Tootfinder

This is a really really positive thing.
But it also irks me just a little that my kids and others looking for standard service-industry work apply for dozens of "job openings" and 95% of the time they are ghosted and of the 5% that give an answer, 95% of those are unsuccessful.
The general job market is broken
#bcpoli #canpoli #jobs https://hci.social/@tod/115210849953973339

Details from Ashley Parker and Michael Scherer’s study of Trump’s cellphone habits have a way of lingering in the mind.
The president’s personal number is “broadly circulated.”
He picks up calls from unknown numbers, and keeps a photograph of his own face on his lock screen.
The Cellphone in Chief is a “portal,” Parker and Scherer write,
but it’s also a mirror, a security blanket, and a vulnerability.
Their short psychological study suggests a man who is occasio…

A Curriculum Learning Approach to Reinforcement Learning: Leveraging RAG for Multimodal Question Answering
Chenliang Zhang, Lin Wang, Yuanyuan Lu, Yusheng Qi, Kexin Wang, Peixu Hou, Wenshi Chen
https://arxiv.org/abs/2508.10337

A Curriculum Learning Approach to Reinforcement Learning: Leveraging RAG for Multimodal Question Answering
This paper describes the solutions of the Dianping-Trust-Safety team for the META CRAG-MM challenge. The challenge requires building a comprehensive retrieval-augmented generation system capable for multi-modal multi-turn question answering. The competition consists of three tasks: (1) answering questions using structured data retrieved from an image-based mock knowledge graph, (2) synthesizing information from both knowledge graphs and web search results, and (3) handling multi-turn conversati…

Can Cowboys profit after investing just $8 million, Day 3 pick in crucial position? https://cowboyswire.usatoday.com/story/sports/nfl/cowboys/2025/07/16/will-sanders-williams-or-rookie-jaydon-blue-e…

Wave maps from circle to Riemannian manifold: global controllability is equivalent to homotopy
Jean-Michel Coron, Joachim Krieger, Shengquan Xiang
https://arxiv.org/abs/2509.12779

Wave maps from circle to Riemannian manifold: global controllability is equivalent to homotopy
We study wave maps from the circle to a general compact Riemannian manifold. We prove that the global controllability of this geometric equation is characterized precisely by the homotopy class of the data. As a remarkable intermediate result, we establish uniform-time global controllability between steady states, providing a partial answer to an open problem raised by Dehman, Lebeau and Zuazua (2003). Finally, we obtain quantitative exponential stability around closed geodesics with negative s…

Learning from Natural Language Feedback for Personalized Question Answering
Alireza Salemi, Hamed Zamani
https://arxiv.org/abs/2508.10695 https://arxiv.org…

Learning from Natural Language Feedback for Personalized Question Answering
Personalization is crucial for enhancing both the effectiveness and user satisfaction of language technologies, particularly in information-seeking tasks like question answering. Current approaches for personalizing large language models (LLMs) often rely on retrieval-augmented generation (RAG), followed by reinforcement learning with scalar reward signals to teach models how to use retrieved personal context. We believe that these scalar rewards sometimes provide weak, non-instructive feedback…

Fine-grained Timing Analysis of Digital Integrated Circuits in Answer Set Programming
Alessandro Bertagnon, Marcello Dalpasso, Michele Favalli, Marco Gavanelli
https://arxiv.org/abs/2507.11150

Fine-grained Timing Analysis of Digital Integrated Circuits in Answer Set Programming
In the design of integrated circuits, one critical metric is the maximum delay introduced by combinational modules within the circuit. This delay is crucial because it represents the time required to perform a computation: in an Arithmetic-Logic Unit it represents the maximum time taken by the circuit to perform an arithmetic operation. When such a circuit is part of a larger, synchronous system, like a CPU, the maximum delay directly impacts the maximum clock frequency of the entire system. Ty…

Facilitating Personalized TTS for Dysarthric Speakers Using Knowledge Anchoring and Curriculum Learning
Yejin Jeon, Solee Im, Youngjae Kim, Gary Geunbae Lee
https://arxiv.org/abs/2508.10412

Facilitating Personalized TTS for Dysarthric Speakers Using Knowledge Anchoring and Curriculum Learning
Dysarthric speakers experience substantial communication challenges due to impaired motor control of the speech apparatus, which leads to reduced speech intelligibility. This creates significant obstacles in dataset curation since actual recording of long, articulate sentences for the objective of training personalized TTS models becomes infeasible. Thus, the limited availability of audio data, in addition to the articulation errors that are present within the audio, complicates personalized sp…

I had to do a little more plumbing to at least get things up to a poijt where I could anchor the pipe in the bottom and put pebble down over the whole bottom hopefully tomorrow.
I need two more 45° elbows to keep the pipe close to the side as it comes up but that's not critical. At least like this if I have to fill it with water nothing will be too hard to fix.
#poolpond #backyardProject #DIY

ChartGaze: Enhancing Chart Understanding in LVLMs with Eye-Tracking Guided Attention Refinement
Ali Salamatian, Amirhossein Abaskohi, Wan-Cyuan Fan, Mir Rayat Imtiaz Hossain, Leonid Sigal, Giuseppe Carenini
https://arxiv.org/abs/2509.13282

ChartGaze: Enhancing Chart Understanding in LVLMs with Eye-Tracking Guided Attention Refinement
Charts are a crucial visual medium for communicating and representing information. While Large Vision-Language Models (LVLMs) have made progress on chart question answering (CQA), the task remains challenging, particularly when models attend to irrelevant regions of the chart. In this work, we present ChartGaze, a new eye-tracking dataset that captures human gaze patterns during chart reasoning tasks. Through a systematic comparison of human and model attention, we find that LVLMs often diverge…