Jimin Mun

78 posts

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Jimin Mun

Jimin Mun

@jiminmun_

phd student @LTIatCMU she/her

Katılım Haziran 2020
391 Takip Edilen302 Takipçiler
Jimin Mun retweetledi
Liwei Jiang
Liwei Jiang@liweijianglw·
We are holding the first workshop on Human-AI Co-Creativity @ ICML 2026, where 1 + 1 > 2! We welcome all works around how 𝐡𝐮𝐦𝐚𝐧𝐬 (broadly defined, like lay people, writers, scientists, journalists, artists, ...) and 𝐀𝐈 (broadly defined, like LLMs, agents, VLM, embodied AI, ...) can come together to create more than themselves alone!
Workshop on Creativity in GenAI @ ICML 2026@creativeai_ws

📢 Call for Papers: ICML 2026 Workshop on Generative AI & Creativity How can generative AI better support human creativity? We’re bringing together ML, HCI, design, and creative communities to explore this question. 🗓️ July 2026, Seoul 📄 Submit by: April 24

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Jocelyn Shen
Jocelyn Shen@jocelynjshen·
Successfully (tearfully) finished my PhD defense!! What amazing friends, family, and mentors I’ve had throughout my many years at MIT 🥹❤️
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Jocelyn Shen
Jocelyn Shen@jocelynjshen·
Excited to share our preprint "The Hidden Puppet Master: Predicting Human Belief Change in Manipulative LLM Dialogues" 📄Paper: arxiv.org/pdf/2603.20907
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Xuhui Zhou
Xuhui Zhou@nlpxuhui·
Creating user simulators is a key to evaluating and training models for user-facing agentic applications. But are stronger LLMs better user simulators? TL;DR: not really. We ran the largest sim2real study for AI agents to date: 31 LLM simulators vs. 451 real humans across 165 tasks. Here's what we found (co-lead with @sunweiwei12).
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Jocelyn Shen
Jocelyn Shen@jocelynjshen·
Thrilled to share that Texterial has received a Best Paper Honorable Mention award 🏆 at #CHI2026! See you in Barcelona 🇪🇸
Jocelyn Shen@jocelynjshen

Excited to share our #CHI2026 paper “Texterial: A Text-as-Material Interaction Paradigm for LLM-Mediated Writing” (done during internship at Microsoft Research) We imagine interacting with LLMs by treating text as a material like plants/clay. 📃arxiv.org/pdf/2603.00452 🧵[1/n]

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Maarten Sap (he/him)
Maarten Sap (he/him)@MaartenSap·
🚀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. forms.gle/cUu8g6wb27HsWW…
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Xuhui Zhou
Xuhui Zhou@nlpxuhui·
LLM agent simulations for policy: A field full of potential and interesting questions. 🏛️🤖 We are excited to open this venue to facilitate open discussion on this important research direction!
Yuxuan Li@YuxuanL_

🚨 New CHI 2026 Workshop 🚨 PoliSim@CHI 2026: LLM Agent Simulation for Policy How can LLM agent simulations move beyond demos to actually support policy? We’re bringing together HCI & NLP researchers, policymakers, and designers to explore useful, responsible, stakeholder-centered simulation for policy. Format: keynotes, lightning talks, interactive discussions 👉 Call for participation & details: polisim.net

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Chani Jung
Chani Jung@_chani_jung·
LLMs are great at answering questions... but how do they ask them❓🤔 Come check out our paper “How Do LLMs Ask Questions?” at the #NeurIPS2025 @CogInterp Workshop and ask your questions! 📅 Sun, Dec 7 ⏰ 1:15–2:45 PM PST 📍 Upper Level Room 5AB
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Liwei Jiang
Liwei Jiang@liweijianglw·
Super happy to receive the Best Paper Award at #NeurIPS2025 for our Artificial Hivemind paper!! (Really enjoyed giving oral talk at NeurIPS as well!)
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Liwei Jiang@liweijianglw

