iiinova — where your digital self keeps evolving

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chenhaotan.bsky.social @chenhaotan.bsky.social · 29/08/2025

We are proposing the second workshop on AI & Scientific Discovery at EACL/ACL. The workshop will explore how AI can advance scientific discovery. Please use this Google form to indicate your interest (corrected link): forms.gle/MFcdKYnckNno... More in the 🧵! Please share! #MLSky 🧠

forms.gle

Program Committee Interest for the Second Workshop on AI & Scientific Discovery

We are proposing the second workshop on AI & Scientific Discovery at EACL/ACL (Annual meetings of The Association for Computational Linguistics, the European Language Resource Association and Internat...

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chenhaotan.bsky.social @chenhaotan.bsky.social · 27/07/2025

Check out Aldous’ presentation at the poster session!

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Mingxuan (Aldous) Li @itea1001.bsky.social · 27/07/2025

Excited to present our work at #ACL2025! Come by Poster Session 1 tomorrow, 11:00–12:30 in Hall X4/X5 — would love to chat!

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chenhaotan.bsky.social @chenhaotan.bsky.social · 09/07/2025

Prompting is our most successful tool for exploring LLMs, but the term evokes eye-rolls and grimaces from scientists. Why? Because prompting as scientific inquiry has become conflated with prompt engineering. This is holding us back. 🧵and new paper with @ari-holtzman.bsky.social .

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Xiaoyan Bai @elenal3ai.bsky.social · 27/05/2025

🚨 New paper alert 🚨 Ever asked an LLM-as-Marilyn Monroe who the US president was in 2000? 🤔 Should the LLM answer at all? We call these clashes Concept Incongruence. Read on! ⬇️ 1/n 🧵

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Mingxuan (Aldous) Li @itea1001.bsky.social · 12/05/2025

1/n 🚀🚀🚀 Thrilled to share our latest work🔥: HypoEval - Hypothesis-Guided Evaluation for Natural Language Generation! 🧠💬📊 There’s a lot of excitement around using LLMs for automated evaluation, but many methods fall short on alignment or explainability — let’s dive in! 🌊

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Mourad Heddaya @mheddaya.bsky.social · 01/05/2025

🧑‍⚖️How well can LLMs summarize complex legal documents? And can we use LLMs to evaluate? Excited to be in Albuquerque presenting our paper this afternoon at @naaclmeeting 2025!

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Haokun Liu @haokunliu.bsky.social · 28/04/2025

🚀🚀🚀Excited to share our latest work: HypoBench, a systematic benchmark for evaluating LLM-based hypothesis generation methods! There is much excitement about leveraging LLMs for scientific hypothesis generation, but principled evaluations are missing - let’s dive into HypoBench together.

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Dang Nguyen @divingwithorcas.bsky.social · 14/04/2025

1/n You may know that large language models (LLMs) can be biased in their decision-making, but ever wondered how those biases are encoded internally and whether we can surgically remove them?

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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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kyunghyuncho.bsky.social @kyunghyuncho.bsky.social · 21/12/2024

feeling a but under the weather this week … thus an increased level of activity on social media and blog: kyunghyuncho.me/i-sensed-anx...

kyunghyuncho.me

i sensed anxiety and frustration at NeurIPS’24 – Kyunghyun Cho

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Haokun Liu @haokunliu.bsky.social · 16/11/2024

Check out this podcast for our paper: youtu.be/q7Vrvpc1cPQ?si… (Powered by NotebookLM)

youtu.be

Literature Meets Data: A Synergistic Approach to Hypothesis Generation

YouTube video by Chicago HAI

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Haokun Liu @haokunliu.bsky.social · 22/11/2024

💡Check out our project website for our latest paper! Learn about a new approach to hypothesis generation: 👉 chicagohai.github.io/hypogenic-de...

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Haokun Liu @haokunliu.bsky.social · 14/11/2024

1/ 🚀 New Paper Alert! Excited to share: Literature Meets Data: A Synergistic Approach to Hypothesis Generation 📚📊! We propose a novel framework combining literature insights & observational data with LLMs for hypothesis generation. Here’s how and why it matters.

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