[AI Paper] Multi-Agent Constraint Factorization Reveals Latent Invariant Solution Structure
Multi-Agent Constraint Factorization Reveals Latent Invariant Solution Structure 📌 1단계: 기본 정보 제목 Multi-Agent Constraint Factorization Reveals Latent Invariant Solution Structure 저자 Christopher Scofield (chris@sentienta.ai) 출판정보 arXiv ID: 2601.15077v1…
[AI Paper] 📄 Beyond Pipelines: Model-Native Agentic AI Survey (2025)
📄 Beyond Pipelines: Model-Native Agentic AI Survey (2025) 📋 메타 정보 항목 내용 제목 Beyond Pipelines: A Survey of the Paradigm Shift toward Model-Native Agentic AI 저자 Jitao Sang 외 7인 (Beijing Jiaotong University) 출판일 2025년 10월 (arXiv:2510.16720) 버전 v2…
[AI Paper] 📄 MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework
📄 MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework 📋 메타 정보 항목 내용 저자 Sirui Hong, Mingchen Zhuge, Jonathan Chen, Xiawu Zheng, Yuheng Cheng, Jinlin Wang, Ceyao Zhang, Zili Wang, Steven Ka Shing Yau, Zijuan Lin, Liyang Zhou, Chenyu Ran,…
[AI Paper] MAS-Orchestra: Understanding and Improving Multi-Agent Reasoning Through Holistic Orchestration and Controlled Benchmarks
MAS-Orchestra: Understanding and Improving Multi-Agent Reasoning Through Holistic Orchestration and Controlled Benchmarks 1단계: 기본 정보 항목 내용 제목 MAS-Orchestra: Understanding and Improving Multi-Agent Reasoning Through Holistic Orchestration and Controlled…
[AI Paper] Learning Latency-Aware Orchestration for Parallel Multi-Agent Systems
Learning Latency-Aware Orchestration for Parallel Multi-Agent Systems Meta Information 항목 내용 저자 Xi Shi, Mengxin Zheng, Qian Lou arXiv 2601.10560v1 PDF Download 제출일 2026-01-15 코드 GitHub – xishi404/LAMaS 한줄 요약 [!tip] TL;DR 병렬 멀티에이전트 시스템에서 Critical…
[AI Paper] 📄 Large Language Models as Tool Makers
📄 Large Language Models as Tool Makers 📋 메타 정보 항목 내용 논문 제목 Large Language Models as Tool Makers 저자 Tianle Cai, Xuezhi Wang, Tengyu Ma, Xinyun Chen, Denny Zhou 소속 Google DeepMind, Princeton University, Stanford University 발표 ICLR 2024 (Poster) arXiv…
[AI Paper] LLMOrbit: A Circular Taxonomy of Large Language Models
LLMOrbit: A Circular Taxonomy of Large Language Models 메타 정보 항목 내용 저자 Badri N. Patro, Vijay S. Agneeswaran arXiv ID 2601.14053v1 arXiv URL https://arxiv.org/abs/2601.14053v1 PDF https://arxiv.org/pdf/2601.14053v1.pdf 분석 기간 2019-2025 분석 대상 50+ 모델, 15개 조직…
[AI Paper] 📄 Large Language Model based Multi-Agents: A Survey of Progress and Challenges
📄 Large Language Model based Multi-Agents: A Survey of Progress and Challenges 📋 메타 정보 항목 내용 저자 Taicheng Guo, Xiuying Chen, Yaqi Wang, Ruidi Chang, Shichao Pei, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang 소속 기관 University of Notre Dame, King Abdullah…
[AI Paper] Improving Methodologies for Agentic Evaluations Across Domains
Improving Methodologies for Agentic Evaluations Across Domains [!abstract] 논문 요약 본 논문은 9개국 70명의 연구자가 참여한 제3차 국제 공동 테스트 연습(3rd Joint Testing Exercise)의 결과물로, 자율 AI 에이전트 시스템의 안전성 평가 방법론을 개선하기 위한 연구이다. 민감정보 유출(Sensitive Information Leakage), 사기(Fraud),…
[AI Paper] INFA-Guard: Mitigating Malicious Propagation via Infection-Aware Safeguarding in LLM-Based Multi-Agent Systems
INFA-Guard: Mitigating Malicious Propagation via Infection-Aware Safeguarding in LLM-Based Multi-Agent Systems 📌 1단계: 기본 정보 항목 내용 제목 INFA-Guard: Mitigating Malicious Propagation via Infection-Aware Safeguarding in LLM-Based Multi-Agent Systems 저자 Yijin…