arXiv:2610.03089v1 Announce Type: cross
Abstract: Modern Computer Use Agents (CUAs) directly interact with graphical user interfaces and execute third-party web tools, exposing them to indirect promp...
By Giulio Zingrillo, Hanna Foerster, Ilia Shumailov, Yiren Zhao, Robert Mullins
arXiv:2610.03102v1 Announce Type: cross
Abstract: An LLM agent can recognize uncertainty yet still choose the wrong next step: asking when action is already justified, or seeking clarification when t...
By Ang Li, Yue Lin, Feifei Kou, Zhan Su, Prayag Tiwari, Wenhao Li, Shuhui Zhu, Hongyuan Zha, Baoxiang Wang
arXiv:2610.03153v1 Announce Type: cross
Abstract: Workspace agents combine large language models with execution harnesses to perform stateful, multi-step tasks that access or modify external resource...
By Shiyi Kuang, Xuemei Luo, Kun Liu, Junhai Li, Rui Tian, Feng Shi, Bo Shen, Nianyu Li, Dehui Li, Ping Chen
arXiv:2610.02351v1 Announce Type: new
Abstract: ReAct-based agents typically rely on a single LLM policy to propose actions, interact with the environment, and decide when a task is complete. This co...
By Ajay Vohra, Tao Chen, Neeti Narayan, Caron Zhang
arXiv:2610.02588v1 Announce Type: new
Abstract: Agents are increasingly given open-ended research tasks: discovering an empirical law from self-designed experiments, improving a heuristic whose optim...
By Chengyang Shi, Xianglin Ji, Jintao Huang, Jicheng Wang, Yifeng He, Jiachen Liu
arXiv:2610.02638v1 Announce Type: new
Abstract: Full-duplex voice agents make many small, closed decisions, which current systems answer by slow autoregressive decoding. We propose DuplexJev, which f...
By Jie Jin, Ziyin Ma, Min Yin, Jinyu Chen, Haigang Song, Zhikun Pang, Xiaowen Zhang
arXiv:2610.02627v1 Announce Type: new
Abstract: An email assistant should not complete less work simply because a user phrases the same request differently. Yet most benchmarks test each task with on...
By Feng Chen, Ritam Dutt, Atnaz Taheri, Alex Williams
arXiv:2610.03709v1 Announce Type: cross
Abstract: We study the minimization of sums of smooth strongly convex functions over undirected graphs, with each function held by one agent and communication...
By Kuangyu Ding, Gesualdo Scutari
arXiv:2610.02664v1 Announce Type: new
Abstract: Long-horizon agents are now playing an increasingly significant role in assisting humans with complex problem-solving. However, it is exactly their ext...
By XinPeng Shen, Lan Zhang, Yixiao Huang, Haoran Cheng, Jiewei Lai, Leilei Chen, Haoxiang Deng
arXiv:2610.02679v1 Announce Type: new
Abstract: Data journalism, the practice of using data analysis to surface newsworthy stories, depends increasingly on the ability of reporters and investigative...
By Raquib Bin Yousuf, Harith Laxman, Vitaliy Shkremetko, Eunice Son, Shambhavi Verma, Brian O'Leary, Venketesh Subramony, Sylvain Nazef, Jacquelyn Elias, Ron Coddington, Chris Contakes, Michael Riley, Naren Ramakrishnan
arXiv:2610.02715v1 Announce Type: new
Abstract: Egocentric videos capture how people carry out everyday activities, yet testing an agent requires evaluating the consequences of actions it chooses its...
By Qinchuan Cheng, Zhantao Gong, Pengzhan Sun, Angela Yao, Shijie Li
arXiv:2610.02456v1 Announce Type: cross
Abstract: AI coding agents are untrusted system components, yet they require autonomy on the developer machines they run on. This contradiction is a security p...
By Dimitrios Prasakis
arXiv:2610.02503v1 Announce Type: cross
Abstract: Deploying compound AI systems reliably and safely requires understanding failure modes that emerge at component boundaries, not within individual mod...
By Rudrendu Kumar Paul, Sourav Nandy
arXiv:2610.02513v1 Announce Type: cross
Abstract: Large-scale vectorized HD maps provide structured road information that is essential for perception, localization, and planning in autonomous driving...
By Ziwei Li, Yi-Tang Chen, Xiaoqi Wang, Wenbin He, Han-Wei Shen, Liu Ren
arXiv:2610.02563v1 Announce Type: cross
Abstract: We present OpenGameEval, a benchmark and evaluation framework for agentic game development inside Roblox Studio. It runs language models as agents in...
By Eray Turkel, Mengsha Sun, Kartik Ayyar, Sean Dunigan, Jack Lu, Vlad Shcherban, Hsiang-Shun Shih, Xin Wang, Tiantian Zhang
arXiv:2610.02928v1 Announce Type: cross
Abstract: Invariant suites and runtime monitors increasingly gate agent deployment decisions, and the evidence offered for any particular suite is almost alway...
By Xin Xu, Siru Tao
arXiv:2610.02267v1 Announce Type: new
Abstract: Agent harnesses make many small, typed decisions per task: which model to call, which tool to use, whether retrieved text is relevant, whether an input...
By Jiawei Li
arXiv:2610.02330v1 Announce Type: new
Abstract: Large language models (LLMs) rely on long-horizon tool invocation sequences for complex tasks, where each invocation can alter the task state and condi...
By Yu Li, Zheng Zhang, Xin Liu, Shengtian Yang, Guangfeng Cai, Lei Feng
arXiv:2610.03036v1 Announce Type: cross
Abstract: We present WebFovea, a vision-based web agent that placed 2nd in the WebRetriever Challenge 2026 with a final score of 57.0 out of 100. The challenge...
By Jiangang Han
arXiv:2610.03033v1 Announce Type: new
Abstract: Large language model (LLM)-based agents increasingly operate in multi-agent systems (MAS) characterised by strategic interaction. However, little is kn...
By Alessio Buscemi, Daniele Proverbio, Alessandro Di Stefano, The Anh Han, German Castignani, Pietro Li\`o