LexNeo-Bench (KG-Graph Context): leaderboard
Luxembourgish borrowing classification from LexNeo-Bench (Hosseini-Kivanani, 2026) with an instance-specific subgraph of the linguistic knowledge graph built by the authors in the prompt: donor chains from the Luxembourgish Online Dictionary, matching adaptation patterns and analogues. It measures how well a model uses retrieved lexicon context. Accuracy in percent at temperature 0, with unparseable outputs dropped; higher is better.
Metric: Accuracy (%; borrowing-type classification of a highlighted token in a Luxembourgish RTL news sentence among native, French loan and German loan (English loan offered as a distractor label); 1,000 items per class; outputs that cannot be mapped to a label are dropped; temperature 0; an instance-specific subgraph of the authors' linguistic knowledge graph (donor chains from the Luxembourgish Online Dictionary, analogues, contrastive patterns) prepended to the prompt). Source: arxiv.org. Saturation forecast: Estimated already saturated. 3 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Gemma 3 12B (IT) | 81 | #1849 |
| 2 | Gemma 3 27B (IT) | 71.4 | #1306 |
| 3 | Llama 3.3 70B Instruct | 71.3 | #1353 |
No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.
Interactive version: theaggregate.ai/benchmark?slug=lexneo-bench-kg-graph-context · How It Works · Data refreshed daily, snapshot 2026-11-12.