We examine a naming game on an adaptive weighted network. A weight of connection for a given pair of agents depends on their communication success rate and determines the probability with which the agents communicate. In some cases, depending on the...
Large language model (LLM) based search agents iteratively generate queries, retrieve external information, and reason to answer open-domain questions. While researchers have primarily focused on improving their utility, their safety behaviors remain...
The resurgence of autonomous agents built using large language models (LLMs) to solve complex real-world tasks has brought increased focus on LLMs' fundamental ability of tool or function calling. At the core of these agents, an LLM must plan, execut...
Mar 6, 2024 · Dear ringThis is now the 4-5 time my alarm has falsely trigger 5 or so minutes after arming and leaving. I called today and the very unprofessional agents accent was difficult to understand. As …
In the random assignment problem, objects are randomly assigned to agents keeping in view the agents' preferences over objects. A random assignment specifies the probability of an agent getting an object. We examine the structural and computational a...
Apr 1, 2025 · This report presents the first World Health Organization (WHO) analysis of antifungal agents in preclinical and clinical development. It covers systemic antifungal drugs in development â¦
A leader-follower framework is proposed for multi-robot navigation of large scale teams where the leader agents corral the follower agents. A group of leaders is modeled as a 2D deformable object where discrete masses (i.e., leader robots) are interc...
User agents vary in the fidelity with which they represent the specified colors. More advanced user agents use color management to provide better color fidelity; this is particularly important for Web-to …
In this paper, we propose a new data poisoning attack and apply it to deep reinforcement learning agents. Our attack centers on what we call in-distribution triggers, which are triggers native to the data distributions the model will be trained on an...
I describe a method for estimating agents' perceived returns to investments that relies on cross-sectional data containing binary choices and prices, where prices may be imperfectly known to agents. This method identifies the scale of perceived retur...
Coalition formation studies how to partition a set of agents into disjoint coalitions under consideration of their preferences. We study the classical objective of stability in a variant of additively separable hedonic games where agents can change t...
The design of punishment policies applied to specific domains linking agents actions to material penalties is an open research issue. The proposed framework applies principles of contract law to set penalties: expectation damages, opportunity cost, r...
1 day ago · Cursor on March 5 introduced a new tool designed to manage the chaos of multiple coding agents. Named Automations, the system allows users to automatically trigger agents within their …
1 day ago · Cursor launched a new automation tool designed to manage coding agents on Thursday. The system, called Automations, automatically launches agents triggered by events like new code …
1 day ago · Cursor Automations is a cloud AI agent platform with triggers from Slack, GitHub, Linear, and PagerDuty. Over 30% of pull requests at Cursor are now created automatically by agents.
We introduce a broadcast model called the singing model, where agents are oblivious of the size and structure of the communication network, even their immediate neighborhood. Agents can sing multiple notes which are heard by their neighbors. The mode...