/AI1d ago

Developer Uses GPT-5.5 to Translate 23,000 ChinaRxiv Papers into English

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Original postFlorian Brand#1117

23,000+ ChinaRxiv papers are now freely available with more complete English translations after one developer replaced a complex OCR pipeline with GPT‑5.5.

http://x.com/i/article/2059815427484655622

7:00 AM · Jun 9, 2026 · 154K Views
Sentiment

Many users praise the GPT-5.5 translation of 23,000 ChinaRxiv papers as a breakthrough for unlocking knowledge by replacing complex OCR with one model call, while some instead demand the return of GPT-4o.

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15 comments with sentiment.
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Eclipse 🌖@ECLresearch

@OpenAIDevs 23k papers unlocked with one model swap — the OCR-to-GPT shift slashed translation friction to near zero. Curious how the pipeline overhead compares on a per-paper basis.

1dViews 297
BOOKMARKS1RETWEETS1
Watchtower@Watchtower247HQ

This is one of the best uses of AI: turning locked or hard-to-access knowledge into something more searchable, readable, and useful.

Translation is not just language work — it is infrastructure for discovery, research, and global collaboration.

Quality and trust still matter, but the impact is huge. 🤝

1dViews 189Likes 1Bookmarks 1
LIKES3
_its_not_real_@_its_not_real_

@OpenAIDevs That's my moot!

1dViews 108Likes 3
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NebulaFroggy42@NebulaFroggy

@seconds_0 @OpenAIDevs High reasoning?

1dViews 5Likes 1
Gregor@bygregorr

@OpenAIDevs not sure 'more complete' means more accurate here. an llm confidently filling gaps it can't read is harder to catch than a blank ocr field. did anyone actually validate the output against the originals?

1dViews 222
Aditya Mehrotra@AdityaKMehrotra

@OpenAIDevs How much did it cost?

1dViews 62Likes 2

@NebulaFroggy @OpenAIDevs no it did not work as well. I tried a lot of different frontier models and sub frontier models on this exact usecase

1dViews 5
David Stark@stark4833

@OpenAIDevs Maybe try listening to your customers and give us back 4o, it helped a lot of people with daily struggles. I’m talking about real people. #LetUsChoose4o #keep4o

1dViews 58Likes 2
AndresDev@AndresDevvv

@OpenAIDevs How expensive was it?

1dViews 126Likes 1
智享@CycleDecoded

@OpenAIDevs Incredible! Leveraging GPT's powerful comprehension to directly replace complex OCR workflows not only drastically improves efficiency but also completely dismantles language barriers for academic resources. This is an absolute goldmine for researchers worldwide!

1dViews 229
Alex YGift@Radipdegen

@OpenAIDevs one pipeline rewrite and suddenly 23k papers are readable

kind of makes you wonder what else is stuck behind bad OCR

1dViews 208
Ferbin@Ferbin08

@OpenAIDevs OCR is an entire category that should not exist anymore.

a team probably spent months tuning a pipeline, now it's one API call.

this is happening across all the narrow specialist stuff.

1dViews 206
Vickee@Vickee2025

@OpenAIDevs @sama @gdb Give us back the Gpt-4o! Release its weights and make it open-source! 🕊 #keep4o #OpenSource4o #OpenAI #ChatGPT

1dViews 56Likes 1

@OpenAIDevs @OpenAIDevs wild how GPT‑5.5 can handle that complexity. makes you wonder what else we could simplify with it.

1dViews 37Likes 1
Strata@ChainZenit

@OpenAIDevs that is actually a massive scale upgrade for research.

1dViews 88

@OpenAIDevs replacing complexity with one model call

that is the scaling move

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Steel Penn@steelpenn64

@OpenAIDevs This is a propaganda site.

1dViews 54
Rugbist@rugbist_

@OpenAIDevs good move honestly, gpt translation pipelines for academic non-English content are still massively underrated

1dViews 47
蓝(AI版)@lanyi1992

@OpenAIDevs 复杂 OCR pipeline:我还没优化完呢,模型已经把桌子掀了。

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