⚠️Different models. Same thoughts.⚠️ Today’s AI models converge into an 𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐇𝐢𝐯𝐞𝐦𝐢𝐧𝐝 🐝, a striking case of mode collapse that persists even across heterogeneous ensembles. Our #neurips2025 𝐃&𝐁 𝐎𝐫𝐚𝐥 𝐩𝐚𝐩𝐞𝐫 (✨𝐭𝐨𝐩 𝟎.𝟑𝟓%✨) dives deep into this phenomenon, introducing 𝐈𝐧𝐟𝐢𝐧𝐢𝐭𝐲-𝐂𝐡𝐚𝐭, a real-world dataset of 26K real-world open-ended user queries spanning 17 open-ended categories + 31K dense human annotations (𝟐𝟓 𝐢𝐧𝐝𝐞𝐩𝐞𝐧𝐝𝐞𝐧𝐭 𝐚𝐧𝐧𝐨𝐭𝐚𝐭𝐨𝐫𝐬 𝐩𝐞𝐫 𝐞𝐱𝐚𝐦𝐩𝐥𝐞) to push AI’s creative and discovery potential forward. Now you can build your favorite models to be truly original, diverse, and impactful in the open-ended real world. 📍Paper: arxiv.org/abs/2510.22954 📍Data: huggingface.co/collections/li… We also systematically reveal Artificial Hivemind across: 💥 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐚𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬: not only do individual LLMs repeat themselves, but different models produce strikingly similar content, even when asked fully open-ended questions. 💥 𝐃𝐢𝐬𝐜𝐫𝐢𝐦𝐢𝐧𝐚𝐭𝐢𝐯𝐞 𝐚𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬: LLMs, LM judges, and reward models are systematically miscalibrated when rating alternative responses to open-ended queries. (1/N)

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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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Language Technologies Institute | @CarnegieMellon
Congratulations to our own Maarten Sap on the tremendous honor of being named a 2025 Packard Fellow!
Maarten Sap (he/him)@MaartenSap

I’m ✨ super excited and grateful ✨to announce that I'm part of the 2025 class of #PackardFellows (packard.org/2025fellows). The Packard Foundation and this fellowship will allow me to explore exciting research directions towards culturally responsible and safe AI 🌍🌈

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Simran Khanuja
Simran Khanuja@simi_97k·
📢 Announcing the First Workshop on Multilingual and Multicultural Evaluation (MME) — co-located with #EACL2026 🇲🇦 📅 Mar 24–29, 2026 | Rabat, Morocco MME focuses on resources, metrics & methodologies for evaluating multilingual systems! …al-multicultural-evaluation.github.io 🗓️ Submit by Dec 19, 2025
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Jimin Mun
Jimin Mun@jiminmun_·
We find that 1) acceptance of AI varies widely depending on use case context, 2) judgments differ between demographic groups, and 3) people use both cost-benefit AND rule-based reasoning to make their decisions where diverging strategies show higher disagreement.
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Jimin Mun
Jimin Mun@jiminmun_·
To build consensus around AI use cases, it's imperative to understand how people, especially lay-users, reason about AI use cases. We asked 197 participants to make decisions on individual AI use cases and share their reasoning process.
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Jimin Mun
Jimin Mun@jiminmun_·
Next stop for conference hopping: #AIES2025 in Madrid! I'll be giving an oral presentation of our paper Why (Not) Use AI during paper session 1 tomorrow (10/20) at 11:45AM :) See details in thread below 👇 arxiv.org/abs/2502.07287
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Usman Anwar
Usman Anwar@usmananwar391·
SoLaR workshop is happening now in Room 524b at @COLM_conf. Come join us! #COLM2025
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Liwei Jiang
Liwei Jiang@liweijianglw·
(Fri Oct 10) SoLaR Workshop Please join us at the third iteration of the SoLaR workshop (Socially Responsible Language Models Research)! We have a very exciting full day program! Thanks the amazing organization efforts with @valentina__py @MaartenSap @jiminmun_ and other co-organizers! (6/N)
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Liwei Jiang@liweijianglw

Although I can’t attend #COLM2025 in person this year, my 𝐀𝐁𝐒𝐎𝐋𝐔𝐓𝐄𝐋𝐘 𝐈𝐍𝐂𝐑𝐄𝐃𝐈𝐁𝐋𝐄 collaborators and co-organizers are running some exciting sessions. Be sure to check them out! (1/N)

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Valentina Pyatkin
Valentina Pyatkin@valentina__py·
🔈For the SoLaR workshop @COLM_conf we are soliciting opinion abstracts to encourage new perspectives and opinions on responsible language modeling, 1-2 of which will be selected to be presented at the workshop. Please use the google form below to submit your opinion abstract ⬇️
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Stella Li
Stella Li@StellaLisy·
🤯 We cracked RLVR with... Random Rewards?! Training Qwen2.5-Math-7B with our Spurious Rewards improved MATH-500 by: - Random rewards: +21% - Incorrect rewards: +25% - (FYI) Ground-truth rewards: + 28.8% How could this even work⁉️ Here's why: 🧵 Blogpost: tinyurl.com/spurious-rewar…
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