
John Wieting
@johnwieting2
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Senior Research Scientist @GoogleDeepMind 🧠. PhD @LTIatCMU.
Joined December 2015
Work led by @YapeiChang with @kalpeshk2011, @houmansadr, myself, and @MohitIyyer. Work done at @manningcics, @UMassNLP with collaboraters from @GoogleAI, @GoogleDeepMind. #NLProc.
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Interested in robust watermarks for detecting LLM-generated text that do not require logit access to the underlying models? Check out our new paper to be presented at @emnlpmeeting! We propose PostMark, a black-box watermarking scheme that is more robust to paraphrasing attacks.
Is it possible to have a watermark that reliably detects LLM-generated text, is robust to paraphrasing attacks, preserves quality, and can be applied to any LLM without access to logits? Check out PostMark, a method with all these properties!. . 🧵below:
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Congratulations to UMD!.
.@UofMaryland's CS dept is welcoming eight new tenure-track faculty members! With expertise in cutting-edge areas, they'll boost our academic & research capabilities. Welcome aboard! 🐢📚. Read more:.
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RT @YapeiChang: Is it possible to have a watermark that reliably detects LLM-generated text, is robust to paraphrasing attacks, preserves q….
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RT @nandan__thakur: Excited to share that SWIM-IR has been accepted at #NAACL2024! 🍻. I'm quite delighted with this work as it was complete….
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RT @aclmeeting: ACL announcement: ."The ACL Executive Committee has voted to significantly change ACL's approach to protecting anonymous pe….
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This was work done both at @GoogleAI and @UMassAmherst with @kalpeshk2011, @yixiao_song, @mar_kar_, @MohitIyyer, and myself. #NLProc.
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Come by our poster this evening! @kalpeshk2011, @yixiao_song, and I will be presenting. Links to paper and models below 👇.
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Today at #NeurIPS2023, If you want to lean more about:. 1. Robustness of detectors and watermarks to paraphrase attacks (spoiler alert: needs improvement). 2. An alternative detection approach using simple retrieval methods. and . .
To detect text written by LMs like #ChatGPT, many methods have recently emerged: DetectGPT, watermarks, GPTZero. We present a paraphrasing attack that can drop their detection rates to <10%. To defend against it, we propose detection with retrieval. 🧵👇
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Our work on cross-lingual and multilingual attribution will be presented at #EMNLP2023 in Singapore!. We have also released our dataset of ~10k 3-way annotations over 5 typologically diverse languages. Arxiv: Dataset:
We all want accurate responses from our QA systems, and this need becomes especially vital when interacting with text in languages unfamiliar to us, rendering answer verification reliant on translation. This challenge is particularly felt by speakers of low-resource languages.
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RT @sunjiao123sun_: Can LLMs generate exact 5 words? No.How about 5 sentences? No.How about 5 paragraphs? No.🤷🏻♀️.In .
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