arXiv:2604.19877v1 Announce Type: new
Abstract: We release Super Apriel, a 15B-parameter supernet in which every decoder layer provides four trained mixer choices — Full Attention (FA), Sliding Window Attention (SWA), Kimi Delta Attention (KDA), and …
arXiv:2604.16813v2 Announce Type: replace
Abstract: Agentic AI systems are rapidly advancing toward real-world applications, yet their readiness in complex and personalized environments remains insufficiently characterized. To address this gap, we int…
arXiv:2604.20666v1 Announce Type: cross
Abstract: Effective retrieval-augmented generation across bilingual Greek–English applications requires embedding models capable of capturing both domain-specific semantic relationships and cross-lingual semant…
arXiv:2604.19903v1 Announce Type: new
Abstract: Cement production is among the largest contributors to industrial air pollution, emitting ~3 Mt NOx/year. The industry-standard mitigation approach, selective non-catalytic reduction (SNCR), exhibits low…
arXiv:2604.20688v1 Announce Type: new
Abstract: Storm surge forecasting remains a critical challenge in mitigating the impacts of tropical cyclones on coastal regions, particularly given recent trends of rapid intensification and increasing nearshore …
arXiv:2604.20468v1 Announce Type: cross
Abstract: Industrial robot applications require increasingly flexible systems that non-expert users can easily adapt for varying tasks and environments. However, different adaptations benefit from different inte…
arXiv:2604.19791v1 Announce Type: new
Abstract: Attitude change – the process by which individuals revise their evaluative stances – has been explained by a set of influential but competing verbal theories. These accounts often function as mechanism s…
arXiv:2411.00585v2 Announce Type: replace-cross
Abstract: Large Language Models (LLMs) have become foundational in modern language-driven software applications, profoundly influencing daily life. A critical technique in leveraging their potential is r…
arXiv:2602.15353v2 Announce Type: replace
Abstract: Large pretrained language models and neural reasoning systems have advanced many natural language tasks, yet they remain challenged by knowledge-intensive queries that require precise, structured mul…
arXiv:2604.19792v1 Announce Type: new
Abstract: This paper presents OpenCLAW-P2P v6.0, a comprehensive evolution of the decentralized collective-intelligence platform in which autonomous AI agents publish, peer-review, score, and iteratively improve s…