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Reposted by Kate Sanders

Cameron Ellis @camerontellis.bsky.social · 1h

Astronaut meme: "Wait, it's all perception?" "Always has been"

Reposted by Kate Sanders

Conference on Language Modeling @colmweb.org · 17d

Keynote spotlight #4: the second day of COLM will close with @ghadfield.bsky.social from JHU talking about human society alignment, and lessons for AI alignment

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Cornell Tech @cornelltech.bsky.social · 20d

Congratulations to Alane Suhr '22, a #CornellTech Ph.D. #alumni advised by associate professor Yoav Artzi, for receiving the prestigious 2022 @aaai.org / @acmsigai.bsky.social Doctoral Dissertation Award!

Read more about the award here: aaai.org/about-aaai/a...

@yoavartzi.com

AAAI/ACM SIGAI Doctoral Dissertation Award - AAAI

The AAAI/ACM SIGAI Doctoral Dissertation Award recognizes and encourages superior research and writing by doctoral candidates in AI.

aaai.org

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Conrad Hackett @conradhackett.bsky.social · 24d

Time for the world to install a gigawatt of solar power capacity
2004: A year
2010: ~ a month
2015: ~ a week
Now: A day
ourworldindata.org/data-insight... 🧪

Line chart showing that there's been a rapid escalation in how quickly the world installs a gigawatt of solar power capacity.

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terra firma, terra eterna 🚱🌉 @kavi.bsky.social · Aug 31

🚨 Urban Stats 28.0.0 🚨

The mapper is now completely redesigned by me and @spudwaffle.bsky.social, allowing for much prettier looking maps and way more customization alongside significantly more options for geographies!

See below for some of the examples of the maps you can create!

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Yoav Goldberg @yoavgo.bsky.social · Aug 27

When reading AI reasoning text (aka CoT), we (humans) form a narrative about the underlying computation process, which we take as a transparent explanation of model behavior. But what if our narratives are wrong? We measure that and find it usually is.

Now on arXiv: arxiv.org/abs/2508.16599

Humans Perceive Wrong Narratives from AI Reasoning Texts

A new generation of AI models generates step-by-step reasoning text before producing an answer. This text appears to offer a human-readable window into their computation process, and is increasingly r...

arxiv.org

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Daniel Khashabi @danielkhashabi.bsky.social · Aug 26

Paper: arxiv.org/pdf/2505.22037
🔗 Project page: aka.ms/jailbreak-d...
📊 Dataset: huggingface.co/datasets/ja...

jackzhang/JBDistill-Bench · Datasets at Hugging Face

huggingface.co

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Daniel Khashabi @danielkhashabi.bsky.social · Aug 26

So, what's the future of AI safety benchmarks? Jack's solution is "renewable benchmarks" that allows us to refresh and expand benchmarks with a single click!!
x.com/jackjingyuz...

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Rachel Flood Heaton @rachelfloodheaton.bsky.social · Aug 22

In our forthcoming paper, John Hummel and I ask what it would mean for a neural computing architecture such as a brain to implement a symbol system, and the related question of what makes it difficult for them to do so, with an eye toward the differences between humans, animals, and ANNs.

From Basic Affordances to Symbolic Thought: A Computational Phylogenesis of Biological Intelligence

What is it about human brains that allows us to reason symbolically whereas most other animals cannot? There is evidence that dynamic binding, the ability to combine neurons into groups on the fly, is...

arxiv.org

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Shahab Bakhtiari @shahabbakht.bsky.social · Aug 3

This paper is making the rounds: arxiv.org/abs/2506.21734

A tiny (27M) brain-inspired model trained just on 1000 samples outperforming o3-mini-high on reasoning tasks.

#MLSky 🧠🤖

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Parth Nobel @ptnobel.bsky.social · Jul 16

Interested in large-scale GPU optimization? Interested in how modern neural networks are being deployed to solve classical optimization problems?

Writing a paper on these topics? Submit to the ScaleOPT workshop at NeurIPS!

www.cvxgrp.org/scaleopt/#su...

ScaleOPT

www.cvxgrp.org

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Arya McCarthy @ACL2025🇦🇹 @aryamccarthy.bsky.social · Jul 27

I'm recruiting MLEs @ #ACL2025!

Reach out if you know folks interested in legal NLP, structured prediction, and full-time at a startup environment in NYC

I'll also always chat about:
• population-level inference on corpora
• broad-coverage semantics
• which café has the best Sachertorte in Vienna

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boydgraber.bsky.social @boydgraber.bsky.social · Jul 28

My students and I are presenting three papers on Monday at #ACL2025 and this thread will recap them (including their videos).

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Tu Thanh Ha @tuthanhha.bsky.social · Jul 26

“Wikipedia is this economic anomaly. In many ways, it’s sort of magical that people will just volunteer without explicit economic incentives to create artifacts that are meant to share knowledge with everyone in the world”

The Globe and Mail @theglobeandmail.com · Jul 26

Wikipedia editors, the internet’s nerdy unsung heroes, keep the website one of the last best places online

Free of ads and profit-seeking corporate overlords, and maintained by dedicated volunteers, Wikipedia has consistently ranked as one of the top 10 most visited websites worldwide

www.theglobeandmail.com

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Kate Sanders @kesnet50.bsky.social · Jul 26

Taking off for Vienna #ACL2025! 🇦🇹 Excited to talk with people about transparent reasoning, multimodality, and fact verification. Stop by our multimodal RAG workshop on Friday 🔥🔥🔥

Please reach out if you want to grab coffee!

