Tootfinder

Will context change the message, or just the optics?

Using Petri Nets for Context-Adaptive Robot Explanations
G\"orkem K{\i}l{\i}n\c{c} Soylu (Department of Computer Science and Informatics, School of Engineering, J\"onk\"oping University, J\"onk\"oping, Sweden), Neziha Akalin (Department of Computer Science and Informatics, School of Engineering, J\"onk\"oping University, J\"onk\"oping, Sweden), Maria Riveiro (Department of Computer Science and Informatics, School of Engineering, J\"onk\…

Using Petri Nets for Context-Adaptive Robot Explanations
In human-robot interaction, robots must communicate in a natural and transparent manner to foster trust, which requires adapting their communication to the context. In this paper, we propose using Petri nets (PNs) to model contextual information for adaptive robot explanations. PNs provide a formal, graphical method for representing concurrent actions, causal dependencies, and system states, making them suitable for analyzing dynamic interactions between humans and robots. We demonstrate this a…

A Survey of Context Engineering for Large Language Models
Lingrui Mei, Jiayu Yao, Yuyao Ge, Yiwei Wang, Baolong Bi, Yujun Cai, Jiazhi Liu, Mingyu Li, Zhong-Zhi Li, Duzhen Zhang, Chenlin Zhou, Jiayi Mao, Tianze Xia, Jiafeng Guo, Shenghua Liu
https://arxiv.org/abs/2507.13334

A Survey of Context Engineering for Large Language Models
The performance of Large Language Models (LLMs) is fundamentally determined by the contextual information provided during inference. This survey introduces Context Engineering, a formal discipline that transcends simple prompt design to encompass the systematic optimization of information payloads for LLMs. We present a comprehensive taxonomy decomposing Context Engineering into its foundational components and the sophisticated implementations that integrate them into intelligent systems. We fi…

Sneaky #git commits
https://tavianator.com/2025/sneaky.html

Spatial Balancing: Harnessing Spatial Reasoning to Balance Scientific Exposition and Narrative Engagement in LLM-assisted Science Communication Writing
Kexue Fu, Jiaye Leng, Yawen Zhang, Jingfei Huang, Yihang Zuo, Runze Cai, Zijian Ding, Ray LC, Shengdong Zhao, Qinyuan Lei
https://arxiv.org/abs/2509.13742

Spatial Balancing: Harnessing Spatial Reasoning to Balance Scientific Exposition and Narrative Engagement in LLM-assisted Science Communication Writing
Balancing scientific exposition and narrative engagement is a central challenge in science communication. To examine how to achieve balance, we conducted a formative study with four science communicators and a literature review of science communication practices, focusing on their workflows and strategies. These insights revealed how creators iteratively shift between exposition and engagement but often lack structured support. Building on this, we developed SpatialBalancing, a co-writing syste…

Good Morning #Canada
It's a slow news day, historically speaking, so I'll share some local, very cool history related to my small community of Belle Ewart. As parts of our country experience heat waves, perhaps this post will remind you that it will get cold again. For you corporate types, a new definition of frozen assets. For everyone else, think about how far we've come as you rattle the ice cubes in your favourite drink.
#CanadaIsAwesome #iceIceBaby
https://www.orilliamatters.com/local-news/lake-simcoe-ice-company-thrived-in-late-19th-century-6192112

Help or Hurdle? Rethinking Model Context Protocol-Augmented Large Language Models
Wei Song, Haonan Zhong, Ziqi Ding, Jingling Xue, Yuekang Li
https://arxiv.org/abs/2508.12566 ht…

Help or Hurdle? Rethinking Model Context Protocol-Augmented Large Language Models
The Model Context Protocol (MCP) enables large language models (LLMs) to access external resources on demand. While commonly assumed to enhance performance, how LLMs actually leverage this capability remains poorly understood. We introduce MCPGAUGE, the first comprehensive evaluation framework for probing LLM-MCP interactions along four key dimensions: proactivity (self-initiated tool use), compliance (adherence to tool-use instructions), effectiveness (task performance post-integration), and o…

Large Language Models in the Data Science Lifecycle: A Systematic Mapping Study
Sai Sanjna Chintakunta, Nathalia Nascimento, Everton Guimaraes
https://arxiv.org/abs/2508.11698 h…

Large Language Models in the Data Science Lifecycle: A Systematic Mapping Study
In recent years, Large Language Models (LLMs) have emerged as transformative tools across numerous domains, impacting how professionals approach complex analytical tasks. This systematic mapping study comprehensively examines the application of LLMs throughout the Data Science lifecycle. By analyzing relevant papers from Scopus and IEEE databases, we identify and categorize the types of LLMs being applied, the specific stages and tasks of the data science process they address, and the methodolo…

Trump is now conducting the most punishing government crackdown against major American media institutions in modern times,
using what seems like every tool at his disposal to eradicate reporting and commentary with which he disagrees.
https://…

What Jimmy Kimmel’s Suspension Says About the Trump Administration’s Crackdown Against Mainstream Media
ABC’s decision to “indefinitely” suspend Jimmy Kimmel’s late-night talk show illuminates the administration’s efficacy so far.

Whole-body Motion Control of an Omnidirectional Wheel-Legged Mobile Manipulator via Contact-Aware Dynamic Optimization
Zong Chen, Shaoyang Li, Ben Liu, Min Li, Zhouping Yin, Yiqun Li
https://arxiv.org/abs/2509.14010

Whole-body Motion Control of an Omnidirectional Wheel-Legged Mobile Manipulator via Contact-Aware Dynamic Optimization
Wheel-legged robots with integrated manipulators hold great promise for mobile manipulation in logistics, industrial automation, and human-robot collaboration. However, unified control of such systems remains challenging due to the redundancy in degrees of freedom, complex wheel-ground contact dynamics, and the need for seamless coordination between locomotion and manipulation. In this work, we present the design and whole-body motion control of an omnidirectional wheel-legged quadrupedal robot…