Reference library
RULER: What's the Real Context Size of Your Long-Context Language Models?
Paper summary
RULER extends simple long-context retrieval tests with multiple targets, tracing, aggregation, and varied difficulty. Evaluated models often fall short of effective use across their advertised context windows.
Relevance to the project
Supports a functional history-access test suite with multiple interacting past signals. Capacity should be demonstrated through tasks or interventions rather than inferred from buffer size.
Synthetic benchmark success still does not establish general memory competence.
Source record
- Reference ID
- ruler
- Archived version
- 2404.06654v3
- Summary provenance
- reference-library/papers/ruler/metadata.json · summary
- Review status
- initial orientation summary; not a critical full-paper review
- Reading scope
- Selected abstract/opening and available closing discussion/conclusion passages in the preserved text extract; broader project notes provide context. No reproduction of experiments, exhaustive methods review, or equation/figure audit.