google-deepmind / google-deepmind/deepmind-research
Verify evals on Papers with Code
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Description
Hi,
Niels here from the open-source team at Hugging Face.
I've made the following papers and their evaluation results available on Papers with Code:
- [Perceiver: General Perception with Iterative Attention](https://paperswithcode.co/paper/2103.03206) — [2 paper-native evaluations](https://paperswithcode.co/paper/2103.03206#results).
- [Perceiver IO: A General Architecture for Structured Inputs & Outputs](https://paperswithcode.co/paper/2107.14795) — [4 paper-native evaluations](https://paperswithcode.co/paper/2107.14795#results).
Would it be possible to verify these results and let me know if any score, model name, benchmark protocol, or openness metadata should be corrected?
You can also edit the task, methods, project page, and GitHub URL directly from each paper page using your Hugging Face account.
Kind regards,
Niels
Contributor guide
Research direction
Open the linked Papers with Code pages for Perceiver and Perceiver IO and review their paper-native evaluations. Compare the score, model name, benchmark protocol, and openness metadata with the papers, then report any corrections needed; no repository file or test is identified.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- huggingface
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Active
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100