Decoding ML Decision: An Agentic Reasoning Framework for Large-Scale Ranking System

arXiv:2602.18640 · cs.AI · Submitted 2026-02-20 · Read on arXiv

cs.AI

Submitted: 2026-02-20

Updated: 2026-09-25

Terminology

• Benchmark — 9× in this paper · explained in 2 episodes
• Personalization — 9× in this paper · explained in 2 episodes
• Agent Skills — 6× in this paper · explained in 1 episode
• Heterogeneous Treatment Effect — 6× in this paper
• Ablation — 4× in this paper · explained in 1 episode
• Consistency — 4× in this paper · explained in 3 episodes
• Self-consistency — 4× in this paper · explained in 2 episodes
• Accuracy — 3× in this paper · explained in 1 episode
• Adaptive Experimentation — 3× in this paper
• Core — 3× in this paper · explained in 2 episodes
• Interpretability — 3× in this paper · explained in 15 episodes
• Prompt Engineering — 3× in this paper · explained in 4 episodes
• Agentic Reasoning — 2× in this paper · explained in 1 episode
• Average Treatment Effect — 2× in this paper
• Benchmarking — 2× in this paper · explained in 3 episodes
• Reinforcement Learning — 2× in this paper · explained in 4 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Trace — 2× in this paper · explained in 2 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Ablation study — 1× in this paper · explained in 1 episode
• Active Exploration — 1× in this paper · explained in 2 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Alignment — 1× in this paper · explained in 1 episode
• Chain-of-Thought (CoT) — 1× in this paper · explained in 4 episodes
• Chain-of-Thought Prompting — 1× in this paper · explained in 2 episodes
• Distribution Shift — 1× in this paper · explained in 5 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Generalized Automatic Segmentation — 1× in this paper
• Generative Engine for Agentic Ranking Systems — 1× in this paper
• Generative Recommendation — 1× in this paper · explained in 2 episodes
• Hallucination — 1× in this paper · explained in 3 episodes
• Iterative Refinement — 1× in this paper · explained in 3 episodes
• Multi-Agent System — 1× in this paper · explained in 6 episodes
• Multi-objective Optimization — 1× in this paper · explained in 4 episodes

Sources

• Prompt Design and Engineering: Introduction and Advanced Methods
• A Survey of Context Engineering for Large Language Models
• MemGPT: Towards LLMs as Operating Systems
• Combining observational and experimental data to find heterogeneous treatment effects
• ToolRL: Reward is All Tool Learning Needs
• Self-Consistency Improves Chain of Thought Reasoning in Language Models
• Multi-Treatment Multi-Task Uplift Modeling for Enhancing User Growth

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