[논문리뷰] MSA: Memory Sparse Attention for Efficient End-to-End Memory Model Scaling to 100M TokensarXiv에 게시된 'MSA: Memory Sparse Attention for Efficient End-to-End Memory Model Scaling to 100M Tokens' 논문에 대한 자세한 리뷰입니다.#Review#Memory Sparse Attention#Long-Context LLMs#Efficient Memory#End-to-End Trainable#KV Cache Compression#Rotary Positional Embedding#Multi-hop Reasoning#Scalability2026년 3월 26일댓글 수 로딩 중
[논문리뷰] Deep Tabular Research via Continual Experience-Driven ExecutionarXiv에 게시된 'Deep Tabular Research via Continual Experience-Driven Execution' 논문에 대한 자세한 리뷰입니다.#Review#Deep Tabular Research#LLM Agents#Tabular Reasoning#Continual Learning#Experience-Driven Execution#Multi-hop Reasoning#Unstructured Tables2026년 3월 22일댓글 수 로딩 중
[논문리뷰] Dynamic Long Context Reasoning over Compressed Memory via End-to-End Reinforcement LearningarXiv에 게시된 'Dynamic Long Context Reasoning over Compressed Memory via End-to-End Reinforcement Learning' 논문에 대한 자세한 리뷰입니다.#Review#Long Context Reasoning#Memory Compression#Reinforcement Learning#Large Language Models (LLMs)#Inference Efficiency#Dynamic Recall#KV-Cache#Multi-hop Reasoning2026년 2월 10일댓글 수 로딩 중
[논문리뷰] Breaking the Static Graph: Context-Aware Traversal for Robust Retrieval-Augmented GenerationQintian Guo이 arXiv에 게시한 'Breaking the Static Graph: Context-Aware Traversal for Robust Retrieval-Augmented Generation' 논문에 대한 자세한 리뷰입니다.#Review#Retrieval-Augmented Generation#Knowledge Graphs#Graph Traversal#Context-Aware Retrieval#Personalized PageRank#Multi-hop Reasoning#Semantic Drift Mitigation2026년 2월 5일댓글 수 로딩 중
[논문리뷰] Watching, Reasoning, and Searching: A Video Deep Research Benchmark on Open Web for Agentic Video ReasoningShuo Zhang이 arXiv에 게시한 'Watching, Reasoning, and Searching: A Video Deep Research Benchmark on Open Web for Agentic Video Reasoning' 논문에 대한 자세한 리뷰입니다.#Review#Video Question Answering#Open-domain Search#Multimodal LLMs#Agentic AI#Benchmark#Video Understanding#Multi-hop Reasoning2026년 1월 12일댓글 수 로딩 중
[논문리뷰] Dr. Zero: Self-Evolving Search Agents without Training DataShaoliang Nie이 arXiv에 게시한 'Dr. Zero: Self-Evolving Search Agents without Training Data' 논문에 대한 자세한 리뷰입니다.#Review#Self-Evolution#Search Agents#Large Language Models (LLMs)#Data-Free Learning#Reinforcement Learning (RL)#Hop-Grouped Relative Policy Optimization (HRPO)#Question Answering#Multi-hop Reasoning2026년 1월 12일댓글 수 로딩 중
[논문리뷰] Multi-hop Reasoning via Early Knowledge AlignmentXuanjing Huang이 arXiv에 게시한 'Multi-hop Reasoning via Early Knowledge Alignment' 논문에 대한 자세한 리뷰입니다.#Review#Retrieval-Augmented Generation (RAG)#Multi-hop Reasoning#Reinforcement Learning (RL)#Knowledge Alignment#Iterative RAG#Entropy Analysis#Plan Failure2025년 12월 24일댓글 수 로딩 중
[논문리뷰] Step-DeepResearch Technical ReportarXiv에 게시된 'Step-DeepResearch Technical Report' 논문에 대한 자세한 리뷰입니다.#Review#Deep Research Agents#LLMs#Reinforcement Learning#Supervised Fine-tuning#Agentic AI#Multi-hop Reasoning#Benchmarking#Cost-effectiveness2025년 12월 23일댓글 수 로딩 중
[논문리뷰] TabDSR: Decompose, Sanitize, and Reason for Complex Numerical Reasoning in Tabular DataJin Zeng이 arXiv에 게시한 'TabDSR: Decompose, Sanitize, and Reason for Complex Numerical Reasoning in Tabular Data' 논문에 대한 자세한 리뷰입니다.#Review#Tabular Data#Numerical Reasoning#Large Language Models (LLMs)#Table Question Answering (TQA)#Program-of-Thoughts (PoT)#Data Sanitization#Query Decomposition#Multi-hop Reasoning2025년 11월 9일댓글 수 로딩 중
[논문리뷰] ACE: Attribution-Controlled Knowledge Editing for Multi-hop Factual RecallJiaqi Tang이 arXiv에 게시한 'ACE: Attribution-Controlled Knowledge Editing for Multi-hop Factual Recall' 논문에 대한 자세한 리뷰입니다.#Review#Knowledge Editing#LLMs#Multi-hop Reasoning#Mechanistic Interpretability#Neuron-level Attribution#Factual Recall#Transformer Networks2025년 10월 13일댓글 수 로딩 중
[논문리뷰] When Thoughts Meet Facts: Reusable Reasoning for Long-Context LMsarXiv에 게시된 'When Thoughts Meet Facts: Reusable Reasoning for Long-Context LMs' 논문에 대한 자세한 리뷰입니다.#Review#Long-Context LMs#Multi-hop Reasoning#Thought Templates#Retrieval-Augmented Generation#Natural Language Feedback#Knowledge-intensive QA#Reasoning Reuse2025년 10월 10일댓글 수 로딩 중
[논문리뷰] Demystifying deep search: a holistic evaluation with hint-free multi-hop questions and factorised metricsarXiv에 게시된 'Demystifying deep search: a holistic evaluation with hint-free multi-hop questions and factorised metrics' 논문에 대한 자세한 리뷰입니다.#Review#Deep Search#Multi-hop Reasoning#Evaluation Benchmark#Retrieval-Augmented Generation#Web Agents#Diagnostic Metrics#Knowledge Utilization#Hint-Free Questions2025년 10월 8일댓글 수 로딩 중
[논문리뷰] Are We on the Right Way for Assessing Document Retrieval-Augmented Generation?Junjie Yang이 arXiv에 게시한 'Are We on the Right Way for Assessing Document Retrieval-Augmented Generation?' 논문에 대한 자세한 리뷰입니다.#Review#Retrieval-Augmented Generation#Multimodal LLMs#Benchmark Evaluation#Document Understanding#Multi-hop Reasoning#Information Retrieval#Evaluation Dataset2025년 8월 8일댓글 수 로딩 중