arXiv:2609.24090v1 Announce Type: new
Abstract: Long-horizon autonomous intelligent systems rely on heterogeneous components such as large language models, databases, external APIs, and rule engines,...
By Cheng Li, Jiexiong Liu, Yixuan Chen, Ziheng Huang
arXiv:2609.24101v1 Announce Type: new
Abstract: Automated biomedical evidence synthesis depends on retrieving published studies, but the biomedical literature is systematically skewed toward positive...
By Fred Sun, Shangqi Guo
arXiv:2609.24744v1 Announce Type: new
Abstract: Language agents solve complex tasks through plans and actions. A single step the world refuses puts the goal out of reach, and what the agent does next...
By Sungheon Jeong, Sanggeon Yun, Ryozo Masukawa, Haleh Alimohamadi, Mahdi Imani, Mohsen Imani
arXiv:2609.24838v1 Announce Type: new
Abstract: Medical agents increasingly combine general reasoning models with specialized clinical tools, yet their capabilities remain largely fixed by what clini...
By Junde Wu, Jiayuan Zhu, Minghao Hu, Fenglin Liu, Jiazhen Pan
arXiv:2609.22476v1 Announce Type: cross
Abstract: Transmission system operators face rising complexity from renewable integration, reduced inertia, and tighter security margins. Large language models...
By Costas Mylonas, Magda Foti, Emmanouel Varvarigos
arXiv:2609.22601v1 Announce Type: cross
Abstract: The increasing reliance of autonomous AI agents on external and distributed knowledge sources introduces a fundamental challenge for decentralized in...
By Yixiang Yao, Pasha Barahimi, Srivatsan Ravi
arXiv:2609.24801v1 Announce Type: cross
Abstract: Large language models (LLMs) are increasingly deployed in production systems, raising concerns about their exposure to adversarial manipulation throu...
By Fernando Outeda, Gustavo Betarte, Juan Diego Campo, Fiorella Cravero
arXiv:2312.06632v2 Announce Type: replace
Abstract: Artificial intelligence is rapidly advancing scientific discovery, but this progress carries risks of misuse, such as the creation of harmful subst...
By Jiyan He, Haoxiang Guan, Weitao Feng, Yaosen Min, Jingwei Yi, Kunsheng Tang, Shuai Li, Jie Zhang, Kejiang Chen, Wenbo Zhou, Xing Xie, Weiming Zhang, Nenghai Yu, Shuxin Zheng
arXiv:2609.12708v2 Announce Type: replace-cross
Abstract: AI coding assistants are becoming co-authors of production software, yet their evaluation centers on functional correctness, leaving open whe...
By Cristina Improta, Pietro Liguori, Domenico Cotroneo
arXiv:2609.15387v3 Announce Type: replace-cross
Abstract: Human evaluation provides a direct measure of the quality of LLM-generated web applications. However, fitting human judgments through automat...
By Chenxu Liu, Zilu Zou, Peizhong Gao, Jiawen Tao, Zhexin Zhang, Guang Chen, Haowei Lin, Ying Zhou, Tianyi Bai, Dolly Deng, Suncong Zheng, Maxm Pan
arXiv:2609.25082v1 Announce Type: new
Abstract: Quantum machine learning (QML) is increasingly recognized as one of the most promising near-term applications of quantum computing, viewed as a next-fr...
By Carlos Cano, Daniel M. Jimenez-Gutierrez, Diego Sal, Georgios Kellaris, Joaquin del Rio, Oleksii Sliusarenko, Xabi Uribe-Etxebarria
arXiv:2609.25602v1 Announce Type: new
Abstract: In language models, the choice between believing the prompt and believing the weights is made by a handful of identifiable attention heads. Instruction...
By Shubham Santosh Pandere, Gautam Ranka, Ritika Varshney, Navya Deshmukh, Roushni Sareen, Roshan Kumar Singh
arXiv:2609.25701v1 Announce Type: new
Abstract: We study distributed Byzantine-resilient actor-critic multi-agent reinforcement learning (AC-MARL), where agents collectively learn policies through lo...
By Haejoon Lee, Dimitra Panagou
arXiv:2609.25811v1 Announce Type: new
Abstract: Multi-view clustering (MVC) aims to uncover latent cluster structures by exploiting complementary information from multiple views. Despite substantial...
By Mudi Jiang, Jiahui Zhou, Xinying Liu, Zengyou He, Zhikui Chen
arXiv:2609.25962v1 Announce Type: new
Abstract: Neural network verification has become a key tool for providing formal guarantees on the behaviour of neural networks. However, many verification probl...
By Annelot Bosman, Minghao Liu, Marta Kwiatkowska, Holger Hoos, Jan van Rijn
arXiv:2609.25987v1 Announce Type: new
Abstract: Equivariant convolutional neural networks are usually built from a group acting globally on the space of signals. This hypothesis is inappropriate for...
By Alberto Ibort, Maria Jimenez-Vazquez, Juan M. Perez-Pardo
arXiv:2609.26094v1 Announce Type: new
Abstract: Multi-step causal reasoning requires chaining inferences where each step constrains the next. An early error propagates silently, and a correct answer...
By Jian Zhang, Bingyi Wang, Yizhi Liu
arXiv:2609.26384v1 Announce Type: new
Abstract: Medical image interpretation is high-volume and time-consuming, and while AI interpretation can reduce workload, fully autonomous deployment carries po...
By Emma Sun, Joshua Strong, Alison Noble
arXiv:2609.25088v1 Announce Type: cross
Abstract: Survival prediction for glioblastoma multiforme (GBM) demands models that are both accurate and interpretable, yet existing approaches treat these ob...
By Mushahid Intesum
arXiv:2609.25558v1 Announce Type: cross
Abstract: Vision-language-action policies benefit from geometric supervision, but current-frame geometry alone does not explicitly describe the changes associa...
By Jinu Pahk, Jesoon Kang, Taegeon Park, Jisu An, Soo Min Kimm, Jaejoon Kim, Byoung-Tak Zhang