Tootfinder

Reclaim the U.S. flag 🇺🇸at the #NoKings protests around the nation on ⭐️ Saturday, June 14th
when the fascist spends millions of our hard earned tax dollars for a North Korean style military parade for his birthday!
https://

Group Backed by George Soros to Plow Millions Into Turning Texas Blue (Ken Thomas/Wall Street Journal)
https://www.wsj.com/politics/group-backed-by-george-soros-to-plow-millions-into-turning-texas-blue-4dfa75bf
http://www.memeorandum.com/250609/p22#a250609p22

Getty's copyright lawsuit against Stability AI begins at London's High Court, accusing it of unlawfully scraping millions of images; Stability denies the claims (Sam Tobin/Reuters)
https://www.reuters.com/sustainability/boa

ICE raids appear to be giving criminals license to do whatever the f--- they want. But silly me... this has always been about Trump's racism, not law & order.
All you Trump voters are responsible for the misery of millions.
Original post: https://bsky.app/profile/did:plc:6m7rb…

This https://arxiv.org/abs/2505.16652 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…

Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding
Recent advancements in multimodal large language models (MLLMs) have significantly improved performance in visual question answering. However, they often suffer from hallucinations. In this work, hallucinations are categorized into two main types: initial hallucinations and snowball hallucinations. We argue that adequate contextual information can be extracted directly from the token interaction process. Inspired by causal inference in the decoding strategy, we propose to leverage causal masks …

This https://arxiv.org/abs/2506.06091 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

MIRIAD: Augmenting LLMs with millions of medical query-response pairs
LLMs are bound to transform healthcare with advanced decision support and flexible chat assistants. However, LLMs are prone to generate inaccurate medical content. To ground LLMs in high-quality medical knowledge, LLMs have been equipped with external knowledge via RAG, where unstructured medical knowledge is split into small text chunks that can be selectively retrieved and integrated into the LLMs context. Yet, existing RAG pipelines rely on raw, unstructured medical text, which can be noisy,…

"The credit score drop is [as bad as] filing for bankruptcy, and some borrowers are finding out when they try to get car loans or rent apartments."
Student loan missed payments causes credit score drop for millions - The Washington Post
https://www.washingtonpost.com/business/2025/05/25/credit-score-student-loan-elinquency-debt/

AI's environmental impact can be extremely localized. A Maine bill would limit the amount of electricity data centers can siphon from local power grids.
(I'm interviewed for the story)
https://www.bangordailynews.com…

A good news story about the great gender preference divide.
After years of declining sex ratios that saw increases in female infanticide and missing girls, it seems there's a change.
'Globally, among babies born in 2000, a staggering 1.6m girls were missing from the number you would expect, given the natural sex ratio at birth. This year that number is likely to be 200,000—and it is still falling.'
Beautiful hope.

The stunning decline of the preference for having boys
Millions of girls were aborted for being girls. Now parents often lean towards them

This https://arxiv.org/abs/2505.18675 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…

Can MLLMs Guide Me Home? A Benchmark Study on Fine-Grained Visual Reasoning from Transit Maps
Multimodal large language models (MLLMs) have recently achieved significant progress in visual tasks, including semantic scene understanding and text-image alignment, with reasoning variants enhancing performance on complex tasks involving mathematics and logic. However, their capacity for reasoning tasks involving fine-grained visual understanding remains insufficiently evaluated. To address this gap, we introduce ReasonMap, a benchmark designed to assess the fine-grained visual understanding …