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…
Tag: AI
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…
Meta gives its Muse AI agent video avatars, email addresses, and Mac control
At Meta Connect 2026, Meta expanded its AI agent, Muse, and unveiled several new devices. The article Meta gives its Muse AI agent video avatars, email…
Self-Evolving Multimedia Verification through Memory Consolidation of Contestation Experiences
arXiv:2609.27175v1 Announce Type: cross Abstract: Multimedia verification requires not only accurate decisions but also traceable evidence, reliable human…
Count Evidence, Not Sentences: Tempered Evidence Fusion of LLM Judgments for Long-Text Value Measurement
arXiv:2609.27165v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly used to measure public value orientations from long social…
When Clients Are Orchestrated: Strategic Gradient Manipulation to Defeat Federated Learning Servers with Efficient Defense
arXiv:2609.27124v1 Announce Type: cross Abstract: Federated Learning enables decentralized model training by exchanging model updates–rather than raw…
The Like Trap: Multi-Stage Poisoning against Agents in Similarity-based Recommendation Systems
arXiv:2609.27155v1 Announce Type: cross Abstract: With recent advancements in large language models (LLMs) and LLM-based agents, these agents are becoming…