...AutoGenesisAgent: Self-Generating Multi-...Agent Systems for Complex Tasks Jeremy R. Harper 1 1 Owl Health Works LLC, Indianapolis, IN Abstract... The proliferation of large language models (LLMs) and their integration into multi-agent systems has paved the way for sophisticated automation in various domains. This paper introduces Au...

...ents interact correctly and fulfill the specified potential of an infrastructure such as AutoGenesisAgent, it requirements. The output of this ...agent is a fully integrated becomes evident that this technology does not merely system that has passed i...em refinement and optimization. architecture and operational management. 5. Optimization and Tuning Agent 2. System Architecture Post-integration, the Optimization and Tuning ...

...A key insight identified was that to automate these models a Security and Compliance Agent: Given the sensitivity and hierarchy was required, this ...agent ensures that each step potential risks associated with autonomous systems, designed has a clear ...agent who will be doing the work and an integrating a security-oriented ...

...Free Agent in ...Agent-Based Mixture-of-Experts Generative AI Framework Jung-Hua Liu National Chung ... Cheng University emileliu@ccu.edu.tw 1. Introduction Multi-agent systems have long been central to research in artificial intelligence...

...agent consistently underperforms or fails to meet certain metrics, the syst...em identifies a suitable free agent to replace it. This free ...agent, also guided by reinforcement learning, is rewarded not only for p...

...verse skill sets. Zhang et al. (2024) illustrated how combining multi-agent coordination with MoE yields high-fidelity 3D object generation in VR... trained on those specific phenomena (Xu et al., 2024). By merging agent-based task orchestration with MoE-level specialization, systems achieve mor...ance. 2.3. Existence of Incompetent Agents A significant concern in multi-agent systems is the persistence of underperforming or "incompetent" agents. ...

...InstructAgent: Building User Controllable Recommender via LLM ...Agent Wujiang Xu Rutgers University United States Yunxiao Shi University of Technology Sydney Australia Z...core issues in recommender systems unresolved. To address these limitations, we propose a new user-agent-platform paradigm, where ...

...June 03-05, 2018, Woodstock, NY Wujiang Xu et al. (a) Previous User-Platform Paradigm (b) Ours User-Agent-Platform Paradigm Figure 1: (a) Previous recommendation ecosystem primarily focused on designing s...he direct control of recommender systems. (b) In contrast, we build an individual instruction-aware agent for each user, which generates re-ranking results based on the user's active instructions. The ...agent's memory component is influenced solely by the individual user, providing an individualized person...

...InstructAgent: Building User Controllable Recommender via LLM ...Agent Conference acronym 'XX, June 03-05, 2018, Woodstock, NY both active and less-active users separate...ly. From the overall empirical results, it validates that our proposed Instruct 2 Agent serve as a shield between user and recommender systems. 2 Task Definitions and Comparisions Seq...

...DialogAgent: An Auto-engagement ...Agent for Code Question Answering Data Production Xiaoyun Liang Jingyi Ren Jiayi Qi ByteDance ByteDan...specific user and business contexts, accessible, labeled datasets. In this paper, we present DialogAgent, an automated tool for generating synthetic training data all while adhering to strict privacy pol...

... GENT datasets and scale effectively to handle complex tasks. In this section, we introduce DialogAgent, a novel method Encoder-only models, such as CodeBERT [11], rely on designed to automatically ge... to learn vectorized embeddings of input code IDE usage. Figure 1 illustrates the workflow of DialogAgent, sequences. These models are particularly suited for tasks which leverages the Q&A plugin within th...odex [14], utilize an autoregressive transformer reflects the day-to-day needs of developers. DialogAgent generates decoder to generate code sequences. These models excel synthetic data by simulating multi...

...Fig. 1: Workflow of DialogAgent Fig. 2: Process of QA-DBA Fig. 4: Prompt for Data Production Planning. B. Chat Configuration Gen...

...CoCo-Agent: A Comprehensive Cognitive MLLM ...Agent for Smartphone GUI Automation Xinbei Ma 1,2,3,4 , Zhuosheng Zhang 1, , Hai Zhao 1,2,3,4 * 1 ...n response. We propose a Although strong (M)LLMs like GPT-4V (OpenAI, Comprehensive Cognitive LLM Agent, CoCo-2023) and ChatGPT (Ouyang et al., 2022) ...

... 2023b; Richards, 2023) of environmental information is limited by the finite use the term language agent to refer to language input window, where a balance between the models that interact with an environ...gth needs to be struck. agents and solve a problem. This paper investigates This work proposes CoCo-Agent, a the autonomous language agents that perceive the Comprehensive Cognitive MLLM ...Agent, to environment and then act on the environment. address the challenges above for smartphone GUI On...

...PRESS_ENTER> Agent Language Embedding Adapter Vision Module Language Model I need to ...CLICK> Chile | Today's latest from Al tap_point: [0.3947, 0.4370] Figure 1: Overview of CoCo-Agent, illustrating the perception and action response on a time step. CEP integrates the shown fine-grai...ulate the GUI automation features to the space of language embedding task and then propose our CoCo-Agent. (E MBED text ). The input is denoted as X, including Concretely, we will describe our technical...

