Zining Zhu
@zhuzining
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Assistant Professor @FollowStevens (2024-) PhD @UofT, @VectorInst Areas: #NLProc #Explainable #AI
Hoboken, New Jersey
Joined January 2014
RT @chrmanning: Re: “Every major breakthrough in AI has been American”: America does itself no favors when it overestimates its specialnes…
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RT @junxian_he: We replicated the DeepSeek-R1-Zero and DeepSeek-R1 training on 7B model with only 8K examples, the results are surprisingly…
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RT @ysu_nlp: My 2024 predictions (agents, multimodality, synthetic data, sparsity) all came true, but those were generic and somewhat obvio…
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A uniquely interesting book with a lot of new information, and I feel the urge to take notes (either to echo or to debate) while reading. Highly recommend.
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Glad to see this paper appearing in Stevens News. Nowadays the improved LLMs know to reject many very wrong problems, but still, it's quite easy to find adversarially helpful examples. We recommend LLM users (especially when using LLMs to explain unknown problems) fact-check the explanations.
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Everybody at school taught us morals and values. Most people in academia who I know e.g., at #NeurIPS are honest, morally upright, and are against racism.
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RT @amuuueller: ACL 2025 is looking for reviewers and ACs in Interpretability and Analysis of NLP Models! - DM if interested in emergency…
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RT @brandon_jaip: Work led by myself with @elliot_creager, @zhuzining, and @SPOClab. arXiv: If you happen to be in…
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RT @NatureBiotech: Survey results identify how scientific research and teaching contribute to the graduate student mental health crisis htt…
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@_jasonwei AI for science/engineering/XYZ has already made significant progress (e.g., drug discovery, autonomous driving, engineering design, etc.) and there will be more, with or without LLMs. LLMs learn the language-related knowledge which perhaps don't always transfer efficiently.
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RT @dr_jinahuhyoo: @FollowStevens CS is hiring two tenure-track faculty positions in cybersecurity/privacy, human-centered AI/ML/AI. Please…
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Some inspirations for course formats and contents come from: - @hanjie_chen 's Explainable NLP: - Wendy Wang 's Trustworthy ML reading group at Stevens: - Our NAACL 2024 Explanation tutorial: - @nsaphra and @sarahwiegreffe 's opinion paper
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