Kaitlyn Zhou

@kaitlynzhou.bsky.social

Incoming Assistant Professor @cornellbowers.bsky.social Researcher @togetherai.bsky.social Previously @stanfordnlp.bsky.social @ai2.bsky.social @msftresearch.bsky.social https://katezhou.github.io/

Voice "cloning" is style transfer. Across three widely used systems — ElevenLabs V3, Coqui-XTTS, Chatterbox — clones don't just copy speakers, they reshape them to be warmer, more authoritative, more native English-like, and even more “humanlike”.

🚀 Apply to CMU LTI’s Summer 2026 “Language Technology for All” internship! 🎓 Open to pre‑doctoral students new to language tech (non‑CS backgrounds welcome). 🔬 12–14 weeks in‑person in Pittsburgh — travel + stipend paid. 💸 Deadline: Feb 20, 11:59pm ET. Apply → forms.gle/cUu8g6wb27Hs...

CMU LTI Summer 2026 Internship Program Application

We are looking for applicants for the Carnegie Mellon University Language Technology Institute's Summer 2026 "Language Technology for All" internship program. The main goal of this internship is to pr...

forms.gle

Internship opportunity! Please share! 📣 I'm looking to hire an intern in human-centered NLP for the agents team at Together AI. Come work on frontier AI systems that tackle complex agentic tasks! Research direction is open and looking to publish in NLP and HCI venues!

AI always calling your ideas “fantastic” can feel inauthentic, but what are sycophancy’s deeper harms? We find that in the common use case of seeking AI advice on interpersonal situations—specifically conflicts—sycophancy makes people feel more right & less willing to apologize.

Screenshot of paper title: Sycophantic AI Decreases Prosocial Intentions and Promotes Dependence

New paper hot off the press www.nature.com/articles/s41... We analysed over 40,000 computer vision papers from CVPR (the longest standing CV conf) & associated patents tracing pathways from research to application. We found that 90% of papers & 86% of downstream patents power surveillance 1/

Computer-vision research powers surveillance technology - Nature

An analysis of research papers and citing patents indicates the extensive ties between computer-vision research and surveillance.

nature.com

Do people actually like human-like LLMs? In our #ACL2025 paper HumT DumT, we find a kind of uncanny valley effect: users dislike LLM outputs that are *too human-like*. We thus develop methods to reduce human-likeness without sacrificing performance.

Screenshot of first page of the paper HumT DumT: Measuring and controlling human-like language in LLMs

Here’s something we can all do: every time we see something about the Trump administration’s attacks on science — and the impacts of those attacks — boost it. People, and even faculty, have no idea how bad it is and how much worse it’s going to get. We need to let people know…

Ohio Capital Journal@ohiocapitaljournal.com · last yr.

Commentary: It isn’t just the DEI or climate grants getting the axe from President Trump. Science agencies face up to 55% cuts across the board. This means Ohio students will be denied opportunities for cutting-edge careers given to previous generations buff.ly/rvom6rH

Thrilled that our paper won 🏆 Best Paper Runner-Up 🏆 at #NAACL25!! Our work (REL-A.I.) introduces an evaluation framework that measures human reliance on LLMs and reveals how contextual features like anthropomorphism, subject, and user history can significantly influence user reliance behaviors.

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Life update! Excited to announce that I’ll be starting as an assistant professor at Cornell Info Sci in August 2026! I’ll be recruiting students this upcoming cycle! An abundance of thanks to all my mentors and friends who helped make this possible!!

Thrilled to share that my *incoming* PhD student Yewon Kim’s work on multimodal inspiration in music AI has been recognized with a Best Paper Award at #CHI2025 🎉 Yewon really knocked it out of the park here. Can't wait to see what she does for her PhD! arxiv.org/abs/2412.18940

Amuse: Human-AI Collaborative Songwriting with Multimodal Inspirations

Songwriting is often driven by multimodal inspirations, such as imagery, narratives, or existing music, yet songwriters remain unsupported by current music AI systems in incorporating these multimodal...

arxiv.org