arXiv:2602.02518v3 Announce Type: replace-cross
Abstract: Large language models (LLMs) increasingly rely on external knowledge to improve factuality, yet many knowledge sources on the Web, such as sc...
By Yuyang Bai, Zhuofeng Li, Ping Nie, Jianwen Xie, Yu Wang, Yu Zhang
arXiv:2608.29204v2 Announce Type: replace-cross
Abstract: Coding agents now complete development tasks in real software projects and submit the results as pull requests. A pull request shows the outc...
By Jonan Richards, Kosei Horikawa, Youmei Fan, Yutaro Kashiwa, Mairieli Wessel
arXiv:2609.19705v3 Announce Type: replace-cross
Abstract: Large language model (LLM) agents already trade real capital, and builders copy a few published designs that share models and news feeds, so...
By Mengxiao Wang, Nitesh Saxena
arXiv:2609.31877v2 Announce Type: replace-cross
Abstract: Cloud-based Large language model (LLM) services create a network-level traffic side channel that can expose model, prompt, and task behavior...
By Shahrooz Pouryousef, Jesus Lopez, Saeefa Rubaiyet Nowmi, Md Mahmuduzzaman Kamol, Moinul Hossain, Muoi Tran, Mohammad Saidur Rahman
arXiv:2610.25113v3 Announce Type: replace-cross
Abstract: The explore-exploit trade-off is the core problem of reinforcement learning (RL). In its multi-agent, resource-sharing form the optimum is no...
By Galen J. Wilkerson
arXiv:2610.31704v1 Announce Type: new
Abstract: Non-Destructive Inspection (NDI) is a cornerstone of modern quality assurance, critical for ensuring the safety and reliability of infrastructure and m...
By Ashiqur Rahmana, Venkata Devesh Reddy Seethi, Zachary Kral, Austin Yunker, Rajkumar Kettimuthu, Hamed Alhoori
arXiv:2607.06957v2 Announce Type: replace-cross
Abstract: Realistic and diverse traffic simulation is essential to autonomous driving development. Yet prevailing benchmarks predominantly reward reali...
By Seulbin Hwang, Kiyoung Om, Dae Jung Kim, Jinhan Lee
arXiv:2610.33007v1 Announce Type: new
Abstract: Natural-language service intents in integrated terrestrial and non-terrestrial (TN/NTN) 6G networks can be incomplete, ambiguous, or inconsistent, maki...
By Wajdi Hammami, Irfan Azam, Soumaya Cherkaoui
arXiv:2610.33274v1 Announce Type: new
Abstract: Large language model (LLM) agents work in scenarios with very different memory needs. A question about past conversations needs the exact facts it name...
By Wujiang Xu, Jiaojiao Han, Xi Zhu, Qizheng Zhang, Kaiqu Liang, Yutong Yin, Kai Mei, Dimitris N. Metaxas
arXiv:2610.33799v1 Announce Type: new
Abstract: Multimodal large language models (MLLMs) have become strong visual reasoners, yet remain limited in open-world, multi-step search that requires groundi...
By Xiangyu Peng, Jiaxin Zhang, An Yan, Yu Li, Ran Xu, Zeyuan Chen, Chien-Sheng Wu
arXiv:2610.33899v1 Announce Type: new
Abstract: LLMs are increasingly being used by users from diverse demographics with pluralistic values and distinct backgrounds. Maintaining safety while respecti...
By Siqi Shen, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Rada Mihalcea
arXiv:2610.34809v1 Announce Type: new
Abstract: Language models now answer questions alongside other claims: a note in the system prompt, a message from another agent, their own earlier answer. We as...
By Xinyi Ni
arXiv:2610.35054v1 Announce Type: new
Abstract: Transportation agencies maintain extensive crash databases to identify safety priorities, evaluate countermeasures, and guide resource allocation. Maki...
By Jingwen Zhu, Keshu Wu, Steven T. Parker, Bin Ran, David A. Noyce
arXiv:2610.35616v1 Announce Type: new
Abstract: Skills provide agents with reusable experience to guide future decisions without modifying the underlying model. However, coding trajectories are often...
By Jun Gao, Yun Peng, Changhai Zhou, Yuhan Zhu, Xiangyu Zeng, Shiyang Zhang Yuhua Zhou, Luozheng Qin, Qian Qiao, Xiaoteng Ma, Baian Chen Weiyi Shang, Zhen Ming Jack Jiang, Lizhi Liao, Xiaoxue Ren
arXiv:2610.35793v1 Announce Type: new
Abstract: Deep research, or any use of large language models (LLMs) to read a large document collection and produce insights, requires synthesizing information f...
By Tiasa Singha Roy, Manya Wadhwa, Greg Durrett
arXiv:2610.33129v1 Announce Type: cross
Abstract: Before developers can use a software project, they must first get it to run. This often requires installing the right language runtime, system packag...
By Yuling Shi, Mingchu Zhong, Zhensu Sun, Weihan Peng, Zhi Chen, Shilin He, Chengcheng Wan, Kai Cai, Hongyu Zhang, David Lo, Xiaodong Gu
arXiv:2605.25421v2 Announce Type: replace
Abstract: Communication protocol design is a central challenge in large language model-based multi-agent systems. Existing single-channel approaches face an...
By Xinyi Mou, Siyuan Wang, Zejun Li, Yulan He, Zhongyu Wei
arXiv:2610.25076v2 Announce Type: replace
Abstract: Mathematical problem solving and autonomous agents are increasingly important applications of language models, demanding stronger reasoning capabil...
By Yiqin Hao, Boyi Zeng, Zitong Wang, He Li, Shixiang Song, Feichen Song, Yifan Liu, Ran Tao, Bryan Dai, Zhouhan Lin
arXiv:2610.33755v1 Announce Type: new
Abstract: This work aims to assess the capabilities of the reinforcement learning algorithm, Proximal Policy Optimization (PPO), in developing a policy capable o...
By Dinis Fernandes, Tiago Ribeiro, Ant\'onio Ribeiro, Carolina Lopes, Gil Lopes, A. Fernando Ribeiro
arXiv:2610.34093v1 Announce Type: new
Abstract: Open-vocabulary 3D occupancy prediction is important for embodied agents operating in complex environments whose semantic categories extend beyond fixe...
By Changqing Zhou, Yueru Luo, Han Zhang, Zeyu Jiang, Changhao Chen