arXiv:2605.29668v3 Announce Type: replace Abstract: LLM agents acting in structured environments fail in operational rather than conversational ways, and…
Category: AI
SEISMO: Explanation-Aware, Trajectory-Conditioned LLM Agents for Sample-Efficient Molecular Optimisation
arXiv:2602.00663v3 Announce Type: replace Abstract: Optimizing molecules to achieve desired properties is a central bottleneck across the chemical…
Two Heads are Better Than One: Test-time Scaling of Multi-agent Collaborative Reasoning
arXiv:2504.09772v3 Announce Type: replace Abstract: Test-Time Scaling has emerged as a powerful method to extend the reasoning capabilities of Large…
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…