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Jaemin Cho @jmincho.bsky.social · 15d

I know these are far from perfect, but I hope they offer some help as yet another reference as you navigate your own applications. Good luck, everyone!

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Jaemin Cho @jmincho.bsky.social · 15d

It's application season, and I'm sharing some of my past application materials:
- Academic job market (written in Dec 2024)
- PhD fellowship (written in Apr 2023)
- PhD admission (written in Dec 2019)
on my website (j-min.io)

Jaemin Cho

Jaemin Cho Academic website.

j-min.io

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Jaemin Cho @jmincho.bsky.social · Jul 3

Thanks! Super excited to collaborate with all the amazing folks at JHU CS 😊

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Reposted by Jaemin Cho

JHU Computer Science @jhucompsci.bsky.social · Jul 2

Welcome to JHU! 💙

Jaemin Cho @jmincho.bsky.social · May 20

Some personal updates:
- I've completed my PhD at @unccs.bsky.social! 🎓
- Starting Fall 2026, I'll be joining the CS dept. at Johns Hopkins University @jhucompsci.bsky.social as an Assistant Professor 💙
- Currently exploring options for my gap year (Aug 2025 - Jul 2026), so feel free to reach out! 🔎

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Jaemin Cho @jmincho.bsky.social · May 21

Cool work! Any chance that the name comes after this K-pop group - en.wikipedia.org/wiki/Ive_(gr...? 😆

Ive (group) - Wikipedia

en.wikipedia.org

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Jaemin Cho @jmincho.bsky.social · May 21

Thanks Ana!

Jaemin Cho @jmincho.bsky.social · May 20

Thanks Benno!

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Jaemin Cho @jmincho.bsky.social · May 20

Thanks Mohit for all the support and guidance! It has been a great pleasure to have you as my advisor and to be part of the amazing group for the last 5 years. I have learned so much from you 🙏

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Jaemin Cho @jmincho.bsky.social · May 20

Also, a heartfelt shoutout to all the collaborators I’ve worked with over the years—your ideas, encouragement, and hustle have meant the world. Excited for what’s ahead. Let’s keep building together! ❤️

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Jaemin Cho @jmincho.bsky.social · May 20

Endless thanks to my amazing advisor @mohitbansal.bsky.social, the UNC NLP group, my partner @heesoojang.bsky.social, and my family. I couldn’t have done this without your constant support 🙏

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Jaemin Cho @jmincho.bsky.social · May 20

Some personal updates:
- I've completed my PhD at @unccs.bsky.social! 🎓
- Starting Fall 2026, I'll be joining the CS dept. at Johns Hopkins University @jhucompsci.bsky.social as an Assistant Professor 💙
- Currently exploring options for my gap year (Aug 2025 - Jul 2026), so feel free to reach out! 🔎

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Reposted by Jaemin Cho

Vaidehi Patil @vaidehipatil.bsky.social · May 7

🚨 Introducing our @tmlrorg.bsky.social paper “Unlearning Sensitive Information in Multimodal LLMs: Benchmark and Attack-Defense Evaluation”
We present UnLOK-VQA, a benchmark to evaluate unlearning in vision-and-language models, where both images and text may encode sensitive or private information.

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Reposted by Jaemin Cho

Mohit Bansal @mohitbansal.bsky.social · May 5

🔥 BIG CONGRATS to Elias (and UT Austin)! Really proud of you -- it has been a complete pleasure to work with Elias and see him grow into a strong PI on *all* axes 🤗

Make sure to apply for your PhD with him -- he is an amazing advisor and person! 💙

Elias Stengel-Eskin @esteng.bsky.social · May 5

Extremely excited to announce that I will be joining
@utaustin.bsky.social Computer Science in August 2025 as an Assistant Professor! 🎉

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Reposted by Jaemin Cho

Elias Stengel-Eskin @esteng.bsky.social · May 5

Extremely excited to announce that I will be joining
@utaustin.bsky.social Computer Science in August 2025 as an Assistant Professor! 🎉

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Reposted by Jaemin Cho

Justin Chih-Yao Chen @cyjustinchen.bsky.social · Apr 29

I will be presenting ✨Reverse Thinking Makes LLMs Stronger Reasoners✨at #NAACL2025!

In this work, we show
- Improvements across 12 datasets
- Outperforms SFT with 10x more data
- Strong generalization to OOD datasets

📅4/30 2:00-3:30 Hall 3

Let's chat about LLM reasoning and its future directions!

Justin Chih-Yao Chen @cyjustinchen.bsky.social · Dec 2

🚨 Reverse Thinking Makes LLMs Stronger Reasoners

We can often reason from a problem to a solution and also in reverse to enhance our overall reasoning. RevThink shows that LLMs can also benefit from reverse thinking 👉 13.53% gains + sample efficiency + strong generalization (on 4 OOD datasets)!

