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Alysson @leastsquared.bsky.social · 07/02/2026

Additionally, extractive models were considered, including TextRank (Nenkova and McKeown, 2011), LexRank (Erkan and Radev, 2004), LSA (Steinberger and JeŽek, 2004), KLSum (Haghighi and Vanderwende, 2009), and SumBasic (Woodsend and Lapata, 2011)

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Alysson @leastsquared.bsky.social · 07/02/2026

The following models were evaluated: BART (Lewis et al., 2019), Gemma (Gemma Team et al., 2024), Sabiá (Pires et al., 2023), Llama (Team, 2024a), TeenyTinyLlama (Corrêa et al., 2024), Hermes (Teknium et al., 2024), Qwen (Team, 2024b), and Tucano (Corrêa et al., 2025).

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Alysson @leastsquared.bsky.social · 07/02/2026

I experimentally evaluated the use of small language models in the task of text summarization in the context of auditing in Brazilian public health using news data.

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Alysson @leastsquared.bsky.social · 07/02/2026

My article, titled "Small language models applied in text summarization task of health-related news to improve public health audit: an experimental case study" has just been published in Frontiers in Artificial Intelligence. doi.org/10.3389/frai... #nlp #nlproc #llm #slm

doi.org

Frontiers | Small language models applied in text summarization task of health-related news to improve public health audit: an experimental case study

ContextFraud and corruption are among the main crimes affecting public institutions, with the healthcare sector being particularly vulnerable due to its stru...

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The Transmitter @thetransmitter.bsky.social · 21/07/2025

Embodiment is the concept that the function of the brain is inexorably shaped by the body, a lens that is often neglected when neuroscientists study specific brain subsystems, write @bingbrunton.bsky.social and @tuthill.bsky.social. #neuroskyence #neuroai www.thetransmitter.org/neuroai/brea...

thetransmitter.org

Breaking the jar: Why NeuroAI needs embodiment

Brain function is inexorably shaped by the body. Embracing this will benefit computational models of real brain function and the design of ANNs.

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François Fleuret @francois.fleuret.org · 26/11/2024

My deep learning course at the University of Geneva is available on-line. 1000+ slides, ~20h of screen-casts. Full of examples in PyTorch. fleuret.org/dlc/ And my "Little Book of Deep Learning" is available as a phone-formatted pdf (nearing 700k downloads!) fleuret.org/lbdl/

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Dr Bluesky @bostadevaca.bsky.social · 23/12/2024

Oi aqui é o Luigi Mangione eu estou precisando de um pix pra pagar a minha advogada

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Alysson @leastsquared.bsky.social · 24/12/2024

Acordando cedo sem despertador

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Sung Kim @sungkim.bsky.social · 13/12/2024

Pre-training as we know it will end - Dr. Ilya Sutskever at NeurIPS 2024

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Alysson @leastsquared.bsky.social · 14/12/2024

No. Words not seen by the model are "understood" yes. At least, the numerical representation will be approximated, simply because the models are trained contextually. If you simply give a model a task with sentences with some invented words, it will be able to solve the task.

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Alysson @leastsquared.bsky.social · 14/12/2024

Reading ≃ 450 abstracts of studies on text summarization applied in the context of health, medicine and biomedicine to carry out a systematic mapping of the literature, and I thought there would be many more studies on text summarization in this area.

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Marco @mcognetta.bsky.social · 11/11/2024

#EMNLP has a nice set of tokenization/subword modeling papers this year. It's a good mix of tokenization algorithms, tokenization evaluation, tokenization-free methods, and subword embedding probing. Lmk if I missed some! Here is a list with links + presentation time (in chronological order).

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Alysson @leastsquared.bsky.social · 28/11/2024

the data not seen by the model follows the structure of the language of the data seen. So, in a way, they can indeed "reason" (with many quotation marks) about unseen data.

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Alysson @leastsquared.bsky.social · 27/11/2024

Working on my dissertation qualification. Already receiving several criticisms about points of improvement from my advisor, but I ended up having other insights

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Katherine Liu @katherineliu.bsky.social · 19/11/2024

A starter pack of starter packs: Robotics and AI go.bsky.app/DfAoaJ1 Computer Vision go.bsky.app/PkAKJu5 Computer Graphics Research go.bsky.app/ckQ1u9 Grumpy Machine Learners go.bsky.app/6ddpivr Reinforcement Learning go.bsky.app/3WPHcHg

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Hugo Spiers @hugospiers.bsky.social · 25/11/2024

Wow that is an impressive image of neurons and their beautiful connections From: Super-resolution imaging of fast morphological dynamics of neurons in behaving animals www.nature.com/articles/s41...

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Mohammed Hamdy @mmhamdy.bsky.social · 22/11/2024

🤖 ML/AI Mega Starter Pack 1. Open-source LLMS go.bsky.app/FELkyDr 🧵

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vera.ai @vera-ai.bsky.social · 22/11/2024

Webinar reminder: on 26 November 2024 from 11-12 am CET the @sheffieldnlp.bsky.social team (led by K Bontcheva) will showcase veraAI work on text mining and analysis, and how this can support #factchecking. Register here for access (it's organized by @ebu.bsky.social). tech.ebu.ch/events/2024/...

tech.ebu.ch

VeraAI text analysis tools for fact-checking

A webinar series on innovative AI-based fact-checking tools from the veraAI project

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Alex Choi @aschoi.bsky.social · 19/11/2024

🚨🚨The LLM Effect: Are Humans Truly Using LLMs, or Are They Being Influenced By Them Instead?🧑🤖 This is a massive question that is both important and timely. 📜https://aclanthology.org/2024.emnlp-main.1230/ w/ Sabrina Akter, JP Singh, and @antonisa.bsky.social Accepted to #EMNLP2024 Main, 1/3

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Rafael Izbicki @rafael-izbicki.bsky.social · 16/10/2024

Stop oversampling! Changing the cutoff in probabilistic classifiers is enough for imbalanced data. In our new paper, Gabriel O. Assunção, Marcos O. Prates, and I explore this in depth. jds-online.org/journal/JDS/... #DataScience #MachineLearning #ImbalancedData #AI #Oversampling

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Qiaosi (Chelsea) Wang @qiaosiwang.bsky.social · 22/11/2024

🧠🤖I just put together a starter pack for CogSci & human-centered AI researchers. Looking to add more folks here— let me know! go.bsky.app/NTjjUwG #cogsci #ai #hci

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Maike Osborne @maosbot.bsky.social · 09/11/2024

New here? Interested in AI/ML? Check out these great starter packs! AI: go.bsky.app/SipA7it RL: go.bsky.app/3WPHcHg Women in AI: go.bsky.app/LaGDpqg NLP: go.bsky.app/SngwGeS AI and news: go.bsky.app/5sFqVNS You can also search all starter packs here: blueskydirectory.com/starter-pack...

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Alysson @leastsquared.bsky.social · 21/11/2024

I've seen some interest emerging about neurosymbolic AIs. Which would be great for explainability and to eliminate this subjectivity that exists about LLM vector spaces.

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