LLMQuant / LLMQuant/quant-mind
feat: Where is adaptive summarization part?
Open
Nobody has claimed this yet.
area: flows
stale
type: feature
- Dominant language
- Python
- Stars
- 3k
- Forks
- 484
- PR merge metrics
- No merged PRs in 30d
Description
Hi there,
I'm exploring the codebase referenced in the paper, but I can't seem to find the logic for the Adaptive Summarization step mentioned in the text.
Is this implemented in a submodule I might have missed, or is this feature intended to be released in a future update?
Thanks!
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by searching the repository for “Adaptive Summarization” and related references in the paper. Check whether the step exists in the codebase or a submodule; done means confirming its implementation location or documenting that it is not yet implemented.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- ai
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100