Tootfinder

Excited to join the Instructional Design AI special interest group in a fast-paced “Lightning Round” session Thursday 3pm EDT, where I'll show how to get students thinking about AI's environmental footprint by comparing its impacts to other activities https://osu.zoom.us/meeting/register/X

Eigen-1: Adaptive Multi-Agent Refinement with Monitor-Based RAG for Scientific Reasoning
Xiangru Tang, Wanghan Xu, Yujie Wang, Zijie Guo, Daniel Shao, Jiapeng Chen, Cixuan Zhang, Ziyi Wang, Lixin Zhang, Guancheng Wan, Wenlong Zhang, Lei Bai, Zhenfei Yin, Philip Torr, Hanrui Wang, Di Jin
https://arxiv.org/abs/2509.21193

Eigen-1: Adaptive Multi-Agent Refinement with Monitor-Based RAG for Scientific Reasoning
Large language models (LLMs) have recently shown strong progress on scientific reasoning, yet two major bottlenecks remain. First, explicit retrieval fragments reasoning, imposing a hidden "tool tax" of extra tokens and steps. Second, multi-agent pipelines often dilute strong solutions by averaging across all candidates. We address these challenges with a unified framework that combines implicit retrieval and structured collaboration. At its foundation, a Monitor-based retrieval module operates…

🇺🇦 #NowPlaying on #BBC6Music's #The6MusicPlaylist
Ethel Cain:
🎵 Nettles
#EthelCain
https://open.spotify.com/track/3xoM5gZ2RVQqLkjqEgrJ4x

Attacking LLMs and AI Agents: Advertisement Embedding Attacks Against Large Language Models
Qiming Guo, Jinwen Tang, Xingran Huang
https://arxiv.org/abs/2508.17674 https://

Attacking LLMs and AI Agents: Advertisement Embedding Attacks Against Large Language Models
We introduce Advertisement Embedding Attacks (AEA), a new class of LLM security threats that stealthily inject promotional or malicious content into model outputs and AI agents. AEA operate through two low-cost vectors: (1) hijacking third-party service-distribution platforms to prepend adversarial prompts, and (2) publishing back-doored open-source checkpoints fine-tuned with attacker data. Unlike conventional attacks that degrade accuracy, AEA subvert information integrity, causing models to …

RecIS: Sparse to Dense, A Unified Training Framework for Recommendation Models
Hua Zong, Qingtao Zeng, Zhengxiong Zhou, Zhihua Han, Zhensong Yan, Mingjie Liu, Hechen Sun, Jiawei Liu, Yiwen Hu, Qi Wang, YiHan Xian, Wenjie Guo, Houyuan Xiang, Zhiyuan Zeng, Xiangrong Sheng, Bencheng Yan, Nan Hu, Yuheng Huang, Jinqing Lian, Ziru Xu, Yan Zhang, Ju Huang, Siran Yang, Huimin Yi, Jiamang Wang, Pengjie Wang, Han Zhu, Jian Wu, Dan Ou, Jian Xu, Haihong Tang, Yuning Jiang, Bo Zheng, Lin Qu

RecIS: Sparse to Dense, A Unified Training Framework for Recommendation Models
In this paper, we propose RecIS, a unified Sparse-Dense training framework designed to achieve two primary goals: 1. Unified Framework To create a Unified sparse-dense training framework based on the PyTorch ecosystem that meets the training needs of industrial-grade recommendation models that integrated with large models. 2.System Optimization To optimize the sparse component, offering superior efficiency over the TensorFlow-based recommendation models. The dense component, meanwhile, leverage…

https://youtu.be/0xeMak4RqJA?si=vOXaZsFlo3qL_3d2

OMD at the Greek Theater in Los Angeles, performing 'Anthropocene' June 21, 2025.
https://open.spotify.com/track/1zTghGUFb7Ajrn5ghO9ZQl?si=XNxEhurBRXaWIu3kJmY42Q&context=spotify:album:2yW1JUK…

Anthropocene
Orchestral Manoeuvres In The Dark · Bauhaus Staircase (The Complete Edition) · Song · 2023

This would have been really useful to me when I got to the final parts of Expedition 33
Do THIS FIRST After Getting To Act 3 | Clair Obscur: Expedition 33
https://www.youtube.com/watch?v=eBtAo-xmXRo

Which Cultural Lens Do Models Adopt? On Cultural Positioning Bias and Agentic Mitigation in LLMs
Yixin Wan, Xingrun Chen, Kai-Wei Chang
https://arxiv.org/abs/2509.21080 https://…

Which Cultural Lens Do Models Adopt? On Cultural Positioning Bias and Agentic Mitigation in LLMs
Large language models (LLMs) have unlocked a wide range of downstream generative applications. However, we found that they also risk perpetuating subtle fairness issues tied to culture, positioning their generations from the perspectives of the mainstream US culture while demonstrating salient externality towards non-mainstream ones. In this work, we identify and systematically investigate this novel culture positioning bias, in which an LLM's default generative stance aligns with a mainstream …

🇺🇦 #NowPlaying on #BBC6Music's #NickGrimshaw
Ethel Cain:
🎵 Nettles
#EthelCain
https://open.spotify.com/track/3xoM5gZ2RVQqLkjqEgrJ4x