[논문리뷰] A-RAG: Scaling Agentic Retrieval-Augmented Generation via Hierarchical Retrieval InterfacesarXiv에 게시된 'A-RAG: Scaling Agentic Retrieval-Augmented Generation via Hierarchical Retrieval Interfaces' 논문에 대한 자세한 리뷰입니다.#Review#Agentic RAG#Hierarchical Retrieval#LLM Tool Use#Multi-hop QA#Context Efficiency#Dynamic Strategy#Retrieval-Augmented Generation2026년 2월 4일댓글 수 로딩 중
[논문리뷰] EvoFSM: Controllable Self-Evolution for Deep Research with Finite State MachinesarXiv에 게시된 'EvoFSM: Controllable Self-Evolution for Deep Research with Finite State Machines' 논문에 대한 자세한 리뷰입니다.#Review#LLM Agents#Self-Evolution#Finite State Machines#Deep Research#Multi-hop QA#Adaptive Workflow#Memory Mechanism#Controllable AI2026년 1월 14일댓글 수 로딩 중
[논문리뷰] Memory Matters More: Event-Centric Memory as a Logic Map for Agent Searching and ReasoningZhicheng Dou이 arXiv에 게시한 'Memory Matters More: Event-Centric Memory as a Logic Map for Agent Searching and Reasoning' 논문에 대한 자세한 리뷰입니다.#Review#LLM Agents#Agent Memory#Event Graph#Long-term Reasoning#Knowledge Graph#Active Retrieval#Event Segmentation#Multi-hop QA2026년 1월 11일댓글 수 로딩 중
[논문리뷰] QuCo-RAG: Quantifying Uncertainty from the Pre-training Corpus for Dynamic Retrieval-Augmented GenerationLu Cheng이 arXiv에 게시한 'QuCo-RAG: Quantifying Uncertainty from the Pre-training Corpus for Dynamic Retrieval-Augmented Generation' 논문에 대한 자세한 리뷰입니다.#Review#Dynamic RAG#Hallucination Detection#Corpus Statistics#Uncertainty Quantification#Pre-training Data#LLM Calibration#Infini-gram#Multi-hop QA2025년 12월 22일댓글 수 로딩 중
[논문리뷰] LoongRL:Reinforcement Learning for Advanced Reasoning over Long ContextsarXiv에 게시된 'LoongRL:Reinforcement Learning for Advanced Reasoning over Long Contexts' 논문에 대한 자세한 리뷰입니다.#Review#Reinforcement Learning#Long Context Reasoning#Large Language Models#Multi-hop QA#Data Synthesis#Retrieval-Augmented Generation#Chain-of-Thought2025년 10월 23일댓글 수 로딩 중
[논문리뷰] Explore to Evolve: Scaling Evolved Aggregation Logic via Proactive Online Exploration for Deep Research AgentsJianshu Zhang이 arXiv에 게시한 'Explore to Evolve: Scaling Evolved Aggregation Logic via Proactive Online Exploration for Deep Research Agents' 논문에 대한 자세한 리뷰입니다.#Review#Web Agents#Information Aggregation#Data Synthesis#Online Exploration#Foundation Models#Multi-hop QA#Deep Research2025년 10월 20일댓글 수 로딩 중
[논문리뷰] A^2Search: Ambiguity-Aware Question Answering with Reinforcement LearningarXiv에 게시된 'A^2Search: Ambiguity-Aware Question Answering with Reinforcement Learning' 논문에 대한 자세한 리뷰입니다.#Review#Question Answering#Reinforcement Learning#Large Language Models#Ambiguity Resolution#Multi-hop QA#Automated Data Generation#Tool-Augmented LLMs#AnsF1 Reward2025년 10월 10일댓글 수 로딩 중
[논문리뷰] FinSearchComp: Towards a Realistic, Expert-Level Evaluation of Financial Search and ReasoningJiashuo Liu이 arXiv에 게시한 'FinSearchComp: Towards a Realistic, Expert-Level Evaluation of Financial Search and Reasoning' 논문에 대한 자세한 리뷰입니다.#Review#Financial LLMs#Agent Benchmarking#Open-domain Search#Financial Reasoning#Time-Sensitive Data#Multi-hop QA#Tool Use2025년 9월 19일댓글 수 로딩 중
[논문리뷰] HANRAG: Heuristic Accurate Noise-resistant Retrieval-Augmented Generation for Multi-hop Question AnsweringZhehao Tan이 arXiv에 게시한 'HANRAG: Heuristic Accurate Noise-resistant Retrieval-Augmented Generation for Multi-hop Question Answering' 논문에 대한 자세한 리뷰입니다.#Review#Retrieval-Augmented Generation#Multi-hop QA#Noise Resistance#LLM#Query Decomposition#Adaptive Retrieval#Heuristic Framework#Revelator2025년 9월 15일댓글 수 로딩 중