Codebook Agent: Amortized Topology Design for LLM Multi-Agent Systems
cs.AI, cs.LG, cs.MA
Submitted: 2026-09-02
Updated: 2026-09-02
Code: https://github.com/jinxiy1104/CodebookAgent
Terminology
Sources
- Program Synthesis with Large Language Models
- Evaluating Large Language Models Trained on Code
- Training Verifiers to Solve Math Word Problems
- Distilling the Knowledge in a Neural Network
Related papers
- MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
- Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
- The Clinician's Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribing
- MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
- Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems
- VSAL: A Vision Solver with Adaptive Layouts for Graph Property Detection