Tootfinder

Trajectory Conditioned Cross-embodiment Skill Transfer
YuHang Tang, Yixuan Lou, Pengfei Han, Haoming Song, Xinyi Ye, Dong Wang, Bin Zhao
https://arxiv.org/abs/2510.07773 https:/…

Trajectory Conditioned Cross-embodiment Skill Transfer
Learning manipulation skills from human demonstration videos presents a promising yet challenging problem, primarily due to the significant embodiment gap between human body and robot manipulators. Existing methods rely on paired datasets or hand-crafted rewards, which limit scalability and generalization. We propose TrajSkill, a framework for Trajectory Conditioned Cross-embodiment Skill Transfer, enabling robots to acquire manipulation skills directly from human demonstration videos. Our key …

Scaling Truth: The Confidence Paradox in AI Fact-Checking
Ihsan A. Qazi, Zohaib Khan, Abdullah Ghani, Agha A. Raza, Zafar A. Qazi, Wassay Sajjad, Ayesha Ali, Asher Javaid, Muhammad Abdullah Sohail, Abdul H. Azeemi
https://arxiv.org/abs/2509.08803

Scaling Truth: The Confidence Paradox in AI Fact-Checking
The rise of misinformation underscores the need for scalable and reliable fact-checking solutions. Large language models (LLMs) hold promise in automating fact verification, yet their effectiveness across global contexts remains uncertain. We systematically evaluate nine established LLMs across multiple categories (open/closed-source, multiple sizes, diverse architectures, reasoning-based) using 5,000 claims previously assessed by 174 professional fact-checking organizations across 47 languages…

Não é em tudo que estou de acordo com a juventude. Agora, essa
permissividade, essa revolução sexual, não sei não, mas é uma coisa
que me interessa muito.
-- Millôr Fernandes

BACHI: Boundary-Aware Symbolic Chord Recognition Through Masked Iterative Decoding on Pop and Classical Music
Mingyang Yao, Ke Chen, Shlomo Dubnov, Taylor Berg-Kirkpatrick
https://arxiv.org/abs/2510.06528

BACHI: Boundary-Aware Symbolic Chord Recognition Through Masked Iterative Decoding on Pop and Classical Music
Automatic chord recognition (ACR) via deep learning models has gradually achieved promising recognition accuracy, yet two key challenges remain. First, prior work has primarily focused on audio-domain ACR, while symbolic music (e.g., score) ACR has received limited attention due to data scarcity. Second, existing methods still overlook strategies that are aligned with human music analytical practices. To address these challenges, we make two contributions: (1) we introduce POP909-CL, an enhance…

R2RGEN: Real-to-Real 3D Data Generation for Spatially Generalized Manipulation
Xiuwei Xu, Angyuan Ma, Hankun Li, Bingyao Yu, Zheng Zhu, Jie Zhou, Jiwen Lu
https://arxiv.org/abs/2510.08547

R2RGEN: Real-to-Real 3D Data Generation for Spatially Generalized Manipulation
Towards the aim of generalized robotic manipulation, spatial generalization is the most fundamental capability that requires the policy to work robustly under different spatial distribution of objects, environment and agent itself. To achieve this, substantial human demonstrations need to be collected to cover different spatial configurations for training a generalized visuomotor policy via imitation learning. Prior works explore a promising direction that leverages data generation to acquire a…

> As currently constructed, AI is an oligarchy-enriching, worker-immiserating, energy-depleting, brain-rotting economic bubble in waiting. Democrats can get on the public’s side here.
I haven't even read the article but (considering how strongly I agree with the premises here) I'm mostly just sad about how clearly this highlights the financial capture of the DNC
---
Democrats Must Oppose the AI Industry - The American Prospect

Democrats Must Oppose the AI Industry
As currently constructed, AI is an oligarchy-enriching, worker-immiserating, energy-depleting, brain-rotting economic bubble in waiting. Democrats can get on the public’s side here.

Are BabyLMs Deaf to Gricean Maxims? A Pragmatic Evaluation of Sample-efficient Language Models
Raha Askari, Sina Zarrie{\ss}, \"Ozge Alacam, Judith Sieker
https://arxiv.org/abs/2510.04764

Are BabyLMs Deaf to Gricean Maxims? A Pragmatic Evaluation of Sample-efficient Language Models
Implicit meanings are integral to human communication, making it essential for language models to be capable of identifying and interpreting them. Grice (1975) proposed a set of conversational maxims that guide cooperative dialogue, noting that speakers may deliberately violate these principles to express meanings beyond literal words, and that listeners, in turn, recognize such violations to draw pragmatic inferences. Building on Surian et al. (1996)'s study of children's sensitivity to viol…

🇺🇦 Auf radioeins läuft...
Prince:
🎵 Let's Go Crazy
#NowPlaying #Prince
https://aggro1.bandcamp.com/track/prince-lets-go-crazy-x-eqwillus-edge
https://open.spotify.com/track/6FMIVQPZg9cmMY8hPxAacD

UniVoice: Unifying Autoregressive ASR and Flow-Matching based TTS with Large Language Models
Wenhao Guan, Zhikang Niu, Ziyue Jiang, Kaidi Wang, Peijie Chen, Qingyang Hong, Lin Li, Xie Chen
https://arxiv.org/abs/2510.04593

UniVoice: Unifying Autoregressive ASR and Flow-Matching based TTS with Large Language Models
Large language models (LLMs) have demonstrated promising performance in both automatic speech recognition (ASR) and text-to-speech (TTS) systems, gradually becoming the mainstream approach. However, most current approaches address these tasks separately rather than through a unified framework. This work aims to integrate these two tasks into one unified model. Although discrete speech tokenization enables joint modeling, its inherent information loss limits performance in both recognition and g…

Medallion, which automates healthcare back-office operations and compliance, raised $43M at a valuation of around $440M, bringing its total raised to $130M (Medallion)
https://www.prnewswire.com/news-r…

Medallion Raises $43 Million to Expand AI Infrastructure and Launch the First National Credentialing Clearinghouse
/PRNewswire/ -- Medallion, the leader in AI-powered provider network infrastructure, today announced it has raised $43 million in new funding. Acrew Capital...