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

Open the contributing 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

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