amodaresi/NoLiMa
NoLiMa: Long-Context Evaluation Beyond Literal Matching This repository contains the data associated with our ICML 2025 paper, "NoLiMa: Long-Context Evaluation Beyond Literal Matching". Abstract Recent large language models (LLMs) support long contexts ranging from 128K to 1M tokens. A popular method for evaluating these capabilities is the needle-in-a-haystack (NIAH) test, which involves retrieving a "needle" (relevant information) from a "haystack" (long… See the full description on the dataset page: https://huggingface.co/datasets/amodaresi/NoLiMa.
| Author / organization | amodaresi |
|---|---|
| License (as declared) | other |
| Downloads | 982 (as reported by Hugging Face) |
| Likes | 14 |
| Created | 6 February 2025 |
| Last updated at source | 10 June 2025 |
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- 16 Oct 2026 Description: NoLiMa: Long-Context Evaluation Beyond Literal Matching This repository contains the data associated with our ICML 2025 paper, "NoLiMa: Long-Context Evaluation Beyond Literal Matching". Abstract Recent large language models (LLMs) support l → NoLiMa: Long-Context Evaluation Beyond Literal Matching This repository contains the data associated with our ICML 2025 paper, "NoLiMa: Long-Context Evaluation Beyond Literal Matching". Abstract Recent large language models (LLMs) support l
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