[AI Paper] From Passive Metric to Active Signal: The Evolving Role of Uncertainty Quantification in Large Language Models
From Passive Metric to Active Signal: The Evolving Role of Uncertainty Quantification in Large Language Models 📌 1단계: 기본 정보 제목 From Passive Metric to Active Signal: The Evolving Role of Uncertainty Quantification in Large Language Models 저자 Jiaxin Zhang…
[AI Paper] Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification
📄 Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification 1단계: 기본 정보 논문 정보 제목: Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification…
[AI Paper] Zero-shot Adaptable Task Planning for Autonomous Construction Robots
Zero-shot Adaptable Task Planning for Autonomous Construction Robots 메타 정보 항목 내용 저자 Hossein Naderi, Alireza Shojaei, Lifu Huang, Philip Agee, Kereshmeh Afsari, Abiola Akanmu 소속 Virginia Tech (Myers-Lawson School of Construction) arXiv ID 2601.14091v1 제출일…
[AI Paper] Where Do AI Coding Agents Fail? An Empirical Study of Failed Agentic Pull Requests in GitHub
Where Do AI Coding Agents Fail? An Empirical Study of Failed Agentic Pull Requests in GitHub 📌 1단계: 기본 정보 항목 내용 제목 Where Do AI Coding Agents Fail? An Empirical Study of Failed Agentic Pull Requests in GitHub 저자 Ramtin Ehsani, Sakshi Pathak, Shriya Rawal,…
[AI Paper] VideoThinker: Building Agentic VideoLLMs with LLM-Guided Tool Reasoning
VideoThinker: Building Agentic VideoLLMs with LLM-Guided Tool Reasoning 📌 1단계: 기본 정보 제목: VideoThinker: Building Agentic VideoLLMs with LLM-Guided Tool Reasoning 저자: Chenglin Li (Zhejiang University, Shanghai Innovation Institute) Qianglong Chen (Zhejiang…
[AI Paper] TransportAgents: a multi-agents LLM framework for traffic accident severity prediction
TransportAgents: a multi-agents LLM framework for traffic accident severity prediction 📌 1단계: 기본 정보 항목 내용 제목 TransportAgents: a multi-agents LLM framework for traffic accident severity prediction 저자 Zhichao Yang¹, Jiashu He², Jinxuan Fan³, Cirillo…
[AI Paper] 📄 Towards Reliable ML Feature Engineering via Planning in Constrained-Topology of LLM Agents
📄 Towards Reliable ML Feature Engineering via Planning in Constrained-Topology of LLM Agents 메타 정보 저자: Himanshu Thakur, Anusha Kamath, Anurag Muthyala, Dhwani Sanmukhani, Smruthi Mukund, Jay Katukuri 출처: arXiv:2601.10820v1 발표일: 2026년 1월 라이선스: CC BY 4.0…
[AI Paper] Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement
Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement 메타 정보 항목 내용 저자 Jian Zhang, Zhangqi Wang, Zhiyuan Wang, Weiping Fu, Yu He arXiv ID 2601.13481v1 링크 arXiv Abstract | PDF 주제 Multi-Agent…
[AI Paper] 📄 Toolformer: Language Models Can Teach Themselves to Use Tools
📄 Toolformer: Language Models Can Teach Themselves to Use Tools 📋 메타 정보 저자: Timo Schick, Jane Dwivedi-Yu, Roberto Dessi, Roberta Raileanu, Maria Lomeli, Luke Zettlemoyer, Nicola Cancedda, Thomas Scialom 기관: Meta AI Research, Universitat Pompeu Fabra…
[AI Paper] 📄 ToolLLM: Facilitating LLMs to Master 16000+ APIs
📄 ToolLLM: Facilitating LLMs to Master 16000+ APIs 📋 메타 정보 항목 내용 논문 제목 ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs 발표 ICLR 2024 (Spotlight) 저자 Yujia Qin, Shihao Liang, Yining Ye, Kunlun Zhu 외 다수 소속 Tsinghua University,…