yzhuang/Agentic-Long-Context-Understanding-QA
๐ Agentic Long Context Understanding ๐ Self-Taught Agentic Long Context Understanding (Arxiv). AgenticLU refines complex, long-context queries through self-clarifications and contextual grounding, enabling robust long-document understanding in a single pass. Installation Requirements This codebase is largely based on OpenRLHF and Helmet, kudos to them. The requirements are the same pip install openrlhf pip install -r ./HELMET/requirements.txtโฆ See the full description on the dataset page: https://huggingface.co/datasets/yzhuang/Agentic-Long-Context-Understanding-QA.
| Author / organization | yzhuang |
|---|---|
| License (as declared) | mit |
| Downloads | 367 (as reported by Hugging Face) |
| Likes | 24 |
| Created | 23 January 2025 |
| Last updated at source | 22 September 2025 |
Popularity, last 2 days
367 now (-6 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- mradermacher/Llama-3.1-8B-Instruct-AgenticLU-GGUFModel ยท used to train
- mradermacher/Llama-3.1-8B-Instruct-AgenticLU-i1-GGUFModel ยท used to train
More from yzhuang
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.