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Jaemin Cho

@jmincho.bsky.social
208 followers 302 following 32 posts

Incoming assistant professor at JHU CS & Young Investigator at AI2 PhD at UNC j-min.io #multimodal #nlp

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Johns Hopkins Data Science and AI Institute @hopkinsdsai.bsky.social · 19/12/2025
Join us in advancing data science and AI research! The Johns Hopkins Data Science and AI Institute Postdoctoral Fellowship Program is now accepting applications for the 2026–2027 academic year. Apply now! Deadline: Jan 23, 2026. Details and apply: apply.interfolio.com/179059
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Jaemin Cho @jmincho.bsky.social · 23/09/2025
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 · 23/09/2025
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)
j-min.io
Jaemin Cho
Jaemin Cho Academic website.
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Jaemin Cho @jmincho.bsky.social · 03/07/2025
Thanks! Super excited to collaborate with all the amazing folks at JHU CS 😊
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JHU Computer Science @jhucompsci.bsky.social · 02/07/2025
Welcome to JHU! 💙
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Jaemin Cho @jmincho.bsky.social · 21/05/2025
Cool work! Any chance that the name comes after this K-pop group - en.wikipedia.org/wiki/Ive_(gr...? 😆
en.wikipedia.org
Ive (group) - Wikipedia
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Jaemin Cho @jmincho.bsky.social · 21/05/2025
Thanks Ana!
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Jaemin Cho @jmincho.bsky.social · 20/05/2025
Thanks Benno!
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Jaemin Cho @jmincho.bsky.social · 20/05/2025
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 · 20/05/2025
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 · 20/05/2025
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 · 20/05/2025
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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Vaidehi Patil @vaidehipatil.bsky.social · 07/05/2025
🚨 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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Mohit Bansal @mohitbansal.bsky.social · 05/05/2025
🔥 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! 💙
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Elias Stengel-Eskin @esteng.bsky.social · 05/05/2025
Extremely excited to announce that I will be joining @utaustin.bsky.social Computer Science in August 2025 as an Assistant Professor! 🎉
UT Austin campus
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Justin Chih-Yao Chen @cyjustinchen.bsky.social · 30/04/2025
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!
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Elias Stengel-Eskin @esteng.bsky.social · 29/04/2025
✈️ 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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Elias Stengel-Eskin @esteng.bsky.social · 24/04/2025
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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Mohit Bansal @mohitbansal.bsky.social · 21/04/2025
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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Zaid Khan @codezakh.bsky.social · 15/04/2025
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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Elias Stengel-Eskin @esteng.bsky.social · 12/04/2025
🚨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 · 27/03/2025
Huge congrats Archiki! 🎉 Very well-deserved 💪
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Shoubin Yu @shoubin.bsky.social · 19/03/2025
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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Vaidehi Patil @vaidehipatil.bsky.social · 25/02/2025
🚨 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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Ana Marasović @anamarasovic.bsky.social · 21/02/2025
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 👇🏻
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JHU Computer Science @jhucompsci.bsky.social · 17/02/2025
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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Jaemin Cho @jmincho.bsky.social · 05/02/2025
We release code for the M3DocRAG experiments and M3DocVQA dataset creation! Code 👉 github.com/bloomberg/m3... Thread explaining M3DocRAG/M3DocVQA 👉 x.com/jmin__cho/st...
github.com
GitHub - bloomberg/m3docrag
Contribute to bloomberg/m3docrag development by creating an account on GitHub.
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Elias Stengel-Eskin @esteng.bsky.social · 04/02/2025
🚨 Excited to announce UTGen and UTDebug, where we first learn to generate unit tests and then apply them to debugging generated code with LLMs, with strong gains (+12% pass@1) on LLM-based debugging across multiple models/datasets via inf.-time scaling and cross-validation+backtracking! 🧵👇
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Archiki Prasad @archiki.bsky.social · 04/02/2025
🚨 Excited to share: "Learning to Generate Unit Tests for Automated Debugging" 🚨 which introduces ✨UTGen and UTDebug✨ for teaching LLMs to generate unit tests (UTs) and debugging code from generated tests. UTGen+UTDebug yields large gains in debugging (+12% pass@1) & addresses 3 key questions: 🧵👇
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Elias Stengel-Eskin @esteng.bsky.social · 23/01/2025
🎉Very excited that our work on Persuasion-Balanced Training has been accepted to #NAACL2025! We introduce a multi-agent tree-based method for teaching models to balance: 1️⃣ Accepting persuasion when it helps 2️⃣ Resisting persuasion when it hurts (e.g. misinformation) arxiv.org/abs/2410.14596 🧵 1/4
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Jaemin Cho @jmincho.bsky.social · 21/01/2025
Big congratulations to my advisor Mohit! 🎉 Glad to see his significant+sustained contributions have been recognized as a #AAAI Fellow (following the prestigious #PECASE award). Truly well-deserved; congrats! 🙂
