Tootfinder

ExpliCIT-QA: Explainable Code-Based Image Table Question Answering
Maximiliano Hormaz\'abal Lagos, \'Alvaro Bueno S\'aez, Pedro Alonso Doval, Jorge Alcalde Vesteiro, H\'ector Cerezo-Costas
https://arxiv.org/abs/2507.11694

ExpliCIT-QA: Explainable Code-Based Image Table Question Answering
We present ExpliCIT-QA, a system that extends our previous MRT approach for tabular question answering into a multimodal pipeline capable of handling complex table images and providing explainable answers. ExpliCIT-QA follows a modular design, consisting of: (1) Multimodal Table Understanding, which uses a Chain-of-Thought approach to extract and transform content from table images; (2) Language-based Reasoning, where a step-by-step explanation in natural language is generated to solve the prob…

Burnout leave, day negative 9:
🧟‍♀️
I met new stakeholders today. They spent the entire time asking questions about my teams of the security engineer (man) on the call, who answered the questions to the best of his ability.
He is not one of my reports, not on my teams. He did not redirect. I did not say anything.
#BurnoutRecovery

"On July 5, the day after the Texas floods hit, the Federal Emergency Management Agency (FEMA) received 3,027 calls from survivors and answered 3,018 of them, about 99.7%, according to Maxine Joselow of the New York Times. But that day, Homeland Security Secretary Kristi Noem did not renew the contracts for four call center companies that answered those calls. The staff at the centers were fired. The next day, July 6, FEMA received 2,363 calls and answered 846, or about 35.8%. On Monday…

July 12, 2025
On July 5, the day after the Texas floods hit, the Federal Emergency Management Agency (FEMA) received 3,027 calls from survivors and answered 3,018 of them, about 99.7%, according to Maxine Joselow of the New York Times. But that day, Homeland Security Secretary Kristi Noem did not renew the contracts for four call center companies that answered those calls. The staff at the centers were fired. The next day, July 6, FEMA received 2,363 calls and answered 846, or about 35.8%. On Monday, July 7,…

FEMA Didn't Answer Thousands Of Calls From Texas Flood Survivors, Call Center Staffers Had Been Fired - Joe.My.God.
https://www.joemygod.com/2025/07/fema-didnt-answer-thousands-of-call-from-texas-flood-survivors-call-center-staffers-had-been-fired/

Focusing on Students, not Machines: Grounded Question Generation and Automated Answer Grading
G\'er\^ome Meyer, Philip Breuer
https://arxiv.org/abs/2506.12066

Focusing on Students, not Machines: Grounded Question Generation and Automated Answer Grading
Digital technologies are increasingly used in education to reduce the workload of teachers and students. However, creating open-ended study or examination questions and grading their answers is still a tedious task. This thesis presents the foundation for a system that generates questions grounded in class materials and automatically grades student answers. It introduces a sophisticated method for chunking documents with a visual layout, specifically targeting PDF documents. This method enhance…

“Are we the baddies?” is not a question anyone in the West has to ask themselves. There’s no question about it. You were. You are. Will you continue to be? That’s the only question that matters and the answer is entirely up to you.
Silence is complicity.
Inaction is complicity.
Apologism is complicity.
Do something!
#israel

End Israeli Apartheid (@EndIsraeliApartheid@mastodon.social)
Attached: 1 image More RAF jets are being sent to the Middle East, Keir Starmer has said after Iran threatened to target UK, French and US bases if the countries help stop strikes on Israel. Additional refuelling aircraft have been deployed from UK bases and more fast jets will be sent over, it is understood. The UK already has RAF jets in the Middle East as part of Operation Shader. https://www.thenational.scot/news/25239897.uk-jets-sent-middle-east-despite-calls-de-escalation/ 🕎 �…

Path-filtration for modal logics applied to revisiting quasi-dense logics
Olivier Gasquet
https://arxiv.org/abs/2507.11258 https://ar…

Path-filtration for modal logics applied to revisiting quasi-dense logics
In https://arxiv.org/pdf/2405.10094 (also published at LICS'24 conference), Lyon and Ostropolski-Nalewaja answer the question of the decidability of quasi-dense modallogics, and give an upper bound in EXPSPACE. Unfortunately, their intricate proof contains a major flaw that cannot be fixed, leaving the question wide open. In this paper we provide a correct and rather simple and direct proof of it by introducing a new variant of the well-know filtration method based on paths in a canonical model…

MapIQ: Benchmarking Multimodal Large Language Models for Map Question Answering
Varun Srivastava, Fan Lei, Srija Mukhopadhyay, Vivek Gupta, Ross Maciejewski
https://arxiv.org/abs/2507.11625

MapIQ: Benchmarking Multimodal Large Language Models for Map Question Answering
Recent advancements in multimodal large language models (MLLMs) have driven researchers to explore how well these models read data visualizations, e.g., bar charts, scatter plots. More recently, attention has shifted to visual question answering with maps (Map-VQA). However, Map-VQA research has primarily focused on choropleth maps, which cover only a limited range of thematic categories and visual analytical tasks. To address these gaps, we introduce MapIQ, a benchmark dataset comprising 14,70…

Overview of the Sensemaking Task at the ELOQUENT 2025 Lab: LLMs as Teachers, Students and Evaluators
Pavel \v{S}indel\'a\v{r}, Ond\v{r}ej Bojar
https://arxiv.org/abs/2507.12143

Overview of the Sensemaking Task at the ELOQUENT 2025 Lab: LLMs as Teachers, Students and Evaluators
ELOQUENT is a set of shared tasks that aims to create easily testable high-level criteria for evaluating generative language models. Sensemaking is one such shared task. In Sensemaking, we try to assess how well generative models ``make sense out of a given text'' in three steps inspired by exams in a classroom setting: (1) Teacher systems should prepare a set of questions, (2) Student systems should answer these questions, and (3) Evaluator systems should score these answers, all adhering ra…

Replaced article(s) found for cs.CL. https://arxiv.org/list/cs.CL/new
[1/2]:
- Answer Generation for Questions With Multiple Information Sources in E-Commerce
Anand A. Rajasekar, Nikesh Garera