Jonathan Ivey

CS PhD at Johns Hopkins | @jhuclsp

[Berrak Sisman @berraksismann]

Recruiting PhD students for Fall 2027 at @JohnsHopkins @jhuclsp! My lab works on speech and language, from generation to security and healthcare applications. If you're interested, please apply to the JHU ECE PhD program (select me as a potential advisor). https://t.co/3XQvTaUINn

[Jonathan Ivey @Jonathan_Ivey8]

Big thanks to everyone for helping with this @Robro612 , Austen Liao, @itssaronsamuel, @oldbayes, Han Jiang, @didizhou_, Cole Molloy

[Jonathan Ivey @Jonathan_Ivey8]

I just finished the first year of my PhD. Rather than just share my own perspective, I sat down with 7 other students in my cohort and talked with them about their experiences in depth. In my new post, I share some of our biggest lessons: https://t.co/QVKu105Lq4

[Jonathan Ivey @Jonathan_Ivey8]

4. Though they're our "bosses," many of us found ourselves managing our advisors. We had to be assertive and actively develop the relationship to be the best it can be.

[Jonathan Ivey @Jonathan_Ivey8]

3. Even though we all know that we shouldn’t compare ourselves to others, it was still tempting. It takes real effort to focus on yourself and what’s best for you.

[Ziang Xiao @ZiangXiao]

AI asks more questions now. But do we understand what makes a good qualitative interview? @Jonathan_Ivey8 started by looking into response characteristics and found that common measures used in AI interviewers do not predict response quality. We need to create something new!

[Jonathan Ivey @Jonathan_Ivey8]

@anjalie_f @ZiangXiao #NLProc

[Jonathan Ivey @Jonathan_Ivey8]

What makes a good participant response in qualitative research? In our new paper, we investigate this by analyzing 16,940 responses across 343 interviews to see which characteristics of a response make it most likely to contribute to a study’s findings.

Here’s what we found …

[Jonathan Ivey @Jonathan_Ivey8]

If you’re interested, read our paper and check out our dataset:

Paper: https://t.co/gBK2Kz8qWA
Dataset: https://t.co/MIauQoAoz7
Code: https://t.co/QZSrB1RcHh

[JHU Computer Science @JHUCompSci]

Congrats to our faculty & students who won this year’s Joel Dean Excellence in Teaching Awards—including @ZiangXiao, @StrideBrandon, @mariaromonich, & more—who have exhibited extraordinary performance in teaching undergrads! Learn more about the winners: https://t.co/4KyC4iiTV5

[Nikhil Sharma ༗ @nikhilsksharma]

(1/11) 📢New paper accepted to #CHI2026
AI is designed to learn and adapt from human feedback.
But humans give systematically worse feedback to AI than to other humans.

Why? What feedback barriers exist and how can we fix them?

Find out in our paper: https://t.co/Fdm8Jdp7Hq

#HCI #NLProc #LLM #ML

[JHU CLSP @jhuclsp]

Considering a PhD in NLP/Speech? 🤔
Need guidance with your application materials?

@jhuclsp is offering a student-run application mentoring program for prospective applicants from underrepresented backgrounds.

📝 Learn more & apply: https://t.co/9NjuZ02wy1
📅 Deadline: Nov 20

[Jonathan Ivey @Jonathan_Ivey8]

@david__jurgens @jhuclsp

[Jonathan Ivey @Jonathan_Ivey8]

🎉 Excited to share our paper “NUTMEG: Separating Signal From Noise in Annotator Disagreement” has been accepted to #EMNLP2025!

How do you train a model for tasks with valid disagreement (e.g., hate speech detection)? In our paper, we propose a new answer. (1/3)

[Jonathan Ivey @Jonathan_Ivey8]

Check out the full paper 📄 (https://t.co/QoiH1rWhe7 ) or our easy-to-use PyPI package 🔗 (https://t.co/WpLKwSVDKW)

Huge thanks to Susan Gauch and @david__jurgens for their mentorship on this project. (3/3)