Tootfinder

Bore, n.:
A guy who wraps up a two-minute idea in a two-hour vocabulary.
-- Walter Winchell

#WritersCoffeeClub
16. How much does your working vocabulary change between works?
17. What is the significance of a work's dedication?
18. Do you tend to incorporate supernatural elements in your work?
---
16. Not much, for better or worse. I adapt to the setting, of f course, but beyond that my vocabulary is a part of my writing style.
17. Such dedication.…

A great 'thought for today' from A Word A Day https://wordsmith.org/awad -

Life is mostly froth and bubble, / Two things stand like stone, / Kindness in another’s trouble, / Courage in your own. - Adam Lindsay Gordon, poet (19 Oct 1833-1870)

bag_of_words: Bag of words (2008)
Five text collections in the form of bags-of-words, i.e. a bipartite document–word network. Left nodes are documents and right nodes are words. Edge weights are multiplicities. .
This network has 10336 nodes and 353160 edges.
Tags: Informational, Text, Bipartite, Weighted, Metadata
https://

Chunk Knowledge Generation Model for Enhanced Information Retrieval: A Multi-task Learning Approach
Jisu Kim, Jinhee Park, Changhyun Jeon, Jungwoo Choi, Keonwoo Kim, Minji Hong, Sehyun Kim
https://arxiv.org/abs/2509.15658

Chunk Knowledge Generation Model for Enhanced Information Retrieval: A Multi-task Learning Approach
Traditional query expansion techniques for addressing vocabulary mismatch problems in information retrieval are context-sensitive and may lead to performance degradation. As an alternative, document expansion research has gained attention, but existing methods such as Doc2Query have limitations including excessive preprocessing costs, increased index size, and reliability issues with generated content. To mitigate these problems and seek more structured and efficient alternatives, this study pr…

Is there already an ActivityPub vocabulary for job openings, or cvs?
I'm trying to make my CV-webpage more visible, and also create a job-bot, that everyone can set up with their sources, and queries.
Obviously the idea is, to help people find jobs, and fill vacancies, without having to resort to a centralized network, like e.g. LinkedIn.
I'm aware of these efforts, though they're not ActivityPub related:

Video-STAR: Reinforcing Open-Vocabulary Action Recognition with Tools
Zhenlong Yuan, Xiangyan Qu, Chengxuan Qian, Rui Chen, Jing Tang, Lei Sun, Xiangxiang Chu, Dapeng Zhang, Yiwei Wang, Yujun Cai, Shuo Li
https://arxiv.org/abs/2510.08480

Video-STAR: Reinforcing Open-Vocabulary Action Recognition with Tools
Multimodal large language models (MLLMs) have demonstrated remarkable potential in bridging visual and textual reasoning, yet their reliance on text-centric priors often limits their ability to disentangle semantically similar actions in open-vocabulary scenarios. To address this, we propose Video-STAR, a framework that harmonizes contextual sub-motion decomposition with tool-augmented reinforcement learning for open-vocabulary action recognition (OVAR). Unlike prior methods that treat actions …

Lossless Vocabulary Reduction for Auto-Regressive Language Models
Daiki Chijiwa, Taku Hasegawa, Kyosuke Nishida, Shin'ya Yamaguchi, Tomoya Ohba, Tamao Sakao, Susumu Takeuchi
https://arxiv.org/abs/2510.08102

Lossless Vocabulary Reduction for Auto-Regressive Language Models
Tokenization -- the process of decomposing a given text into a sequence of subwords called tokens -- is one of the key components in the development of language models. Particularly, auto-regressive language models generate texts token by token, i.e., by predicting the next-token distribution given the previous ones, and thus tokenization directly affects their efficiency in text generation. Since each language model has their own vocabulary as a set of possible tokens, they struggle to coopera…

A new study of 6,554 children aged 9 to 10 found that social media users scored lower on reading, vocabulary, and memory tests two years later than non-users (Rhitu Chatterjee/NPR)
https://www.npr.org/sections/shots-health-news…

Day 22: Yuki Urushibara
I've got a few more mangaka left on my short list, and might very well get to at least one more, but Urushibara is the author of Mushishi and anyone who knows either the manga or anime understands immediately why she appears here.
Mushishi is a "seinen" anime, which means it's written for adults, not children or teenagers (although it's very accessible for all ages). It deals with a vast array of life's circumstances through the lens of a traveling mushi expert and the various whimsical supernatural creatures he is called on to deal with. He's not an exorcist though, instead understanding that humans must live in harmony with the mushi, and working like an ecologist to sort things out. As is probably obvious, Urushibara is an incredible world-builder; she's also a top-notch artist and above all, her stories are overflowing with kindness, humanity, and respect for the natural world.
Besides Mushishi, I've read "Suiiki", and it's one of the few manga I stumbled through in the original Japanese, which says a lot given my limited reading vocabulary (and the fact that it doesn't include rubi). It weaves the supernatural into a story of childhood innocence and curiosity in a lovely way.
Much like Shirahama who I mentioned earlier, Urushibara's stories are full of gentle wisdom for all ages, but Urushibara's work is quieter and less dramatic, with an adult main character confident in his expertise instead of a young-and-learning protagonist.
#30AuthorsNoMen