Tootfinder

NFL news roundup: Texans, guard Wyatt Teller agree to terms on two-year deal https://www.nfl.com/news/nfl-news-roundup-latest-league-updates-from-tuesday-march-17

- AWS Textract: $0.0015 (Detect Text) / $0.015 (Tables/Forms)
- Azure Doc Intelligence: $0.00125 (Read) / $0.01 (structured)
That's ~23x cheaper than cloud OCR for basic text extraction — and up to 140x cheaper compared to structured extraction tiers. 📊
Processing 1,000 PDFs (32,000 pages): $2.32 vs ~$48 (cloud basic OCR) vs $320 (cloud structured).

🇺🇦 #NowPlaying on #BBC6Music's #CerysMatthews
Change:
🎵 Hold Tight
#Change
https://azuro.bandcamp.com/track/change-hold-tight-azuro-edit
https://open.spotify.com/track/586ADgCYMhsW8hux5g7ekV

Eagles land speedy WR Brown, source says https://www.espn.com/nfl/story/_/id/48231996/source-eagles-wr-hollywood-brown-agree-one-year-deal

Sources: Amazon is in advanced talks to acquire satellite operator Globalstar in a deal that could be announced as soon as Tuesday; GSAT jumps 15% pre-market (Bloomberg)
https://www.bloomberg.com/news/articles/2026-04-14/am…

Although both parties have
“strong incentives” to maintain a ceasefire,
the deal is “extremely precarious,”
says Eskandar Sadeghi-Boroujerdi,
professor of international relations of the Middle East at the University of St Andrews in Scotland.
“We’re already seeing it being imperiled as we speak,
with ongoing attacks in Lebanon,
as well as reports of [Iranian] attacks in the Persian Gulf.”

“Sigh of Relief”: U.S. & Iran Agree to 2-Week Ceasefire, But Israel Keeps Bombing Lebanon
The United States and Iran have announced a two-week ceasefire, brokered by Pakistan, under which Iran has agreed to reopen the Strait of Hormuz. Israel is also part of the agreement, but it has said it will continue its attacks and occupation inside Lebanon. The deal was reached less than two hours before President Trump’s 8 p.m. ET deadline Tuesday for Iran to reopen the strait under threat of destroying every power plant and major bridge in Iran. Although both parties have “strong incent…

PHEW! Terminé con cinco minutos restantes.
Here's my short essay from my test. It's about AI, and the impact of technology in general. Go easy on me. (Actual proper citations were not needed)
——
La tecnología mšs importante en la sociedad actual es el inteligencia artificial, IA, o el acrónimo inglés, “AI”.
“AI” es una tecnología relativamente nueva. Él aparecí al comienzo del ano 2023 y cambió ršpidamente la manera que los personas en línea buscaban y creaban. Realmente, “AI” no esta inteligente, mejor dicho uno modelo de lenguaje grande, “LLM” en inglés. LLM significa que los ordenadores que les alimentan no usan razón, pero los intentos a predecir una respuesta de una pregunta o mensaje en función de los patrones de palabras y mensajes en les bancos de datos.(1)
La tecnología ha contribuido en gran medida al progreso del sociedad. La tecnología agrícola lo hizo posible para humanidad a crecer y cambiar de nómada a creer asentamientos y eventualmente ciudades mas grandes. La hecha posible a usar recursos del medio ambiente en nos sociedades. Pero la tecnología ha creado grandes problemas también como desigualdad o cambio climštico.
Yo creo que, en la mayoría de situaciones, la tecnología es una fuerza positiva en la sociedad. Las problemas son creado por los personas sin moralidad, a menudo para la acumulación de la riqueza, influencia, y autoridad. Si la población puede mantener la influencia democrštica para reglamentar la tecnología, como la AI, para el beneficio de la población y los individuos, entonces la tecnología puede contribuir a la progresión de la sociedad.
Finalmente, si los individuos son compasivos y respetuosos, la tecnología reflejarš esa también.
1: “The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity” #español

