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Comment by nielz_r

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Comment by nielz_r

Hi,

Niels here from the open-source team at Hugging Face. Like many others, I was a huge fan of paperswithcode, a website which allowed to easily find the state-of-the-art (SOTA) across any domain of AI, from computer vision to language models to time-series forecasting. Sadly, that website is no longer maintained after its acquisition by Meta.

Hence, I've been working on reviving it. I obviously use AI agents to parse papers at scale and automatically generate leaderboards (for now I'm the one verifying results). So far, I've only parsed high-impact papers for which I know they're SOTA, like Qwen 3.5 and 3.6, RF-DETR for object detection, DINOv3, SOTA embedding models from the MTEB leaderboard, the Open ASR Leaderboard for automatic speech recognition models, etc.

For now, it includes the following:

> trending papers by default based on Github star velocity

> categorization by domain, e.g., [OCR](https://paperswithcode.co/tasks/ocr)

> methods, popular techniques used across AI papers, which PwC used to have as well, like [RLVR](https://paperswithcode.co/methods/rlvr) and

> eval results for high-impact papers, see e.g., Qwen 3.5 at the bottom

> leaderboards for each domain, e.g., MMTEB or COCO val 2017

> conferences, like [CVPR 2026](https://paperswithcode.co/conferences/cvpr-2026)

> support for citation counts (you can also see the most cited papers by domain!)

> automated linked Github, project page URLs, and artifacts (+ multiple repos are supported on a paper page)

> support for external papers beyond Arxiv, see e.g., [DeepSeek v4](https://paperswithcode.co/paper/82956)

> Harness reports for coding agent benchmarks, e.g., Terminal Bench

> "Sign in with HF" and Storage Buckets are used to store humbnails, paper PDFs, and overall data backups.

I'm curious about your feedback + feature requests!

Try it at https://paperswithcode.co

Replies nielz_r · 2026-06-08
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