arXiv:2609.15569v1 Announce Type: cross
Abstract: Large brains are metabolically costly, and associations with changing environments do not imply they evolved there, as the Cognitive Buffer Hypothesi...
By Sian Heesom-Green, Jonathan Shock, Geoff Nitschke
arXiv:2609.15982v1 Announce Type: cross
Abstract: Skills extend an LLM agent beyond its parametric knowledge, and the gain they promise rests on picking the right one. Deployed harnesses route by pre...
By Ruishuo Chen, Xun Wang, Yu Chen, Zhuoran Li, Longbo Huang
arXiv:2604.21155v2 Announce Type: replace
Abstract: Intrinsic motivations are receiving increasing attention, i.e. behavioral incentives that are not engineered, but emerge from the interaction of an...
By Tristan Shah, Ilya Nemenman, Daniel Polani, Stas Tiomkin
arXiv:2609.12394v2 Announce Type: replace
Abstract: Mobile GUI agents are shifting from multi-module frameworks to native models trained end-to-end, yet industrial deployment faces three persistent g...
By Tong Ye, Kunyang Han, Guozhi Wang, Longqiang Luo, Zhifeng Ding, Yongxiang Zhang, Xiaolei Shen, Yuxuan Zhang, Zhuping Zhang, Tao Xu, Yue Pan, Yucheng Zhao, Yupei Hu, Yuanjiang Ouyang, Danfeng Shen, Runqi Lin, Hongda Cai, Zhaoxiong Wang, Mengjia Yan, Yingjie Zhong, Chen Zhou, Zeyu Zhang, Xuwen Zhu, Penggang Shi, Mingcheng Luo, Ziyang Wu, Min Jin, Mingfu Shen, Zairong Xu, Fan Zhang, Hao Wang, Liang Liu, Zhulin Xie, Lijun Yao, Xiao Liang, Liangmin Wen, Liqiang Feng, Feilong Wu, Min Hu, Min Chen, Guanjing Xiong, Xiaohu Ruan, Xiaoxin Chen
arXiv:2609.13806v1 Announce Type: cross
Abstract: ICD-10-CM codes are alphanumeric codes used in the US to classify diagnoses and injuries for medical billing and epidemiological reporting. Standard...
By Chong Yock Eng, Yushi Cao, Yiming Chen, Kezhi Mao, Hongchao Jiang
arXiv:2609.14066v1 Announce Type: cross
Abstract: Although existing multi-agent Retrieval-Augmented Generation (RAG) systems have demonstrated promise on complex multimodal reasoning tasks, they rema...
By Zhongyu Wang
arXiv:2609.14138v1 Announce Type: cross
Abstract: As LLM agents become integrated into increasingly complex workflows, they must continually acquire new capabilities while retaining competence on pre...
By Siddharth Sharma, Nilesh Prasad Pandey, Onat Gungor, Tajana Rosing
arXiv:2605.19892v2 Announce Type: replace-cross
Abstract: Dramatic cost reductions driven by private sector innovations have led to a rapid increase in the number of satellites in orbit and a corresp...
By Jonas Weiss, Patricia Sagmeister, Gabriel Maiolini Capez, Dinesh Verma, Roberto Garello, Alberto Perotti, Dawid Lazaj, Alicja Musial, Jakub Nalepa, Thomas Morf, Martin Schmatz, Marek Krawczyk, Mateusz Przeliorz, Kevin Roche, Sagar Tayal, Mahalakshmi Lakshminarayanan, Nicolas Long\'ep\'e, Pierre-Philippe Mathieu, Agata Wijata
arXiv:2606.22906v2 Announce Type: replace-cross
Abstract: Large language models have shown strong performance on software engineering (SE) tasks, yet understanding large industrial repositories remai...
By Jiawei He, Weisong Sun, Mengyu Shi, Jie Jia, Tong Bian, Xikai Yang, Dong Sun
arXiv:2609.12839v2 Announce Type: replace-cross
Abstract: The proliferation of highly capable open-weight Small Language Models (SLMs) democratizes access to advanced cybersecurity capabilities, posi...
By Sebastiano Nordio, Michele Lotto
arXiv:2609.13149v1 Announce Type: new
Abstract: For local large language model agents, active context is a scarce resource: memory capacity, prefill latency, cache growth, and service objectives all...
By Aditya Karnam Gururaj Rao, Arjun Jaggi
arXiv:2609.14180v1 Announce Type: new
Abstract: Fault detection in autonomous VTOL aircraft is critical because even minor component degradations can rapidly destabilize multirotor vehicles operating...
By Ripon C. Sarker, Pedram H. Dabaghian, Raman Goyal, Atanu Halder
arXiv:2609.14239v1 Announce Type: new
Abstract: Static benchmarks for computer-use agents fix a task set at release and score every system against it once. That makes them reproducible, and it lets t...
By Nitish Kovuru, Prateek Jannu
arXiv:2609.14636v1 Announce Type: new
Abstract: On-policy distillation (OPD) has become a standard approach for transferring capabilities from large teachers to compact students. Its cost, however, i...
By Zhiyu Gui, Kexin Huang, Jia Guo, Junkang Wu, Zihao Wang, Zhiqiang Zhang, Jun Zhou, Jiancan Wu, Xiang Wang
arXiv:2609.14872v1 Announce Type: new
Abstract: Agentic serving can consume orders of magnitude more tokens than chatbot workloads, stressing both KV-cache capacity and decode-time bandwidth. Most KV...
By Taowen Tony Liu, Jeffrey T. H. Wong, Can Xiao, Bowen Yang, Hao Mark Chen, Yiren Zhao
arXiv:2609.13243v1 Announce Type: cross
Abstract: We present GzDRL, a novel single-process reinforcement learning (RL) framework for Gazebo that overcomes longstanding bottlenecks in scalable, reprod...
By Amal Dev Haridevan, Junjie Kang, Jinjun Shan
arXiv:2609.13247v1 Announce Type: cross
Abstract: Calibrating an agent-based model (ABM) is difficult because its objective landscape is stochastic and rugged, and can be evaluated only through costl...
By Duguma Yeshitla Habtemariam, Jihwan Lee
arXiv:2609.15029v1 Announce Type: cross
Abstract: Backdoor poisoning attacks add poisoned examples to otherwise-clean finetuning data, pairing a trigger with a target behavior that the model learns t...
By Aashiq Muhamed, Mona T. Diab, Virginia Smith, Andrew Ilyas, Matthew Jagielski
arXiv:2609.13348v1 Announce Type: cross
Abstract: This paper presents ViFA-Council, a three-stage multi-agent framework that employs multiple large language models (LLMs) to tackle two culturally com...
By Hai-Dang Nguyen, Minh-Phuong Pham, Thao Thi Phuong Dao, Trong-Le Do, Vinh-Tiep Nguyen, Trung-Nghia Le
arXiv:2609.13469v1 Announce Type: cross
Abstract: Understanding how humans respond to incentives, both at the individual and collective levels, is crucial to the design of effective policies. Within...
By Haoyang Cao, G\"ok\c{c}e Dayan{\i}kl{\i}, Xiaofei Shi