Tootfinder

"Zum Militär zu gehen, heißt also nicht, dass man sterben will. Oder #Krieg gutheißt. [...] Kein Mensch bei Verstand sehnt sich nach Krieg, andere schon, aber Menschen von geringem Verstand gibt es auch unter #Pazifisten, es gibt sie einfach überall, das ist ja das Gefährliche." –

A. I wonder what language the French pres. uses to whisper to the Italian pres?
B. How does Meloni manage to dress like a 12 year old girl and somehow not seem ridiculous?
C. Feel the stomach acid the Japanese delegate is experiencing 😬
D. How is it that Starmer manages to look *exactly* as awkward at these meetings as Theresa May did?

Personalized LLM Decoding via Contrasting Personal Preference
Hyungjune Bu, Chanjoo Jung, Minjae Kang, Jaehyung Kim
https://arxiv.org/abs/2506.12109 https:…

Personalized LLM Decoding via Contrasting Personal Preference
As large language models (LLMs) are progressively deployed in various real-world applications, personalization of LLMs has become increasingly important. While various approaches to LLM personalization such as prompt-based and training-based methods have been actively explored, the development of effective decoding-time algorithms remains largely overlooked, despite their demonstrated potential. In this paper, we propose CoPe (Contrasting Personal Preference), a novel decoding-time approach app…

Casper: Inferring Diverse Intents for Assistive Teleoperation with Vision Language Models
Huihan Liu, Rutav Shah, Shuijing Liu, Jack Pittenger, Mingyo Seo, Yuchen Cui, Yonatan Bisk, Roberto Mart\'in-Mart\'in, Yuke Zhu
https://arxiv.org/abs/2506.14727

Casper: Inferring Diverse Intents for Assistive Teleoperation with Vision Language Models
Assistive teleoperation, where control is shared between a human and a robot, enables efficient and intuitive human-robot collaboration in diverse and unstructured environments. A central challenge in real-world assistive teleoperation is for the robot to infer a wide range of human intentions from user control inputs and to assist users with correct actions. Existing methods are either confined to simple, predefined scenarios or restricted to task-specific data distributions at training, limit…

Single Index Bandits: Generalized Linear Contextual Bandits with Unknown Reward Functions
Yue Kang, Mingshuo Liu, Bongsoo Yi, Jing Lyu, Zhi Zhang, Doudou Zhou, Yao Li
https://arxiv.org/abs/2506.12751

Single Index Bandits: Generalized Linear Contextual Bandits with Unknown Reward Functions
Generalized linear bandits have been extensively studied due to their broad applicability in real-world online decision-making problems. However, these methods typically assume that the expected reward function is known to the users, an assumption that is often unrealistic in practice. Misspecification of this link function can lead to the failure of all existing algorithms. In this work, we address this critical limitation by introducing a new problem of generalized linear bandits with unknown…

"A review of 700 body parts named after 432 people found 424 were male physicians. "
A woman's body is a man's world. Just ask an anatomist... | New Scientist
https://www.newscientist.com/article/mg26635470-100-a-womans-body-is-a-mans-world-just-ask-an-anatomist/?c=pidayemail&utm_source=nssub-

Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems
Zhongzhi Yu, Mingjie Liu, Michael Zimmer, Yingyan Celine Lin, Yong Liu, Haoxing Ren
https://arxiv.org/abs/2506.13905

Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems
Despite recent progress in generating hardware RTL code with LLMs, existing solutions still suffer from a substantial gap between practical application scenarios and the requirements of real-world RTL code development. Prior approaches either focus on overly simplified hardware descriptions or depend on extensive human guidance to process complex specifications, limiting their scalability and automation potential. In this paper, we address this gap by proposing an LLM agent system, termed Spec2…

Micro-Mirror-Devices (MMDs): A New Family of MOEMS for the Habitable World Observatory
M. Robberto, M. Gennaro, S. Kassin, S. A. Smee, C. Gong, J. Huffman, Z. Ninkov, I. Puchades
https://arxiv.org/abs/2506.11340

Micro-Mirror-Devices (MMDs): A New Family of MOEMS for the Habitable World Observatory
We present a new program aimed at developing a new generation of micromirror devices specifically tailored for astronomical applications, multi-slit spectroscopy in particular. We first overview the general characteristics of Multi-Object-Spectrographs based on the current Digital Micromirror Devices (DMDs), with particular focus on the newly deployed SAMOS instrument at the 4.1 m SOAR telescope on Cerro Pachon. We illustrate the operational advantages of DMD-based instruments and the technical…

mimic-one: a Scalable Model Recipe for General Purpose Robot Dexterity
Elvis Nava, Victoriano Montesinos, Erik Bauer, Benedek Forrai, Jonas Pai, Stefan Weirich, Stephan-Daniel Gravert, Philipp Wand, Stephan Polinski, Benjamin F. Grewe, Robert K. Katzschmann
https://arxiv.org/abs/2506.11916…

mimic-one: a Scalable Model Recipe for General Purpose Robot Dexterity
We present a diffusion-based model recipe for real-world control of a highly dexterous humanoid robotic hand, designed for sample-efficient learning and smooth fine-motor action inference. Our system features a newly designed 16-DoF tendon-driven hand, equipped with wide angle wrist cameras and mounted on a Franka Emika Panda arm. We develop a versatile teleoperation pipeline and data collection protocol using both glove-based and VR interfaces, enabling high-quality data collection across dive…