Papers AI Agent
“AI Agent” 태그가 달린 논문 391편 · 필터 해제
Token Compression Meets Compact Vision Transformers: A Survey and Comparative Evaluation for Edge AI
Token compression techniques have recently emerged as powerful tools for accelerating Vision Transformer (ViT) inference in computer vision. Due to the quadratic computational complexity with respect to the token sequenc…
AI AgentOpenAgentSafety: A Comprehensive Framework for Evaluating Real-World AI Agent Safety
Recent advances in AI agents capable of solving complex, everyday tasks, from scheduling to customer service, have enabled deployment in real-world settings, but their possibilities for unsafe behavior demands rigorous e…
AI AgentSchedulingSTELLA: Self-Evolving LLM Agent for Biomedical Research
The rapid growth of biomedical data, tools, and literature has created a fragmented research landscape that outpaces human expertise. While AI agents offer a solution, they typically rely on static, manually curated tool…
AI AgentHumanity's Last ExamSelf-Evolving AIProver Agent: An Agent-based Framework for Formal Mathematical Proofs
We present Prover Agent, a novel AI agent for automated theorem proving that integrates large language models (LLMs) with a formal proof assistant, Lean. Prover Agent coordinates an informal reasoning LLM, a formal prove…
AI AgentAutomated Theorem ProvingMathematical ProofsAI Agents-as-Judge: Automated Assessment of Accuracy, Consistency, Completeness and Clarity for Enterprise Documents
This study presents a modular, multi-agent system for the automated review of highly structured enterprise business documents using AI agents. Unlike prior solutions focused on unstructured texts or limited compliance ch…
AI AgentExploring Big Five Personality and AI Capability Effects in LLM-Simulated Negotiation Dialogues
This paper presents an evaluation framework for agentic AI systems in mission-critical negotiation contexts, addressing the need for AI agents that can adapt to diverse human operators and stakeholders. Using Sotopia as …
AI AgentCausal Discoveryxbench: Tracking Agents Productivity Scaling with Profession-Aligned Real-World Evaluations
We introduce xbench, a dynamic, profession-aligned evaluation suite designed to bridge the gap between AI agent capabilities and real-world productivity. While existing benchmarks often focus on isolated technical skills…
AI AgentInformation RetrievalMarketingIndoorWorld: Integrating Physical Task Solving and Social Simulation in A Heterogeneous Multi-Agent Environment
Virtual environments are essential to AI agent research. Existing environments for LLM agent research typically focus on either physical task solving or social simulation, with the former oversimplifying agent individual…
AI AgentADAgent: LLM Agent for Alzheimer's Disease Analysis with Collaborative Coordinator
Alzheimer's disease (AD) is a progressive and irreversible neurodegenerative disease. Early and precise diagnosis of AD is crucial for timely intervention and treatment planning to alleviate the progressive neurodegenera…
AI AgentLarge Language ModelPrognosis$τ^2$-Bench: Evaluating Conversational Agents in a Dual-Control Environment
Existing benchmarks for conversational AI agents simulate single-control environments, where only the AI agent can use tools to interact with the world, while the user remains a passive information provider. This differs…
AI AgentFuture of Work with AI Agents: Auditing Automation and Augmentation Potential across the U.S. Workforce
The rapid rise of compound AI systems (a.k.a., AI agents) is reshaping the labor market, raising concerns about job displacement, diminished human agency, and overreliance on automation. Yet, we lack a systematic underst…
AI AgentEvolutionary Perspectives on the Evaluation of LLM-Based AI Agents: A Comprehensive Survey
The advent of large language models (LLMs), such as GPT, Gemini, and DeepSeek, has significantly advanced natural language processing, giving rise to sophisticated chatbots capable of diverse language-related tasks. The …
AI AgentThe Cost of Dynamic Reasoning: Demystifying AI Agents and Test-Time Scaling from an AI Infrastructure Perspective
Large-language-model (LLM)-based AI agents have recently showcased impressive versatility by employing dynamic reasoning, an adaptive, multi-step process that coordinates with external tools. This shift from static, sing…
AI AgentLarge Language ModelAI Agent Behavioral Science
Recent advances in large language models (LLMs) have enabled the development of AI agents that exhibit increasingly human-like behaviors, including planning, adaptation, and social dynamics across diverse, interactive, a…
AI AgentFairnessAI Agents for Conversational Patient Triage: Preliminary Simulation-Based Evaluation with Real-World EHR Data
Background: We present a Patient Simulator that leverages real world patient encounters which cover a broad range of conditions and symptoms to provide synthetic test subjects for development and testing of healthcare ag…
AI AgentComparative Analysis of AI Agent Architectures for Entity Relationship Classification
Entity relationship classification remains a challenging task in information extraction, especially in scenarios with limited labeled data and complex relational structures. In this study, we conduct a comparative analys…
AI AgentRelationRelation ClassificationRelation ExtractionATAG: AI-Agent Application Threat Assessment with Attack Graphs
Evaluating the security of multi-agent systems (MASs) powered by large language models (LLMs) is challenging, primarily because of the systems' complex internal dynamics and the evolving nature of LLM vulnerabilities. Tr…
AI AgentDesigning Algorithmic Delegates: The Role of Indistinguishability in Human-AI Handoff
As AI technologies improve, people are increasingly willing to delegate tasks to AI agents. In many cases, the human decision-maker chooses whether to delegate to an AI agent based on properties of the specific instance …
AI AgentDecision MakingThinkTank: A Framework for Generalizing Domain-Specific AI Agent Systems into Universal Collaborative Intelligence Platforms
This paper presents ThinkTank, a comprehensive and scalable framework designed to transform specialized AI agent systems into versatile collaborative intelligence platforms capable of supporting complex problem-solving a…
AI AgentRetrieval-augmented GenerationAgentCPM-GUI: Building Mobile-Use Agents with Reinforcement Fine-Tuning
The recent progress of large language model agents has opened new possibilities for automating tasks through graphical user interfaces (GUIs), especially in mobile environments where intelligent interaction can greatly e…
AI AgentDiversityGUI Element DetectionLarge Language Model