Tootfinder

Talkin’ Cowboys: The Herbert Report https://www.dallascowboys.com/podcast/talkin-cowboys-the-herbert-report

EmboMatrix: A Scalable Training-Ground for Embodied Decision-Making
Zixing Lei, Sheng Yin, Yichen Xiong, Yuanzhuo Ding, Wenhao Huang, Yuxi Wei, Qingyao Xu, Yiming Li, Weixin Li, Yunhong Wang, Siheng Chen
https://arxiv.org/abs/2510.12072

EmboMatrix: A Scalable Training-Ground for Embodied Decision-Making
Embodied decision-making enables agents to translate high-level goals into executable actions through continuous interactions within the physical world, forming a cornerstone of general-purpose embodied intelligence. Large language models (LLMs), with their general decision-making capabilities, offer a promising path to realize this potential; however, LLMs trained solely on language lack exposure to physical environments, limiting their true embodied understanding. To bridge this gap, we propo…

I have hiccups, deep joy, and I'm yawning so my eyes are watering and making me sniffly. I am a hot mess.

My dog, Stanley is pretty smart.
He has "speech" buttons that he can press to "say" words (it plays an audio recording of a word like “outside" or "water”).
He'll press the "food" button before we'll feed him dinner, and he presses "outside" most mornings as apart of his routine.
But he has absolutely no idea what these buttons are actually *saying*. He just knows that he gets food when he presses that one. He's …

Data or Language Supervision: What Makes CLIP Better than DINO?
Yiming Liu, Yuhui Zhang, Dhruba Ghosh, Ludwig Schmidt, Serena Yeung-Levy
https://arxiv.org/abs/2510.11835 https:/…

Data or Language Supervision: What Makes CLIP Better than DINO?
CLIP outperforms self-supervised models like DINO as vision encoders for vision-language models (VLMs), but it remains unclear whether this advantage stems from CLIP's language supervision or its much larger training data. To disentangle these factors, we pre-train CLIP and DINO under controlled settings -- using the same architecture, dataset, and training configuration -- achieving similar ImageNet accuracy. Embedding analysis shows that CLIP captures high-level semantics (e.g., object catego…

Saw the latest #Superman, and it was a yawning void of empty, vacuous calories.
Just a fantasy for babies, with absolutely nothing to say that a reasonable person could relate to. Like, what is the exact opposite of visceral?
#ThereISaidIt

Replaced article(s) found for cs.PL. https://arxiv.org/list/cs.PL/new
[1/1]:
- Incremental Computation: What Is the Essence?
Yanhong A. Liu
https://

FlexPipe: Adapting Dynamic LLM Serving Through Inflight Pipeline Refactoring in Fragmented Serverless Clusters
Yanying Lin, Shijie Peng, Chengzhi Lu, Chengzhong Xu, Kejiang Ye
https://arxiv.org/abs/2510.11938

FlexPipe: Adapting Dynamic LLM Serving Through Inflight Pipeline Refactoring in Fragmented Serverless Clusters
Serving Large Language Models (LLMs) in production faces significant challenges from highly variable request patterns and severe resource fragmentation in serverless clusters. Current systems rely on static pipeline configurations that struggle to adapt to dynamic workload conditions, leading to substantial inefficiencies. We present FlexPipe, a novel system that dynamically reconfigures pipeline architectures during runtime to address these fundamental limitations. FlexPipe decomposes models i…

Large Language Model Prompt Datasets: An In-depth Analysis and Insights
Yuanming Zhang, Yan Lin, Arijit Khan, Huaiyu Wan
https://arxiv.org/abs/2510.09316 https://

Large Language Model Prompt Datasets: An In-depth Analysis and Insights
A prompt is a natural language instruction that defines a specific task for a large language model (LLM) and serves as the primary interface for human-LLM interaction. With the growing deployment of LLMs, diverse prompt datasets are emerging from platforms such as GitHub and social media. These datasets span a wide array of applications and content types, facilitating both broader LLM utilization and improved prompt engineering. In this work, we--for the first time--have compiled an extensive l…

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[15/17]:
- A Large-Language-Model Assisted Automated Scale Bar Detection and Extraction Framework for Scanni...
Yuxuan Chen, Ruotong Yang, Zhengyang Zhang, Mehreen Ahmed, Yanming Wang