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Reposted by Jaemin Cho

Elias Stengel-Eskin @esteng.bsky.social · Apr 29

✈️ Heading to #NAACL2025 to present 3 main conf. papers, covering training LLMs to balance accepting and rejecting persuasion, multi-agent refinement for more faithful generation, and adaptively addressing varying knowledge conflict.

Reach out if you want to chat!

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Reposted by Jaemin Cho

Elias Stengel-Eskin @esteng.bsky.social · Apr 24

Check out 🚨CAPTURe🚨 -- a new benchmark testing spatial reasoning by making VLMs count objects under occlusion.

SOTA VLMs (GPT-4o, Qwen2-VL, Intern-VL2) have high error rates on CAPTURe (but humans have low error ✅) and models struggle to reason about occluded objects.

arxiv.org/abs/2504.15485

🧵👇

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Reposted by Jaemin Cho

Mohit Bansal @mohitbansal.bsky.social · Apr 21

In Singapore for #ICLR2025 this week to present papers + keynotes 👇, and looking forward to seeing everyone -- happy to chat about research, or faculty+postdoc+phd positions, or simply hanging out (feel free to ping)! 🙂

Also meet our awesome students/postdocs/collaborators presenting their work.

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Reposted by Jaemin Cho

Zaid Khan @codezakh.bsky.social · Apr 15

What if we could transform advanced math problems into abstract programs that can generate endless, verifiable problem variants?

Presenting EFAGen, which automatically transforms static advanced math problems into their corresponding executable functional abstractions (EFAs).
🧵👇

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Reposted by Jaemin Cho

Elias Stengel-Eskin @esteng.bsky.social · Apr 12

🚨Announcing TaCQ 🚨 a new mixed-precision quantization method that identifies critical weights to preserve. We integrate key ideas from circuit discovery, model editing, and input attribution to improve low-bit quant., w/ 96% 16-bit acc. at 3.1 avg bits (~6x compression)

📃 arxiv.org/abs/2504.07389

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Jaemin Cho @jmincho.bsky.social · Mar 27

Huge congrats Archiki! 🎉 Very well-deserved 💪

Archiki Prasad @archiki.bsky.social · Mar 27

🥳🥳 Honored and grateful to be awarded the 2025 Apple Scholars in AI/ML PhD Fellowship! ✨

Huge shoutout to my advisor @mohitbansal.bsky.social, & many thanks to my lab mates @unccs.bsky.social , past collaborators + internship advisors for their support ☺️🙏

machinelearning.apple.com/updates/appl...

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Reposted by Jaemin Cho

Shoubin Yu @shoubin.bsky.social · Mar 19

Introducing VEGGIE 🥦—a unified, end-to-end, and versatile instructional video generative model.

VEGGIE supports 8 skills, from object addition/removal/changing, and stylization to concept grounding/reasoning. It exceeds SoTA and shows 0-shot multimodal instructional & in-context video editing.

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Reposted by Jaemin Cho

Vaidehi Patil @vaidehipatil.bsky.social · Feb 25

🚨 Introducing UPCORE, to balance deleting info from LLMs with keeping their other capabilities intact.

UPCORE selects a coreset of forget data, leading to a better trade-off across 2 datasets and 3 unlearning methods.

🧵👇

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Reposted by Jaemin Cho

Ana Marasović @anamarasovic.bsky.social · Feb 21

SO excited to see this one released! Several works, including our TMLR’24 paper, are doubtful about measuring faithfulness purely behaviorally. @mtutek.bsky.social has formulated how to measure faithfulness by actually connecting verbalized CoT reasoning to weights. See more insights in his thread 👇🏻

Martin Tutek @mtutek.bsky.social · Feb 21

🚨🚨 New preprint 🚨🚨

Ever wonder whether verbalized CoTs correspond to the internal reasoning process of the model?

We propose a novel parametric faithfulness approach, which erases information contained in CoT steps from the model parameters to assess CoT faithfulness.

arxiv.org/abs/2502.14829

Measuring Faithfulness of Chains of Thought by Unlearning Reasoning Steps

When prompted to think step-by-step, language models (LMs) produce a chain of thought (CoT), a sequence of reasoning steps that the model supposedly used to produce its prediction. However, despite mu...

arxiv.org

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Reposted by Jaemin Cho

JHU Computer Science @jhucompsci.bsky.social · Feb 17

New joint @jhuclsp.bsky.social seminar with @jmincho.bsky.social! Learn more here: www.cs.jhu.edu/event/cs-cls...

Computer Science & CLSP Seminar Series: Faithful Reasoning and Fine-Grained Evaluation for Multimodal Generation. March 3, 2025, 12 p.m. B-17 Hackerman Hall. Jaemin Cho, University of North Carolina at Chapel Hill.

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