Agentic Context Learning with Self-Discovered Specification
4.20T1 sourcearXiv cs.MA
Source record
Published by arXiv cs.MA (T1 source). The original is at https://arxiv.org/abs/2607.09794.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryThe paper empirically studies why context learning remains difficult for LLMs, finding that failures stem from missing local specifications (formats, rules, completeness conditions) rather than just content access. The authors propose PSCI, which extracts and enforces these specifications, achieving 28.14% on CL-Bench with GPT-5.1.
Why it mattersIdentifies a specific failure mode—unspecified local specifications—and offers a concrete intervention with measurable gains replicated across three frontier models. Useful diagnostic for context-heavy LLM pipelines.
Cited by
No citations on record.