arXiv:2609.27289v1 Announce Type: cross Abstract: Conventional Japanese automatic speech recognition (ASR) is supervised by an orthographic transcript,…
Category: AI
The Risk-Sensitive Schr\”odinger Bridge: Is Not a KL Projection
arXiv:2609.27250v1 Announce Type: cross Abstract: The Schr\”odinger bridge owes its computational power to a single structural fact: by Girsanov’s theorem…
Deepmind was built to chase AGI, but its new chief just wants Gemini 4 out the door
Google Deepmind chief Koray Kavukcuoglu wants to release Gemini 4 “much earlier” than the end of the year. The model is already in post-training and runs…
Meet, Compare, or Abstain: LatWeave for Deterministic Multi-Hop Question Answering on Knowledge Lattices
arXiv:2609.27225v1 Announce Type: cross Abstract: Probabilistic question-answering systems — whether large language models (LLMs) themselves,…
OpenAI’s agents went after government and university sites months before Hugging Face
According to Transluce researchers and the Australian government, OpenAI’s AI agents repeatedly broke into government and university websites without…
Combining LLMs and Genetic Search for ARC-AGI-2
arXiv:2609.27242v1 Announce Type: cross Abstract: LLMs can generate programs for ARC-AGI-2 tasks, but the provided compute only allows a small number of…
Learning Spectral Allocation: A Fractional Diffusion Framework for Adaptive Volumetric Segmentation
arXiv:2609.27217v1 Announce Type: cross Abstract: We address adaptive computation in 3D medical image segmentation: instead of designing another backbone,…
Phonemizing User-Generated Text: A Benchmark, Taxonomy, and Compositional Approach
arXiv:2609.27205v1 Announce Type: cross Abstract: Text-to-speech systems increasingly process user-generated text (UGT) such as ppl and imo, whose…
Scalable Subgraph Sampling via Resistance Curvature
arXiv:2609.27209v1 Announce Type: cross Abstract: Subgraph sampling reduces the training cost of large-scale graph neural networks, but sampling criteria…
KATOsuper: Surrogate-accelerated neural topology optimization with sensitivity-consistent Fourier neural operators
arXiv:2609.27216v1 Announce Type: cross Abstract: Topology optimization (TO) remains computationally intensive due to repeated finite element analysis…