Zeming Wei @weizeming25
First-year Ph.D. student @PKU1898, ex-visiting student @UCBerkeley, research intern @BytedanceTalk. I focus on developing Trustworthy AI/ML. weizeming.github.io Beijing Joined August 2017-
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Zeming Wei retweeted
Mitigating racial bias from LLMs is a lot easier than removing it from humans! Can’t believe this happened at the best AI conference @NeurIPSConf We have ethical reviews for authors, but missed it for invited speakers? 😡
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Zeming Wei retweeted
Yes. AI could even lead to a decline of science since we may stop to ask why and how. We need to make AI more interpretable — not only for AI but also for humanity.
Yes. AI could even lead to a decline of science since we may stop to ask why and how. We need to make AI more interpretable — not only for AI but also for humanity.
Zeming Wei retweeted
Our theory on LLM self-correction has been accepted to #NeurIPS2024 ! A good time to revisit it after the GPT-o1 release:)
Our theory on LLM self-correction has been accepted to #NeurIPS2024 ! A good time to revisit it after the GPT-o1 release:)
Zeming Wei retweeted
Excited to share that our LLM self-correction paper received the Spotlight Award (top 3) at ICML’24 ICL workshop! iclworkshop.github.io
Excited to share that our LLM self-correction paper received the Spotlight Award (top 3) at ICML’24 ICL workshop! iclworkshop.github.io https://t.co/czLajJiX1c
Zeming Wei retweeted
😎So excited to see that our In-context Attack (ICA) method has been leveraged by Anthrophic to break down the most prominent LLMs -- simply by extending # in-context examples! What a lesson of scaling!😆 See how this idea originates w/ @weizeming25 arxiv.org/abs/2310.06387
😎So excited to see that our In-context Attack (ICA) method has been leveraged by Anthrophic to break down the most prominent LLMs -- simply by extending # in-context examples! What a lesson of scaling!😆 See how this idea originates w/ @weizeming25 arxiv.org/abs/2310.06387
Glad to share that I just reached 100 citations according to Google Scholar. Thanks all coauthors! scholar.google.com/citations?user…
Zeming Wei retweeted
Jatmo: Prompt Injection Defense by Task-Specific Finetuning "It harnesses a teacher instruction-tuned model to generate a task-specific dataset, which is then used to fine-tune a base model (i.e., a non-instruction-tuned model). Jatmo only needs a task prompt and a dataset of…
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