[AI Paper] 📄 Tool Learning with Foundation Models
📄 Tool Learning with Foundation Models 📋 메타 정보 항목 내용 제목 Tool Learning with Foundation Models 저자 Yujia Qin, Shengding Hu, Yankai Lin, Weize Chen, Ning Ding 외 40+ 연구자 소속 Tsinghua University, Renmin University, UIUC, NYU, CMU, Beijing University of Posts…
[AI Paper] The Why Behind the Action: Unveiling Internal Drivers via Agentic Attribution
The Why Behind the Action: Unveiling Internal Drivers via Agentic Attribution [!summary] 논문 개요 이 논문은 LLM 기반 AI 에이전트의 행동 이면에 있는 내부 동인을 파악하는 새로운 프레임워크인 Agentic Attribution을 제안합니다. 기존의 실패 원인 규명(Failure Attribution) 접근법에서 한 걸음 더 나아가, 성공하더라도 부적절한 의사결정 프로세스를…
[AI Paper] 📄 The Responsibility Vacuum: Organizational Failure in Scaled Agent Systems
📄 The Responsibility Vacuum: Organizational Failure in Scaled Agent Systems 📌 1단계: 기본 정보 항목 내용 제목 The Responsibility Vacuum: Organizational Failure in Scaled Agent Systems 저자 Oleg Romanchuk, Roman Bondar arXiv ID 2601.15059v1 발행일 2026년 1월 21일 분야 Computer…
[AI Paper] The Orchestration of Multi-Agent Systems: Architectures, Protocols, and Enterprise Adoption
The Orchestration of Multi-Agent Systems: Architectures, Protocols, and Enterprise Adoption Meta Information 항목 내용 저자 Apoorva Adimulam, Rajesh Gupta, Sumit Kumar arXiv ID 2601.13671v1 링크 arXiv Abstract | PDF 분야 Multi-Agent Systems, AI Orchestration,…
[AI Paper] 📄 Self-RAG: Learning to Retrieve, Generate, and Critique
📄 Self-RAG: Learning to Retrieve, Generate, and Critique 📋 메타 정보 항목 내용 논문 제목 Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection 저자 Akari Asai, Zeqiu Wu, Yizhong Wang, Avirup Sil, Hannaneh Hajishirzi 소속 University of…
[AI Paper] 📄 Reflexion: Language Agents with Verbal Reinforcement Learning
📄 Reflexion: Language Agents with Verbal Reinforcement Learning 📋 메타 정보 항목 내용 저자 Noah Shinn, Federico Cassano, Edward Berman, Ashwin Gopinath, Karthik Narasimhan, Shunyu Yao 소속 Northeastern University (Khoury College), MIT, Princeton University 발표처…
[AI Paper] 📄 ReAct: Synergizing Reasoning and Acting in Language Models
📄 ReAct: Synergizing Reasoning and Acting in Language Models 📋 메타 정보 항목 내용 저자 Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik Narasimhan, Yuan Cao 소속 Princeton University (Department of Computer Science), Google Research (Brain Team)…
[AI Paper] 📄 RAGBench: Explainable Benchmark for Retrieval-Augmented Generation Systems
📄 RAGBench: Explainable Benchmark for Retrieval-Augmented Generation Systems 📋 메타 정보 항목 내용 저자 Robert Friel, Masha Belyi, Atindriyo Sanyal 소속 Galileo Technologies Inc. 발표일 2024년 7월 15일 (arXiv) 최신 버전 v2 (2025년 1월 16일) arXiv 2407.11005 데이터셋 HuggingFace…
[AI Paper] 📄 RAGAS: Automated Evaluation of Retrieval Augmented Generation
📄 RAGAS: Automated Evaluation of Retrieval Augmented Generation 📋 메타 정보 항목 내용 저자 Shahul Es, Jithin James (Exploding Gradients), Luis Espinosa-Anke, Steven Schockaert (CardiffNLP, Cardiff University) 기관 Exploding Gradients, Cardiff University, AMPLYFI 발표처…
[AI Paper] Paper2Rebuttal: A Multi-Agent Framework for Transparent Author Response Assistance
Paper2Rebuttal: A Multi-Agent Framework for Transparent Author Response Assistance 메타 정보 항목 내용 저자 Qianli Ma, Chang Guo, Zhiheng Tian, Siyu Wang, Jipeng Xiao, Yuanhao Yue, Zhipeng Zhang arXiv ID 2601.14171v1 제출일 2026년 1월 20일 분야 cs.AI (Artificial…