Compile, Don't Memorize: A Context Compilation Architecture (CCA) for In-Context Learning

arXiv:2609.00759 · cs.CL · Submitted 2026-09-01 · Read on arXiv

cs.CL

Submitted: 2026-09-01

Updated: 2026-09-01

Code: https://github.com/TonyQJH/cca-emnlp2026

Terminology

• Verifier — 58× in this paper · explained in 2 episodes
• Ablation — 24× in this paper · explained in 1 episode
• Benchmark — 13× in this paper · explained in 2 episodes
• Analyzer — 11× in this paper · explained in 1 episode
• Context Compilation Architecture — 5× in this paper
• In-Context Learning — 5× in this paper · explained in 4 episodes
• Verification — 5× in this paper · explained in 2 episodes
• Abstraction — 4× in this paper · explained in 1 episode
• Core — 4× in this paper · explained in 2 episodes
• Fidelity — 4× in this paper · explained in 2 episodes
• Robustness — 3× in this paper · explained in 5 episodes
• Additive Decomposition — 2× in this paper · explained in 1 episode
• Chain-of-Thought Prompting — 2× in this paper · explained in 2 episodes
• Distillation — 2× in this paper · explained in 2 episodes
• Downstream Tasks — 2× in this paper · explained in 2 episodes
• RAG — 2× in this paper · explained in 3 episodes
• Trace — 2× in this paper · explained in 2 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Agent Harness — 1× in this paper · explained in 2 episodes
• Frozen model — 1× in this paper · explained in 3 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Hybrid Approach — 1× in this paper · explained in 4 episodes
• In-Context Learning (ICL) — 1× in this paper · explained in 5 episodes
• LLM-as-a-Judge — 1× in this paper · explained in 3 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Multi-Agent System — 1× in this paper · explained in 6 episodes
• Multi-agent Collaborative Framework — 1× in this paper · explained in 2 episodes
• Provenance — 1× in this paper · explained in 4 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Scaffolding — 1× in this paper · explained in 3 episodes

Sources

• DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
• CL-bench: A Benchmark for Context Learning
• AgentScope: A Flexible yet Robust Multi-Agent Platform
• GLM-5: from Vibe Coding to Agentic Engineering
• LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs
• DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines
• Kimi K2.5: Visual Agentic Intelligence
• AutoPyVerifier: Learning Compact Executable Verifiers for Large Language Model Outputs
• The Last Harness You'll Ever Build
• From Context to Skills: Can Language Models Learn from Context Skillfully?
• AutoSkill: Experience-Driven Lifelong Learning via Skill Self-Evolution
• In Defense of RAG in the Era of Long-Context Language Models

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