...SWE-agent: ...Agent-Computer Interfaces Enable Automated Software Engineering John Yang 1,2 Carlos Jimenez 1,2 Ale...affects the performance of language model agents. As a result of this exploration, we introduce SWE-agent: a system that facilitates LM agents to autonomously use computers to solve software engineering ta...

...Consider the simple setting of an agent interacting directly with a Linux shell [59]. In practice, we find that LM agents can struggle to r... makes an invalid edit. These deficits substantially hamper performance, motivating the need for an agent-computer interface (ACI), i.e., an abstraction layer between the LM ...agent and computer, to enhance the LM ...

...ce that was built informed by these differences. Ultimately, a well-designed ACI should help the LM agent understand the state of the application given previous changes, manage history to avoid unnecessary...rmance [7]. We use two approaches to enhance performance on a development set: (1) manually inspect agent behavior to identify difficulties and propose improvements, and (2) run a grid search to select the... use, reducing the need for demonstrations or fine-tuning. This is a defining principle for all SWE-agent commands that we describe in Section 3. 2. Actions should be compact and efficient. Important opera...

...) have garnered significant research attention. However, fully harnessing the potential of LLMs for agent-based tasks presents inherent challenges due to the heterogeneous nature of diverse data sources fe...aturing multi-turn trajectories. In this paper, we introduce AgentOhana as a comprehensive solution to address these challenges. ...AgentOhana aggregates ...

...PREPRINT featuring interactions of multi-turns, as commonly observed in agent-relevant data. The heterogeneity in data structures, syntaxes, labeling conventions, and processing...ctrum of applications. In this work, we bridge the existing gap by building the first comprehensive agent data collection and training pipeline, named ...AgentOhana. Drawing inspiration from the notable achievements of DialogStudio (Zhang et al., 2023) and FL...

...utput: Output: ... Observation: Observation: Observation: Shuffler Aggr Aggr Environment 2 Agent Trajectory Standardizer Custom Filter ... Public LLMs Interleaver Environment N ...Agent Rater Model APIs Multi-turn Envs Pool Generator Figure 1: Workflow of ...AgentOhana. A homogeneous multi-turn data format is designed to consolidate heterogeneous trajectories fr...

...MRJ-Agent: An Effective Jailbreak ...Agent for Multi-Round Dialogue Fengxiang Wang 1,2 * , Ranjie Duan 1,4 * , Peng Xiao 1 , Xiaojun Ji...lve this problem, we propose a novel multi-round dialogue jailbreak attack by building a red-team agent, which contains two parts: data construction and ...

...ks in multi-rounds. To achieve such a flexible attack method, we propose an automated red-teaming agent. In detail, we design two parts to train the ...agent: 1. Data construction and 2. Red-teaming ...agent training. In the data construction stage , to obtain high-quality training data with more fluent a...

...ntrol strategy and psychological induction strategies. The second part is training the red-teaming agent, in which we demonstrate how, after constructing the data, we utilize the current data to train an... effective red-teaming agent that can automatically conduct multiple rounds of questioning. An overview of our proposed method...

...IntellAgent: A Multi-...Agent Framework for Evaluating Conversational AI Systems Elad Levi Ilan Kadar Plurai Plurai eladl@plu...thods fail to capture the complexity and variability of real-world interactions. We introduce IntellAgent, a scalable, opensource multi-...

...ng and optimizing conversational agents for real-world applications. In this work, we present IntellAgent, a scalable open-source multi-...agent framework powered by AI agents, specifically designed to simulate and evaluate conversational AI ag...ents comprehensively. IntellAgent represents a paradigm shift in evaluation by automating the generation of diverse, synthetic scenar...

...rk makes several key contributions to the evaluation of conversational AI agents: A Scalable Multi-Agent Evaluation Framework: Intell...Agent provides a robust and scalable multi-...agent framework that automatically generates diverse, realistic scenarios tailored to address the unique ...

...JOURNAL OF L A T E X CLASS FILES, VOL. 14, NO. 8, AUGUST 2021 1 AgentLens: Visual Analysis for ...Agent Behaviors in LLM-based Autonomous Systems Jiaying Lu, Bo Pan, Jieyi Chen, Yingchaojie Feng, Jingyu...ructure in terms of time sequence, and a cause trace method to mine the causal relationship between agent fixed usage scenario, a user's short-term analysis target will behaviors. We then develop ...

...rehensive behaviors, they often overlooked how to effectively analyze analytical ideas and methods. agent behaviors. In this work, we identify this research gap A substantial number of research on event se...quence and present a visualization approach for analyzing agent visualization is notably correlated with fields where there behaviors in LLM-based multi-...agent systems. is a prevalent demand for event information condensation, such as in the realm of social m...