MozerWang / Loong
[EMNLP 2024 (Oral)] Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA
Why this job: topics: rag, retrieval-augmented-generation
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Inactive
- Last commit 10 months ago
- Stars
- 154
- On GitHub
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 88% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 100% closed
- 0 still open
- Pull requests
- 4 merged
- 0 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 88%
- Shell 12%
Topics
- large-language-models
- long-context
- long-context-modeling
- multi-document-rag
- question-answering
- rag
- retrieval-augmented-generation
Project record
- JobRAG and search
- StatusListed
- Commits34
- Forks12
- Watching1
- Stars in 28 days0
- CreatedJun 16, 2024
- First seen by usNov 7, 2026
- CheckedNov 8, 2026