Replaced article(s) found for cs.CL. https://arxiv.org/list/cs.CL/new
[2/5]:
- POTSA: A Cross-Lingual Speech Alignment Framework for Speech-to-Text Translation
Li, Cui, Wang, Ge, Huang, Li, Peng, Lu, Tashi, Wang, Dang
https://arxiv.org/abs/2511.09232 https://mastoxiv.page/@arXiv_csCL_bot/115541846907664054
- Beyond Elicitation: Provision-based Prompt Optimization for Knowledge-Intensive Tasks
Yunzhe Xu, Zhuosheng Zhang, Zhe Liu
https://arxiv.org/abs/2511.10465 https://mastoxiv.page/@arXiv_csCL_bot/115547607561282911
- $\pi$-Attention: Periodic Sparse Transformers for Efficient Long-Context Modeling
Dong Liu, Yanxuan Yu
https://arxiv.org/abs/2511.10696 https://mastoxiv.page/@arXiv_csCL_bot/115564418836654965
- Based on Data Balancing and Model Improvement for Multi-Label Sentiment Classification Performanc...
Zijin Su, Huanzhu Lyu, Yuren Niu, Yiming Liu
https://arxiv.org/abs/2511.14073 https://mastoxiv.page/@arXiv_csCL_bot/115575715073023141
- HEAD-QA v2: Expanding a Healthcare Benchmark for Reasoning
Alexis Correa-Guill\'en, Carlos G\'omez-Rodr\'iguez, David Vilares
https://arxiv.org/abs/2511.15355 https://mastoxiv.page/@arXiv_csCL_bot/115581410328165116
- Towards Hyper-Efficient RAG Systems in VecDBs: Distributed Parallel Multi-Resolution Vector Search
Dong Liu, Yanxuan Yu
https://arxiv.org/abs/2511.16681 https://mastoxiv.page/@arXiv_csCL_bot/115603508442305146
- Estonian WinoGrande Dataset: Comparative Analysis of LLM Performance on Human and Machine Transla...
Marii Ojastu, Hele-Andra Kuulmets, Aleksei Dorkin, Marika Borovikova, Dage S\"arg, Kairit Sirts
https://arxiv.org/abs/2511.17290 https://mastoxiv.page/@arXiv_csCL_bot/115604083224487885
- A Systematic Study of In-the-Wild Model Merging for Large Language Models
O\u{g}uz Ka\u{g}an Hitit, Leander Girrbach, Zeynep Akata
https://arxiv.org/abs/2511.21437 https://mastoxiv.page/@arXiv_csCL_bot/115621178703846052
- CREST: Universal Safety Guardrails Through Cluster-Guided Cross-Lingual Transfer
Lavish Bansal, Naman Mishra
https://arxiv.org/abs/2512.02711 https://mastoxiv.page/@arXiv_csCL_bot/115655090475535157
- Multilingual Medical Reasoning for Question Answering with Large Language Models
Pietro Ferrazzi, Aitor Soroa, Rodrigo Agerri
https://arxiv.org/abs/2512.05658 https://mastoxiv.page/@arXiv_csCL_bot/115683267711014189
- OnCoCo 1.0: A Public Dataset for Fine-Grained Message Classification in Online Counseling Convers...
Albrecht, Lehmann, Poltermann, Rudolph, Steigerwald, Stieler
https://arxiv.org/abs/2512.09804 https://mastoxiv.page/@arXiv_csCL_bot/115700409397020978
- Does Tone Change the Answer? Evaluating Prompt Politeness Effects on Modern LLMs: GPT, Gemini, an...
Hanyu Cai, Binqi Shen, Lier Jin, Lan Hu, Xiaojing Fan
https://arxiv.org/abs/2512.12812 https://mastoxiv.page/@arXiv_csCL_bot/115729149622659403
- Beg to Differ: Understanding Reasoning-Answer Misalignment Across Languages
Ovalle, Ross, Ruder, Williams, Ullrich, Ibrahim, Sagun
https://arxiv.org/abs/2512.22712 https://mastoxiv.page/@arXiv_csCL_bot/115808161882146194
- Activation Steering for Masked Diffusion Language Models
Adi Shnaidman, Erin Feiglin, Osher Yaari, Efrat Mentel, Amit Levi, Raz Lapid
https://arxiv.org/abs/2512.24143 https://mastoxiv.page/@arXiv_csCL_bot/115819533211103315
- JMedEthicBench: A Multi-Turn Conversational Benchmark for Evaluating Medical Safety in Japanese L...
Liu, Li, Niu, Zhang, Xun, Hou, Wang, Iwasawa, Matsuo, Hatakeyama-Sato
https://arxiv.org/abs/2601.01627 https://mastoxiv.page/@arXiv_csCL_bot/115847901607405421
- FACTUM: Mechanistic Detection of Citation Hallucination in Long-Form RAG
Dassen, Kotula, Murray, Yates, Lawrie, Kayi, Mayfield, Duh
https://arxiv.org/abs/2601.05866 https://mastoxiv.page/@arXiv_csCL_bot/115881545684182376
- {\dag}DAGGER: Distractor-Aware Graph Generation for Executable Reasoning in Math Problems
Zabir Al Nazi, Shubhashis Roy Dipta, Sudipta Kar
https://arxiv.org/abs/2601.06853 https://mastoxiv.page/@arXiv_csCL_bot/115887753245730019
- Symphonym: Universal Phonetic Embeddings for Cross-Script Name Matching
Stephen Gadd
https://arxiv.org/abs/2601.06932 https://mastoxiv.page/@arXiv_csCL_bot/115887767008671765
- LLMs versus the Halting Problem: Revisiting Program Termination Prediction
Sultan, Armengol-Estape, Kesseli, Vanegue, Shahaf, Adi, O'Hearn
https://arxiv.org/abs/2601.18987 https://mastoxiv.page/@arXiv_csCL_bot/115972010510378715
- MuVaC: A Variational Causal Framework for Multimodal Sarcasm Understanding in Dialogues
Diandian Guo, Fangfang Yuan, Cong Cao, Xixun Lin, Chuan Zhou, Hao Peng, Yanan Cao, Yanbing Liu
https://arxiv.org/abs/2601.20451 https://mastoxiv.page/@arXiv_csCL_bot/115977891530875024
toXiv_bot_toot

Eagles, TE Dallas Goedert agree to terms on one-year deal https://www.nfl.com/news/eagles-te-dallas-goedert-agree-to-terms-on-one-year-deal

House Democrats grilled the heads of ICE, CBP and USCIS at a hearing Tuesday
over their role in the Trump administration’s brutal campaign to carry out mass deportations.
“These three directors are responsible for what we are seeing around the country,
whether it’s in detention,
whether it’s in the streets
or even in the courts,”
says Illinois Congressmember Delia Ramirez,
who is calling for her fellow Democrats to suspend funding for the Department…

“De Facto Dictatorship”: Democrats Confront ICE, CBP Officials on Brutal Tactics
House Democrats grilled the heads of ICE, CBP and USCIS at a hearing Tuesday over their role in the Trump administration’s brutal campaign to carry out mass deportations. “These three directors are responsible for what we are seeing around the country, whether it’s in detention, whether it’s in the streets or even in the courts,” says Illinois Congressmember Delia Ramirez, who is calling for her fellow Democrats to suspend funding for the Department of Homeland Security unless Republi…