iiinova — where your digital self keeps evolving

Stella Li @stellali.bsky.social · 25/11/2025

🤔💭What even is reasoning? It's time to answer the hard questions! We built the first unified taxonomy of 28 cognitive elements underlying reasoning Spoiler—LLMs commonly employ sequential reasoning, rarely self-awareness, and often fail to use correct reasoning structures🧠

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Michael Noukhovitch @mnoukhov.bsky.social · 20/11/2025

Because Olmo 3 is fully open, we decontaminate our evals from our pretraining and midtraining data. @stellali.bsky.social proves this with spurious rewards: RL trained on a random reward signal can't improve on the evals, unlike some previous setups

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Maarten Sap @maartensap.bsky.social · 06/10/2025

Day 1 (Tue Oct 7) 4:30-6:30pm, Poster Session 2 Poster #77: ALFA: Aligning LLMs to Ask Good Questions: A Case Study in Clinical Reasoning; led by @stellali.bsky.social & @jiminmun.bsky.social

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Stella Li @stellali.bsky.social · 22/07/2025

WHY do you prefer something over another? Reward models treat preference as a black-box😶‍🌫️but human brains🧠decompose decisions into hidden attributes We built the first system to mirror how people really make decisions in our recent COLM paper🎨PrefPalette✨ Why it matters👉🏻🧵

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Eric Frankel @esfrankel.bsky.social · 27/02/2025

Want to quickly sample high-quality images from diffusion models, but can’t afford the time or compute to distill them? Introducing S4S, or Solving for the Solver, which learns the coefficients and discretization steps for a DM solver to improve few-NFE generation. Thread 👇 1/

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Stella Li @stellali.bsky.social · 21/02/2025

Asking the right questions can make or break decisions in fields like medicine, law, and beyond✴️ Our new framework ALFA—ALignment with Fine-grained Attributes—teaches LLMs to PROACTIVE seek information through better questions through **structured rewards**🏥❓ (co-led with @jiminmun.bsky.social) 👉🏻🧵

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Julia Mendelsohn @jmendelsohn2.bsky.social · 20/02/2025

New preprint! Metaphors shape how people understand politics, but measuring them (& their real-world effects) is hard. We develop a new method to measure metaphor & use it to study dehumanizing metaphor in 400K immigration tweets Link: bit.ly/4i3PGm3 #NLP #NLProc #polisky #polcom #compsocialsci 🐦🐦

Screenshot of top half of first page of paper. The paper is titled: "When People are Floods: Analyzing Dehumanizing Metaphors in Immigration Discourse with Large Language Models". The authors are Julia Mendelsohn (University of Chicago) and Ceren Budak (University of Michigan). The top right corner contains a visual showing the sentence "They want immigrants to pour into and infest this country". The caption says: Figure 1: Dehumanizing sentence likening immigrants to the source domain concepts of Water and Vermin via the words "pour" and "infest".

The abstract text on the left reads: Metaphor, discussing one concept in terms of another, is abundant in politics and can shape how people understand important issues. We develop a computational approach to measure metaphorical language, focusing on immigration discourse on social media. Grounded in qualitative social science research, we identify seven concepts evoked in immigration discourse (e.g. "water" or "vermin"). We propose and evaluate a novel technique that leverages both word-level and document-level signals to measure metaphor with respect to these concepts. We then study the relationship between metaphor, political ideology, and user engagement in 400K US tweets about immigration. While conservatives tend to use dehumanizing metaphors more than liberals, this effect varies widely across concepts. Moreover, creature-related metaphor is associated with more retweets, especially for liberal authors. Our work highlights the potential for computational methods to complement qualitative approaches in understanding subtle and implicit language in political discourse.

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Stella Li @stellali.bsky.social · 20/12/2024

The feeling when you thought you were scooped from the title and the abstract but then unscooped after reading the actual paper is my best christmas present🤌💕🎁

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Neil Renic @ncrenic.bsky.social · 10/12/2024

Just had an idea

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Stella Li @stellali.bsky.social · 10/12/2024

Excited to present MediQ at #NeurIPS ! 📍Stop by my poster: East Exhibit Hall A-C #4805📷 🕚Thu, Dec 12 | 11am–2pm 🗓️tinyurl.com/mediq2024 Love to chat about anything--reasoning, synthetic data, multi-agent interaction, multilingual nlp! Message me if you want to chat☕️🍵🧋

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Stella Li @stellali.bsky.social · 06/12/2024

31% of US adults use generative AI for healthcare 🤯But most AI systems answer questions assertively—even when they don’t have the necessary context. Introducing #MediQ a framework that enables LLMs to recognize uncertainty🤔and ask the right questions❓when info is missing: 🧵

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Stella Li @stellali.bsky.social · 04/12/2024

study music:1, taylor swift:0 (only for September I swear😅) Spotify knows too much about me….

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Allen School @uwcse.bsky.social · 26/11/2024

We created an Allen School Starter Pack to help you find and connect with @uofwa.bsky.social #UWAllen labs and researchers on 🦋! We'll add to this list as we grow our community here: go.bsky.app/RyHBLJd #AcademicBluesky #CompSci #AI #CompBio #UbiComp #Accessibility #NLP #HCI #DataViz #mHealth

go.bsky.app

Allen School Starter Pack

Join the conversation

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Stella Li @stellali.bsky.social · 25/11/2024

OpenReview turned into Reddit🤯 Can we now add upvote/downvote buttons to reviews and rebuttals plz?? Would be a very rich and interesting source of preference data🤡

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Marc Marone @marcmarone.com · 23/11/2024

I noticed a lot of starter packs skewed towards faculty/industry, so I made one of just NLP & ML students: go.bsky.app/vju2ux Students do different research, go on the job market, and recruit other students. Ping me and I'll add you!

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Stella Li @stellali.bsky.social · 21/11/2024

Came across this paper, very cute of @hamishivi.bsky.social to say "popular BERT model"🤡

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xuan (ɕɥɛn / sh-yen) @xuanalogue.bsky.social · 19/11/2024

I'm biased ofc but IMO the ~right theoretical framework for thinking and talking about instructable LLM-based agents is assistance games (a.k.a. Cooperative Inverse Reinforcement Learning (CIRL) games).

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Emilio Ferrara @emilioferrara.bsky.social · 14/11/2024

Ready for another Computational Social Science Starter Pack? Here is number 2! More amazing folks to follow! Many students and the next gen represented! go.bsky.app/GoEyD7d

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Akari Asai @akariasai.bsky.social · 19/11/2024

1/ Introducing ᴏᴘᴇɴꜱᴄʜᴏʟᴀʀ: a retrieval-augmented LM to help scientists synthesize knowledge 📚 @uwnlp.bsky.social & Ai2 With open models & 45M-paper datastores, it outperforms proprietary systems & match human experts. Try out our demo! openscholar.allen.ai

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Stella Li @stellali.bsky.social · 19/11/2024

I noticed that all the X posts about migrating to 🦋 (with the app name, the emoji, or even “the other platform”) get extremely down ranked😅 very sad/disturbed to see the level of content control over there🤯

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Stella Li @stellali.bsky.social · 18/11/2024

Had so much fun presenting our work ValueScope (arxiv.org/abs/2407.024...) at #EMNLP2024 and (mostly) enjoying Miami with friends last week🫶🏻🏖️!! Also learned about so many amazing works and now I’m inspired to start working again🫡💕

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