Agentic Context Learning with Self-Discovered Specification

Jul 14, 2026

A new study finds that large language models (LLMs) struggle with context learning because they often fail to acquire local specifications—such as domain-specific formats and rules—that are distributed across the context. The researchers propose the PSCI (private specification-contract induction) method, which extracts and enforces these specifications, achieving state-of-the-art results on the CL-Bench benchmark, including a 24.8% relative improvement for GPT-5.1.

Why it matters: This research highlights specification acquisition as a key challenge in context learning and demonstrates a simple intervention that can significantly improve LLM performance on complex inference-time tasks.

Full story at: arXiv AI/ML ↗