InternLM / SIM-CoT
[ICLR 2026] An official implementation of "SIM-CoT: Supervised Implicit Chain-of-Thought"
Why this job: works in the areas we cover, but does not say which job it does
What it does
SIM-CoT adds step-level supervision to implicit reasoning methods such as Coconut and CODI. An auxiliary decoder learns to recover each reasoning step from its corresponding latent during training. Remove the decoder at inference to keep reasoning compact; reuse it when inspecting the learned latents.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 15 days ago
- Stars
- 219
- 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
- 92% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 60% closed
- 6 still open
- Pull requests
- 0 merged
- 1 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
Similar repos
| Repo | Stars | Last commit | Licence | Downloads for |
|---|---|---|---|---|
| Fr0zenCrane / UniCoT | 238 | 5 months ago | Apache-2.0 | No downloads |
More: languages, topics and project record
Languages
- Python 92%
- Shell 8%
Topics
- chain-of-thought
- continuous-thought
- implicit-chain-of-thought
- large-language-models
- llm
Project record
- JobOther AI tools
- StatusListed
- Commits18
- Forks17
- Watching3
- Stars in 28 days+1
- CreatedSep 23, 2025
- First seen by usNov 7, 2026
- CheckedNov 8, 2026