MAGMaR Workshop @magmar-workshop.bsky.social · Jan 14

New Workshop on Multimodal Augmented Generation via MultimodAl Retrieval (MAGMaR) to be held at @aclmeeting.bsky.social ACL in Vienna this summer. We have a new shared task that stumps most LLMs - including ones pretrained on our test collection. nlp.jhu.edu/magmar/

MAGMaR Workshop

MAGMaR

nlp.jhu.edu

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Maria Antoniak @mariaa.bsky.social · Jul 17

The #ACL2025 #ACL2025NLP feed is up and running! It matches both hashtags and any posts from or mentions of @aclmeeting.bsky.social

Pin it to your home 📌 and enjoy!

bsky.app/profile/did:...

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terra firma, terra eterna 🚱🌉 @kavi.bsky.social · Jul 25

Juxtastat DAU update! Crazy how we've been >1000 every day for over a year now!

Thank you all for all your support, and make sure to keep spreading the word!

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ACL @aclmeeting.bsky.social · Jul 22

🥳 🎉 ❤️ The ACL 2025 Proceedings are live on the ACL Anthology 🥰 !
We’re thrilled to pre-celebrate the incredible research 📚 ✨ that will be presented starting Monday next week in Vienna 🇦🇹 !
Start exploring 👉 aclanthology.org/events/acl-2...
#NLProc #ACL2025NLP #ACLAnthology

Annual Meeting of the Association for Computational Linguistics (2025) - ACL Anthology

pdf bibProceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)Wanxiang Che | Joyce Nabende | Ekaterina Shutova | Mohammad Taher Pilehvar

aclanthology.org

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ℳatt @matttomic.bsky.social · Jul 10

This New Yorker piece is the most hopeful I've felt about the world in a long time.

I had no idea solar was booming like this. And if you live in the same world as me, dominated by oil & gas guys maintaining that solar and wind are inefficient gimmicks, you might not've known some of this either.

It took from the invention of the photovoltaic solar cell, in 1954, until 2022 for the world to install a terawatt of solar power; the second terawatt came just two years later, and the third will arrive either later this year or early next.
That’s because people are now putting up a gigawatt’s worth of solar panels, the rough equivalent of the power generated by one coal-fired plant, every fifteen hours. Solar power is now growing faster than any power source in history, and it is closely followed by wind power—which is really another form of energy from the sun, since it is differential heating of the earth that produces the wind that turns the turbines.
Last year, ninety-six per cent of the global demand for new electricity was met by renewables, and in the United States ninety-three per cent of new generating capacity came from solar, wind, and an ever-increasing variety of batteries to store that power.

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Niyati Bafna @niyatibafna.bsky.social · Jul 4

🔈When LLMs solve tasks with a mid-to-low resource input or target language, their output quality is poor. We know that. But can we put our finger on what breaks inside the LLM? We introduce the 💥 translation barrier hypothesis 💥 for failed multilingual generation with LLMs. arxiv.org/abs/2506.22724

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Naomi Saphra @nsaphra.bsky.social · Apr 26

I wrote something up for AI people who want to get into bluesky and either couldn't assemble an exciting feed or gave up doomscrolling when their Following feed switched to talking politics 24/7.

The AI Researcher's Guide to a Non-Boring Bluesky Feed | Naomi Saphra

How to migrate to bsky without a boring feed.

nsaphra.net

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Leland McInnes @lelandmcinnes.bsky.social · Jun 22

Explore Wikipedia through a data map. Pages are grouped by semantic similarity, for topic clusters.
Hover to see details, zoom to explore more fine-grained topics, click to go to a page. Search by page
name to find interesting starting points for exploration.

lmcinnes.github.io/datamapplot_...

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arxiv cs.CL @arxiv-cs-cl.bsky.social · Jun 17

William Walden, Kathryn Ricci, Miriam Wanner, Zhengping Jiang, Chandler May, Rongkun Zhou, Benjamin Van Durme
How Grounded is Wikipedia? A Study on Structured Evidential Support
https://arxiv.org/abs/2506.12637

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Kaiser Sun @kaiserwholearns.bsky.social · Jun 16

What happens when an LLM is asked to use information that contradicts its knowledge? We explore knowledge conflict in a new preprint📑
TLDR: Performance drops, and this could affect the overall performance of LLMs in model-based evaluation.📑🧵⬇️ 1/8
#NLProc #LLM #AIResearch

What Is Seen Cannot Be Unseen: The Disruptive Effect of Knowledge Conflict on Large Language Models

Large language models frequently rely on both contextual input and parametric knowledge to perform tasks. However, these sources can come into conflict, especially when retrieved documents contradict…

arxiv.org

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JHU Computer Science @jhucompsci.bsky.social · Jun 10

Learn about the groundbreaking work being presented by JHU researchers at @cvprconference.bsky.social’s #CVPR2025! Check out the full list here www.cs.jhu.edu/news/johns-h... or browse through the thread below! 🧵 (1/14)

Johns Hopkins researchers to highlight work at CVPR 2025

Researchers from the Department of Computer Science will present groundbreaking work at the IEEE/CVF Computer Vision and Pattern Recognition Conference, the premier annual computer vision event.

www.cs.jhu.edu

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