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Jaemin Cho @jmincho.bsky.social · 26/12/2024
Check out our postdoc openings at UNC-CH! In addition to the valuable research opportunities, please also note that Chapel Hill and the research triangle are great places to live, with nice weather, food, and people! I truly have enjoyed living here 😊
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Mohit Bansal @mohitbansal.bsky.social · 23/12/2024
🚨 We have postdoc openings at UNC 🙂 Exciting+diverse NLP/CV/ML topics**, freedom to create research agenda, competitive funding, very strong students, mentorship for grant writing, collabs w/ many faculty+universities+companies, superb quality of life/weather. Please apply + help spread the word 🙏
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Gedas Bertasius @gedasb7.bsky.social · 12/12/2024
Excited to attend #NeurIPS and give a talk on video-language models for complex video understanding in the First Workshop on Video-Language Models on Saturday at 10:10am PST. Stop by + DM/email if you want to chat about anything related to video-language modeling.
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Jaemin Cho @jmincho.bsky.social · 12/12/2024
Great work co-led with Jialu Li + collaboration with Yi-Lin Sung, Jaehong Yoon, and @mohitbansal.bsky.social Project website: selma-t2i.github.io
selma-t2i.github.io
SELMA: Learning and Merging Skill-Specific Text-to-Image Experts with Auto-Generated Data
SELMA: Learning and Merging Skill-Specific Text-to-Image Experts with Auto-Generated Data
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Jaemin Cho @jmincho.bsky.social · 12/12/2024
I'm now at #NeurIPS2024! 🔥 (yeah, I'm the one with the red Santa hat🧑‍🎄) On Dec 13 PM, I present SELMA, co led with Jialu Li! 👉 improving the faithfulness of T2I models with automatically generated image-text pairs, with skill-specific expert learning and merging! P.S. I'm on the faculty job market👇
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Jaemin Cho @jmincho.bsky.social · 11/12/2024
Huge congrats!
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Vaidehi Patil @vaidehipatil.bsky.social · 11/12/2024
Jaemin is an expert in multimodal AI, and his practical and insightful suggestions have always been incredibly helpful to me. I’m confident that he will continue to achieve great things in his career!
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Jaemin Cho @jmincho.bsky.social · 11/12/2024
Thanks, Vaidehi! 😊 I’ve really enjoyed reading your diverse work on AI safety, especially in areas like debiasing and unlearning. I’m excited to see how your research continues to make a meaningful impact in the field!
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Elias Stengel-Eskin @esteng.bsky.social · 10/12/2024
✈️ I've landed in Vancouver for #NeurIPS2024 11/12: LACIE, a pragmatic speaker-listener method for training LLMs to express calibrated confidence: arxiv.org/abs/2405.21028 12/12: GTBench, a benchmark for game-theoretic abilities in LLMs: arxiv.org/abs/2402.12348 P.s. I'm on the faculty market👇
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Niranjan @niranjanb.bsky.social · 09/12/2024
Thanks @mohitbansal.bsky.social for the wonderful Distinguished Lecture on agents and multimodal generation. This got so many of us here at Stony Brook excited for the potential in these areas. Also, thanks for spending time with our students & sharing your wisdom. It was a pleasure hosting you!
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Jaemin Cho @jmincho.bsky.social · 09/12/2024
Thanks Shoubin! 🙏 I really enjoyed working with you on the SeViLA project for self-chained video understanding. I’d love to collaborate more in the future and am excited to see what projects you take on next 😀
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Shoubin Yu @shoubin.bsky.social · 09/12/2024
I was so lucky to work with Jaemin in my 1st year and learned a lot from him. I can confidently say he's not only a top mind in multimodal AI but also an incredible mentor&collaborator. He is insightful, hands-on, and genuinely knows how to guide and inspire junior students👇👏
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Martin Ziqiao Ma @marstin.bsky.social · 08/12/2024
I first met Jaemin at the Microsoft Accelerate Foundation Models Research (AFMR) dinner during NeurIPS 2023, though I was already familiar with his papers long before that. He’s definitely a strong candidate to consider!
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Jaemin Cho @jmincho.bsky.social · 08/12/2024
Thanks Martin for the kind words! 🙏 It was great connecting with you at the AFMR dinner last year. I’ve really enjoyed your multimodal research on language grounding, interaction, and embodiments—excited to see what’s next from you! 😄
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Jaemin Cho @jmincho.bsky.social · 08/12/2024
Thanks Elias 🙏 I always learn a lot from you! It has been a great experience collaborating with you on recent projects on multimodal grounding and automatic refinements.
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Elias Stengel-Eskin @esteng.bsky.social · 08/12/2024
Look out for @jmincho.bsky.social's application! He’s absolutely one of the top multimodal minds, I’ve been a fan of his work even before joining UNC and have been lucky enough to see him in action as a top-notch researcher and mentor!
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Jaemin Cho @jmincho.bsky.social · 08/12/2024
Thanks for the kind words, Benno 🙏 I’ve really enjoyed your work on grounding and reasoning. It was great connecting with you at COLM, and I’m excited to see where your research takes you next!
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Benno Krojer @bennokrojer.bsky.social · 08/12/2024
Since I stared my PhD in 2021 I've seen Jaemin's papers and always found them really cool and impactful!
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Jaemin Cho @jmincho.bsky.social · 07/12/2024
and special thanks to my thesis committee: @cvondrick.bsky.social, Jason Baldridge, @gedasb7.bsky.social, @ronisen.bsky.social, @mohitbansal.bsky.social 🙏
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