Language models: benchmark gains and their limits
Four foundational papers, one question: how far can benchmark results take us when choosing a language model? A public evidence map with findings, boundaries and an evaluation plan.
Collections workspace
Save papers, organize evidence and share a reading list with your team.
Collection modes
Reading lists track what to open next. Evidence maps separate claims, support and contradictions. Shared collections give a team the same starting context.
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Public collections
Four foundational papers, one question: how far can benchmark results take us when choosing a language model? A public evidence map with findings, boundaries and an evaluation plan.
Canonical foundation set for entity resolution, graph-aware discovery and scientific interaction systems.
Reading path for trust signals, review quality, moderation and feed ranking in research products.
Personal curation
Public collections are browseable, but creating reading lists, evidence maps and saved graph views needs an account so every item stays attached to your research path.