthesis using Large Language Models
by: Sun, Chuyue, et al.
Published: (2025)
by: Sun, Chuyue, et al.
Published: (2025)
Generating Verifiable Chain of Thoughts from Exection-Traces
by: Thakur, Shailja, et al.
Published: (2025)
by: Thakur, Shailja, et al.
Published: (2025)
Similar Items
-
Comparing large language models and human programmers for generating programming code
by: Hou, Wenpin, et al.
Published: (2024) -
Self-Improving Code Generation via Semantic Entropy and Behavioral Consensus
by: Zhang, Huan, et al.
Published: (2026) -
Pretrained Embeddings as a Behavior Specification Mechanism
by: Kapoor, Parv, et al.
Published: (2025) -
Turn: A Language for Agentic Computation
by: Kizito, Muyukani
Published: (2026) -
Phyelds: A Pythonic Framework for Aggregate Computing
by: Aguzzi, Gianluca, et al.
Published: (2026)