@legally_tin Profile picture

Tin Trung Nguyen

@legally_tin

NIJ Fellow | CS PhD student @ClipUmd @umdcs @trails_ai in AI x Law | he/him 🏳️‍🌈

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Tin Trung Nguyen Reposted

I will be at Miami to present 2 papers at @emnlpmeeting: 🕛Nov 12 (Tue) 16:00-17:30 - Jasmine 🗯️HateCOT 🕛Nov 14 (Thu) 10:30-12:00 - Jasmine 👩‍🎓#llm Name-based bias Also ⌛️Nov 14 (Thu) 10:30-12:00 - Riverfront ❓PEDANTS Looking forward to connect ☕️ and 🔊 to researchers ❤️🤟


Tin Trung Nguyen Reposted

So happy and excited to announce that we have 3 papers accepted to #EMNLP2024. Special acknowledgement to my amazing advisor and collaborators @haldaume3 @jieyuzhao11 @tweepy_ishani @zli12321 Looking forward to presenting our works at Miami #nlp #fairness #ethicsinAI #LLMs #AI

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Tin Trung Nguyen Reposted

🚨I am looking for strong folks to hire in three areas of need: AI for Public Good (driving real-world partnership projects), AI+Law, & AI Safety.🚨 Postdoctoral candidates preferred, but flexible for predoc/visiting students too! Express interest here: forms.gle/6FfD4ms2BQW7BD…


Tin Trung Nguyen Reposted

Hearty congratulations to @Triiiiiista who graduated yesterday after defending her dissertation "Towards Effective and Inclusive AI: Aligning AI Systems with User Needs and Stakeholder Values Across Diverse Contexts" back in March. She starts a postdoc at UT Austin in the Fall!

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Tin Trung Nguyen Reposted

Thank @_akhaliq for sharing our work. This is the CVPR'24 work from my Adobe internship with Joon-Young Lee, Seoung Wug Oh and my advisor @abhi2610 Website: maggie-matt.github.io Arxiv: arxiv.org/pdf/2404.16035 Stay tuned for the code and datasets released!

MaGGIe Masked Guided Gradual Human Instance Matting Human matting is a foundation task in image and video processing, where human foreground pixels are extracted from the input. Prior works either improve the accuracy by additional guidance or improve the temporal



Tin Trung Nguyen Reposted

“What would an AI research & education mission that crossed the whole campus look like?” This is the question posed to me & a working group by @UofMaryland's Provost Rice summer'23. Now we’re announcing the answer: #AIMaryland, the AI Interdisciplinary Institute at Maryland. >

#UMD is proud to announce the launch of the AI Interdisciplinary Institute at Maryland (AIM)! This new institute will be dedicated to developing the next generation of artificial intelligence education, technology and leaders: go.umd.edu/4cMk5DB #AIMaryland



Tin Trung Nguyen Reposted

📢 I'm recruiting a postdoc at UMD 🗓️ Starting in 2024 🖥️🙋 Topics related to human-AI interaction 🔜 Apply by May 31, but earlier if possible! 🤑 $75-$80k+benefits, unencumbered (ie not "big project") funding Link to full post and form for applications in thread. >


Tin Trung Nguyen Reposted

Explanations are sought to highlight model biases. But what if these biases are indirect? Our #IUI2024 paper studies how people make decisions with models exhibiting direct or indirect bias. Can explanations and disclosures about biases/correlations help mitigate these biases 🧵

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Tin Trung Nguyen Reposted

Don't miss an engaging interview with Hal Daumé III (@haldaume3)—Director of the Institute for Trustworthy AI in Law & Society (@trails_ai)—on the trajectory of AI and how it can be used to help people. Read the @roadmapbyallma article by @mollitudo here: buff.ly/4bNZTAA

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Tin Trung Nguyen Reposted

TRAILS is looking for talented undergrads interested in shaping the future of trustworthy AI to participate in its Summer Undergraduate Research Fellowships (SURF) @UofMaryland Applications are due March 1. Learn more: go.umd.edu/3HYdckA.

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Tin Trung Nguyen Reposted

So exited to announced that our paper with @fredmorstatter @is_umang “Define Your Terms” : Enhancing Efficient Offensive Speech Classification with Definition has been accepted to EACL 2024 conference. Stay tuned for preprint 👌🫰 #EACL2024 #NLP #fairness


Tin Trung Nguyen Reposted

I'm not at #EMNLP2023 but students are! @navitagoyal_: Effect of Background on Reliance Sandra Sandoval: Social Bias in Name Mistranslations Tin Nguyen: Impacts of Explanations on Moderators Lingjun Zhao: Hallucination Detection for Instruction Generation (remote ∵ visa) >

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