overthelex/attention-analysis-fewshot
Attention Analysis of Few-Shot Effects in Language Models Experimental data and code from "Representation Shift Predicts Few-Shot Benefit: Attention Analysis Across 12 Language Models and Two Architectures" (Ovcharov, 2026). Dataset Description Per-example attention patterns, hidden states, and representation shift measurements from 12 open-weight language models evaluated on Ukrainian text classification. Tasks Task Dataset Classes Test size… See the full description on the dataset page: https://huggingface.co/datasets/overthelex/attention-analysis-fewshot.
| Author / organization | overthelex |
|---|---|
| License (as declared) | mit |
| Downloads | 186 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 16 May 2026 |
| Last updated at source | 30 May 2026 |
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Connected in the knowledge graph
- Automatic Construction of a Legal Citation Graph from 100 Million Ukrainian Court Decisions: Large-Scale Extraction, Topological Analysis, and Ontology-Driven ClusteringPaper · cites
- Temporal Decay of Co-Citation Predictability: A 20-Year Statute Retrieval Benchmark from 396M Ukrainian Court CitationsPaper · cites
- Tokenizer Fertility and Zero-Shot Performance of Foundation Models on Ukrainian Legal Text: A Comparative StudyPaper · cites
Related papers
- Tokenizer Fertility and Zero-Shot Performance of Foundation Models on Ukrainian Legal Text: A Comparative StudyPaper
- Automatic Construction of a Legal Citation Graph from 100 Million Ukrainian Court Decisions: Large-Scale Extraction, Topological Analysis, and Ontology-Driven ClusteringPaper
- Temporal Decay of Co-Citation Predictability: A 20-Year Statute Retrieval Benchmark from 396M Ukrainian Court CitationsPaper
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