Cover Image

CortexCompile: Harnessing Cortical-Inspired Architectures for Enhanced Multi-Agent NLP Code Synthesis

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ramachandran, Gautham, Yang, Rick
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence I.2.2; I.2.7
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Active Context Compression: Autonomous Memory Management in LLM Agents
by: Verma, Nikhil
Published: (2026)

A DbC Inspired Neurosymbolic Layer for Trustworthy Agent Design
by: Leoveanu-Condrei, Claudiu
Published: (2025)

Solve it with EASE
by: Viktorin, Adam, et al.
Published: (2025)

Compiled AI: Deterministic Code Generation for LLM-Based Workflow Automation
by: Trooskens, Geert, et al.
Published: (2026)

Random Heterogeneous Neurochaos Learning Architecture for Data Classification
by: S, Remya Ajai A, et al.
Published: (2024)

Evaluating the efficacy of LLM Safety Solutions : The Palit Benchmark Dataset
by: Palit, Sayon, et al.
Published: (2025)

Toward Architecture-Aware Evaluation Metrics for LLM Agents
by: Souza, Débora, et al.
Published: (2026)

Train to Defend: First Defense Against Cryptanalytic Neural Network Parameter Extraction Attacks
by: Kurian, Ashley, et al.
Published: (2025)

CodeEvolve: an open source evolutionary coding agent for algorithmic discovery and optimization
by: Assumpção, Henrique, et al.
Published: (2025)

Continual Learning, Not Training: Online Adaptation For Agents
by: Jaglan, Aman, et al.
Published: (2025)

The Hidden Attention of Mamba Models
by: Ali, Ameen, et al.
Published: (2024)

EnergyMamba: An Uncertainty-Aware Graph-Enhanced Selective State Space Model for Energy Consumption Prediction
by: Yu, Dahai, et al.
Published: (2026)

ContextBench: A Benchmark for Context Retrieval in Coding Agents
by: Li, Han, et al.
Published: (2026)

Time-to-Injury Forecasting in Elite Female Football: A DeepHit Survival Approach
by: Catterall, Victoria, et al.
Published: (2026)

The Architecture of Errors: From Universal Impossibility to Patch-Local LLM Reliability
by: Arbuzov, Mikhail L., et al.
Published: (2026)

SiliconMind-V1: Multi-Agent Distillation and Debug-Reasoning Workflows for Verilog Code Generation
by: Chen, Mu-Chi, et al.
Published: (2026)

Plan with Code: Comparing approaches for robust NL to DSL generation
by: Bassamzadeh, Nastaran, et al.
Published: (2024)

Inside the Scaffold: A Source-Code Taxonomy of Coding Agent Architectures
by: Rombaut, Benjamin
Published: (2026)

Extreme AutoML: Analysis of Classification, Regression, and NLP Performance
by: Ratner, Edward, et al.
Published: (2024)

RepoAgent: An LLM-Powered Open-Source Framework for Repository-level Code Documentation Generation
by: Luo, Qinyu, et al.
Published: (2024)

Interactive LLM-assisted Curriculum Learning for Multi-Task Evolutionary Policy Search
by: Sakallioglu, Berfin, et al.
Published: (2026)

A Comparative Study of DSL Code Generation: Fine-Tuning vs. Optimized Retrieval Augmentation
by: Bassamzadeh, Nastaran, et al.
Published: (2024)

Evaluating Model Robustness Using Adaptive Sparse L0 Regularization
by: Liu, Weiyou, et al.
Published: (2024)

Predictable Scale: Part I, Step Law -- Optimal Hyperparameter Scaling Law in Large Language Model Pretraining
by: Li, Houyi, et al.
Published: (2025)

Uncovering Bias Paths with LLM-guided Causal Discovery: An Active Learning and Dynamic Scoring Approach
by: Zanna, Khadija, et al.
Published: (2025)

Distribution Consistency based Self-Training for Graph Neural Networks with Sparse Labels
by: Wang, Fali, et al.
Published: (2024)

Towards Platonic Representation for Table Reasoning: A Foundation for Permutation-Invariant Retrieval
by: Tchuitcheu, Willy Carlos, et al.
Published: (2026)

Large Language Model Interface for Home Energy Management Systems
by: Michelon, François, et al.
Published: (2025)

Policy-Grounded Safety Evaluation of 20 Large Language Models
by: Contreras, Juan Manuel
Published: (2025)

Exploring LLM-based Verilog Code Generation with Data-Efficient Fine-Tuning and Testbench Automation
by: Chen, Mu-Chi, et al.
Published: (2026)

Circularity and Symmetries of $p$ and $p^{2}$-polygons
by: Haag, Rolf
Published: (2025)

Evaluating the Limitations of Local LLMs in Solving Complex Programming Challenges
by: Matotek, Kadin, et al.
Published: (2025)

MEMTIER: Tiered Memory Architecture and Retrieval Bottleneck Analysis for Long-Running Autonomous AI Agents
by: Sidik, Bronislav, et al.
Published: (2026)

SemanticAgent: A Semantics-Aware Framework for Text-to-SQL Data Synthesis
by: Gao, Qiang, et al.
Published: (2026)

CoTran: An LLM-based Code Translator using Reinforcement Learning with Feedback from Compiler and Symbolic Execution
by: Jana, Prithwish, et al.
Published: (2023)

Chain of Unit-Physics: A Primitive-Centric Approach to Scientific Code Synthesis
by: Sharma, Vansh, et al.
Published: (2025)

AdaDec: A Uncertainty-Guided Lookahead Decoding Framework for LLM-Based Code Generation
by: He, Kaifeng, et al.
Published: (2025)

Mobile Phone Sensor-based Nigerian Driving Dataset to Detect Alcohol-influenced Behaviours
by: Thompson, Iniakpokeikiye Peter, et al.
Published: (2025)

PromptSAM+: Malware Detection based on Prompt Segment Anything Model
by: Wei, Xingyuan, et al.
Published: (2024)

TRIM: Achieving Extreme Sparsity with Targeted Row-wise Iterative Metric-driven Pruning
by: Beck, Florentin, et al.
Published: (2025)