arXiv:2504.09772v3 Announce Type: replace Abstract: Test-Time Scaling has emerged as a powerful method to extend the reasoning capabilities of Large…
Category: AI
ACQ: A Deployed Two-Stage Framework for Automated Creative Quota Allocation in Large-Scale Online Advertising
arXiv:2412.06167v2 Announce Type: replace Abstract: In digital advertising, demand-side platforms (DSPs) allow advertisers to create multiple ad creatives…
Recognizing Artificial Minds: A Philosophical Defense of AI Cognition
arXiv:2504.13988v2 Announce Type: replace Abstract: This work defends the ‘Whole Hog Thesis’: sophisticated Large Language Models (LLMs) like ChatGPT are…
SCX.ai Partners With DDN to Scale Australia’s Sovereign AI Inference Cloud
Australian sovereign AI infrastructure company SCX.ai and data intelligence vendor DDN announced a partnership on August 24, 2026, to expand what the…
Online design of dynamic networks
arXiv:2410.08875v3 Announce Type: replace Abstract: Designing a network (e.g., a telecommunication or transport network) is mainly done offline, in a…
Re$^3$Cap: Retrieval-Guided Refinement for Image Captioning Enhancement via Reinforcement Learning
arXiv:2608.21305v1 Announce Type: cross Abstract: Reinforcement Learning (RL) has demonstrated significant gains in image captioning, yet it is still…
TurboBias 2.0: Streaming Context-Biasing for Production-Efficient ASR Systems
arXiv:2608.21343v1 Announce Type: cross Abstract: Contextualization is essential for production automatic speech recognition (ASR) systems, where…
EnSI-RAG: Entity-Structure-Indexed Retrieval-Augmented Generation for Long-Document Question Answering
arXiv:2608.21252v1 Announce Type: cross Abstract: Question answering (QA) over long, connected documents remains challenging because relevant evidence may…
AI with Authority, from Application to Silicon
arXiv:2608.21356v1 Announce Type: cross Abstract: For sixty years, machine verification has been a major cost overhead, affordable only for exceptional…
Primal Acceleration of Newton’s Method
arXiv:2608.21359v1 Announce Type: cross Abstract: We develop a new direct accelerated Newton method for minimizing convex functions with Lipschitz…