Katelyn Mei

133 posts

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Katelyn Mei

Katelyn Mei

@MeiKatelyn

PhDing in Information Science @UW| Human-AI interaction |psychology & mathematics @Middlebury’22

Seattle, USA เข้าร่วม Ağustos 2017
1.1K กำลังติดตาม197 ผู้ติดตาม
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Katelyn Mei
Katelyn Mei@MeiKatelyn·
🚨🎉Excited to announce that our paper “Grok in the Wild: Characterizing the Roles and Uses of Large Language Models on Social Media” is accepted at @icwsm 2026! In this paper, we investigate how, when, and to what effect Grok is used on X. 🧵1/n thread
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Deb Raji
Deb Raji@rajiinio·
Appreciate this work - one of my favourite things to think about lately has been how LLMs are kind-of-but-not-the-same as parallel online platforms. We like to think of them as search engines, e-commerce platforms, etc but the human interaction patterns are completely different
Manoel@manoelribeiro

LLMs will transform e-commerce in ways that consumer protection is unprepared for! Our new preprint finds that conversational AI can strongly steer consumer choices: sponsored product selection nearly tripled relative to traditional placement (N=2012). (link below)

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Katelyn Mei
Katelyn Mei@MeiKatelyn·
If you are interested in more details, please read our paper! We also include findings on engagement with Grok reply, main clusters of Grok users, and topics that Grok users @grok for. Paper link: arxiv.org/pdf/2602.11286
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Katelyn Mei
Katelyn Mei@MeiKatelyn·
🚨🎉Excited to announce that our paper “Grok in the Wild: Characterizing the Roles and Uses of Large Language Models on Social Media” is accepted at @icwsm 2026! In this paper, we investigate how, when, and to what effect Grok is used on X. 🧵1/n thread
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Tim Dettmers
Tim Dettmers@Tim_Dettmers·
We release SERA, the first model part of Ai2’s Open Coding Agent series. SERA is a SoTA agent for its size, super simple, and 26x more efficient than RL. In my blog post, I write about my personal journey of building this coding agent: timdettmers.com/2026/01/27/bui… Details: 👇
Ai2@allen_ai

Introducing Ai2 Open Coding Agents—starting with SERA, our first-ever coding models. Fast, accessible agents (8B–32B) that adapt to any repo, including private codebases. Train a powerful specialized agent for as little as ~$400, & it works with Claude Code out of the box. 🧵

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Katelyn Mei
Katelyn Mei@MeiKatelyn·
Super excited about this podcast! Looking forward to it! @shannonzshen
Shannon Shen@shannonzshen

Since I started working on AI research, I've deeply cared about how AI can augment and empower people. It was often the case that final, real-world model usage was an afterthought after development, rather than something deeply integrated in the model training and evaluation. But as models have grown increasingly powerful, we're seeing lots of technical advances and fascinating research throughout the model dev stack--they are easier to use, and start to become collaborative. It’s an extraordinary time to work on human AI collaboration: it’s never been simpler to build practically useful AI applications and deliver to a large pool of users; but it’s also a time of doubt and questions: what is the role of research/academia in this direction, and what to work on next? It turned out these thoughts are shared among us – when I started to talk to @EchoShao8899 last year, we immediately connected. We wanted to reflect this field holistically to understand what are the critical challenges and how to advance in this direction. Together with @michaelryan207 , we decided to start this journey and try out something that we'd never done before — starting a podcast — which, retrospectively, was such a cool decision that we made that afternoon walking on the Stanford campus. We’ve had a lot of interesting discussions and thoughts in the past few months, and I am genuinely impressed by how much our three-person crew can put together in such a short time. We can’t wait to share what we have with y’all! As we wrote in the opening script, this is a journey to find the answers. The destination matters, but so does the journey. Please join us and let's explore together :)

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Kaitlyn Zhou
Kaitlyn Zhou@KaitlynZhou·
As of June 2025, 66% of Americans have never used ChatGPT. Our new position paper, Attention to Non-Adopters, explores why this matters: LLM research is being shaped around adopters, leaving non-adopters’ needs and key research opportunities behind. arxiv.org/abs/2510.15951
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Kristina Gligorić
Kristina Gligorić@krisgligoric·
I'm excited to announce that I’ll be joining the Computer Science department at @JohnsHopkins as an Assistant Professor this Fall! I’ll be working on large language models, computational social science, and AI & society—and will be recruiting PhD students. Apply to work with me!
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Hyunwoo Kim
Hyunwoo Kim@hyunw_kim·
📢I'm thrilled to announce that I’ll be joining @KAIST_AI as an Assistant Professor in 2026, leading the Computation & Cognition (COCO) Lab🤖🧠: coco-kaist.github.io We'll be exploring reasoning, learning w/ synthetic data, and social agents! +I'm spending a gap year @nvidia
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Hua Shen✨
Hua Shen✨@huashen218·
✨Personal Milestone✨ Thrilled to share I’ll be a tenure-track Assistant Professor in Computer Science at NYU Shanghai, affiliated with NYU Tandon, starting Fall 2025! 😊🌏@nyushanghai, @nyutandon, @nyuniversity 🧠I’ll be recruiting students via NYU Courant CS & NYU Tandon CSE working at NYC, Shanghai, or more—welcome to join us in exploring 👫-🤖human-AI alignment & interaction! → Research overview and openings on: hua-shen.org 🛩️ Heading to #ICLR2025 & #CHI2025 – love to grab a coffee together☕️👭! - I’ll be at #ICLR (4/26–4/28) — at OpenAI event on 4/26 + organizing our #BiAlign workshop on 4/28. - Then off to #CHI (4/29), hosting two sessions (writing support, human-agent collaboration) + supporting our 🔎🤖 #PromptAuditor paper. Let’s chat at #ICLR & #CHI!🤗 💗Deepest thanks to my incredible advisors @tanmit @windx0303 and committee @tongshuangwu @mbrosson —for your unwavering support through the ups and downs of my job search. I’m so grateful to the many amazing professors and friends who offered invaluable feedback and encouragement during my job preparation💕🙏! 💗I’ve been especially lucky to spend this year at @UW_iSchool and @uwresponsibleai, learning from an excellent community of faculty and students! And to brilliant collaborators in our 👫-🤖"Bidirectional Human-AI Alignment" research, all the amazing professors and students at @umsi @michigan_AI, @ISTatPENNSTATE, my intern mentors in @GoogleDeepMind and @AmazonAGI — thank you for shaping my growth and wonderful journey🙏! 💗Too many names to tag – I carry your generosity and kindness, and will do my best to pay it back and forward 💜🚀💜!
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Akari Asai
Akari Asai@AkariAsai·
3/ 🔍 What is OpenScholar? It's a retrieval-augmented LM with 1️⃣ a datastore of 45M+ open-access papers 2️⃣ a specialized retriever and reranker to search the datastore 3️⃣ an 8B Llama fine-tuned LM trained on high-quality synthetic data 4️⃣ a self-feedback generation pipeline
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