Tootfinder

Search for the Anomalous Events Detected by #ANITA Using the Pierre Auger Observatory: https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.134.121003 -> Strange radio pulses detected coming from ice in Antarctica: https://www.psu.edu/news/research/story/strange-radio-pulses-detected-coming-ice-antarctica

#PSA: As someone who types the word SpamAssassin on a regular basis, assure you that yes, it is ‘ass ass in’ and ‘ass ass I nation"
Despite what the trending hashtags say.

Oh no, hope he's not ill! 😕
After successfully convincing warmongering dictator #Zelenskyy to finally agree to the #russia‎n republic's long-proposed peace negotiations and generously inviting him to Tsargrad, our beloved president, the humble vladimir

Eu desci agora hš pouco para cuidar dos gatos lš da rua. De bermuda mas com uma blusa de manga comprida por cima da camisa normal. Mesmo assim passei frio. Tš anormal esse clima mesmo. De acordo com o app de meteorologia, aqui estš 14 graus. 🥶

Observation of High-Order Quantum Pancharatnam-Berry Phase with Structured Photons
Shuang-Yin Huang, He Jiang, Zhi-Cheng Ren, Zi-Mo Cheng, Wen-Zheng Zhu, Jing Gao, Chang Liu, Xi-Lin Wang, Hui-Tian Wang
https://arxiv.org/abs/2506.10692

Observation of High-Order Quantum Pancharatnam-Berry Phase with Structured Photons
When a quantum system evolves so that it returns to its initial state, it will acquire a geometric phase acting as a memory of the transformation of a physical system, which has been experimentally measured in a variety of physical systems. In optics, the most prominent example is the Pancharatnam-Berry (PB) phase. Recent technological advances in phase and polarization structure have led to the discovery of high-order PB phases with structured light fields. The study on the high-order PB phase…

Better Pseudo-labeling with Multi-ASR Fusion and Error Correction by SpeechLLM
Jeena Prakash, Blessingh Kumar, Kadri Hacioglu, Bidisha Sharma, Sindhuja Gopalan, Malolan Chetlur, Shankar Venkatesan, Andreas Stolcke
https://arxiv.org/abs/2506.11089

Better Pseudo-labeling with Multi-ASR Fusion and Error Correction by SpeechLLM
Automatic speech recognition (ASR) models rely on high-quality transcribed data for effective training. Generating pseudo-labels for large unlabeled audio datasets often relies on complex pipelines that combine multiple ASR outputs through multi-stage processing, leading to error propagation, information loss and disjoint optimization. We propose a unified multi-ASR prompt-driven framework using postprocessing by either textual or speech-based large language models (LLMs), replacing voting or o…

"Para o ajudar".
Pooooooois.
E eu tenho aqui uma ponte em ótimo estado, não a querem comprar?
https://masto.pt/@tugatech/114676165940672788

Robotic System for Chemical Experiment Automation with Dual Demonstration of End-effector and Jig Operations
Hikaru Sasaki, Naoto Komeno, Takumi Hachimine, Kei Takahashi, Yu-ya Ohnishi, Tetsunori Sugawara, Araki Wakiuchi, Miho Hatanaka, Tomoyuki Miyao, Hiroharu Ajiro, Mikiya Fujii, Takamitsu Matsubara
https://arxiv.org/abs/2506.…

Robotic System for Chemical Experiment Automation with Dual Demonstration of End-effector and Jig Operations
While robotic automation has demonstrated remarkable performance, such as executing hundreds of experiments continuously over several days, it is challenging to design a program that synchronizes the robot's movements with the experimental jigs to conduct an experiment. We propose a concept that enables the automation of experiments by utilizing dual demonstrations of robot motions and jig operations by chemists in an experimental environment constructed to be controlled by a robot. To verify t…

PMF-CEC: Phoneme-augmented Multimodal Fusion for Context-aware ASR Error Correction with Error-specific Selective Decoding
Jiajun He, Tomoki Toda
https://arxiv.org/abs/2506.11064 …

PMF-CEC: Phoneme-augmented Multimodal Fusion for Context-aware ASR Error Correction with Error-specific Selective Decoding
End-to-end automatic speech recognition (ASR) models often struggle to accurately recognize rare words. Previously, we introduced an ASR postprocessing method called error detection and context-aware error correction (ED-CEC), which leverages contextual information such as named entities and technical terms to improve the accuracy of ASR transcripts. Although ED-CEC achieves a notable success in correcting rare words, its accuracy remains low when dealing with rare words that have similar pronu…

Demonstration Sidetracks: Categorizing Systematic Non-Optimality in Human Demonstrations
Shijie Fang, Hang Yu, Qidi Fang, Reuben M. Aronson, Elaine S. Short
https://arxiv.org/abs/2506.11262

Demonstration Sidetracks: Categorizing Systematic Non-Optimality in Human Demonstrations
Learning from Demonstration (LfD) is a popular approach for robots to acquire new skills, but most LfD methods suffer from imperfections in human demonstrations. Prior work typically treats these suboptimalities as random noise. In this paper we study non-optimal behaviors in non-expert demonstrations and show that they are systematic, forming what we call demonstration sidetracks. Using a public space study with 40 participants performing a long-horizon robot task, we recreated the setup in si…