Fr0zenCrane / UniCoT
[ICLR 2026] Uni-CoT: Towards Unified Chain-of-Thought Reasoning Across Text and Vision
Why this job: works in the areas we cover, but does not say which job it does
What it does
While Chain-of-Thought (CoT) reasoning has been proven effective for complex text-based tasks, extending it to multimodal scenarios introduces new challenges. In visual contexts, human reasoning often relies on understanding how visual states evolve over time, such as tracking object movements and spatial interactions. This demands that Multimodal Large Language Models (MLLMs) reason not only at the textual level but also effectively incorporate and interpret visual cues.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 5 months ago
- Stars
- 238
- 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
- 99% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 70% closed
- 6 still open
- Pull requests
- 0 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 99%
- Shell 1%
Topics
- chain-of-thought-reasoning
- cot
- multimodal
- unified-model
- any-to-any
- llm
- artificial-intelligence
- deep-learning
- vision-language-pretraining
- chain-of-thought
- computer-vision
- uni-cot
Project record
- JobOther AI tools
- StatusListed
- Commits168
- Forks7
- Watching4
- Stars in 28 days+1
- CreatedJul 25, 2025
- First seen by usNov 7, 2026
- CheckedNov 8, 2026