microsoft / microsoft/LLMLingua
[Question]: force_tokens for reproducing LLMLingua-2 on LongBench DataSet
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Description
Describe the issue
I would like to know whether all the results in the LLMLingua2 paper used force_tokens. I noticed that the repository has different force_tokens settings for different datasets, but not all datasets' force_tokens are displayed. If I want to reproduce the results from the LLMLingua2 paper, particularly for the LongBench dataset（21 subdatasets）, how should force_tokens be configured?
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Research direction
No file, test, or entry point is named in the issue. Start by reviewing the repository's existing dataset-specific force_tokens configuration and the LongBench reproduction flow; document the setting for each of its 21 subdatasets and explain how those settings reproduce the LLMLingua-2 paper results.
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Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100