[논문리뷰] Efficient and Principled Scientific Discovery through Bayesian Optimization: A TutorialZhenzhi Tan이 arXiv에 게시한 'Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial' 논문에 대한 자세한 리뷰입니다.#Review#Bayesian Optimization#Scientific Discovery#Gaussian Process#Acquisition Function#Surrogate Model#Automated Experimentation#Sample Efficiency2026년 4월 2일댓글 수 로딩 중
[논문리뷰] MOOSE-Star: Unlocking Tractable Training for Scientific Discovery by Breaking the Complexity BarrierarXiv에 게시된 'MOOSE-Star: Unlocking Tractable Training for Scientific Discovery by Breaking the Complexity Barrier' 논문에 대한 자세한 리뷰입니다.#Review#Scientific Discovery#LLM Training#Combinatorial Complexity#Hierarchical Search#Bounded Composition#Motivation Planning#Tractable Training#TOMATO-STAR Dataset2026년 3월 5일댓글 수 로딩 중
[논문리뷰] InnoEval: On Research Idea Evaluation as a Knowledge-Grounded, Multi-Perspective Reasoning ProblemarXiv에 게시된 'InnoEval: On Research Idea Evaluation as a Knowledge-Grounded, Multi-Perspective Reasoning Problem' 논문에 대한 자세한 리뷰입니다.#Review#Research Idea Evaluation#Large Language Models (LLMs)#Knowledge Grounding#Multi-Perspective Reasoning#Agent-based Systems#Scientific Discovery#Peer Review Simulation#Automated Evaluation2026년 2월 16일댓글 수 로딩 중
[논문리뷰] InternAgent-1.5: A Unified Agentic Framework for Long-Horizon Autonomous Scientific DiscoveryXiangchao Yan이 arXiv에 게시한 'InternAgent-1.5: A Unified Agentic Framework for Long-Horizon Autonomous Scientific Discovery' 논문에 대한 자세한 리뷰입니다.#Review#Agentic AI#Scientific Discovery#Long-Horizon Reasoning#Structured Memory#Knowledge Graph#Experimental Optimization#Multi-disciplinary2026년 2월 9일댓글 수 로딩 중
[논문리뷰] AIRS-Bench: a Suite of Tasks for Frontier AI Research Science AgentsarXiv에 게시된 'AIRS-Bench: a Suite of Tasks for Frontier AI Research Science Agents' 논문에 대한 자세한 리뷰입니다.#Review#AI Research Agents#LLM Agents#Machine Learning Benchmarks#Scientific Discovery#Code Generation#Evaluation Metrics#Scaffolds#Reproducibility2026년 2월 9일댓글 수 로딩 중
[논문리뷰] Learning to Discover at Test TimearXiv에 게시된 'Learning to Discover at Test Time' 논문에 대한 자세한 리뷰입니다.#Review#Test-Time Training#Reinforcement Learning#Scientific Discovery#LLM Optimization#GPU Kernel Engineering#Algorithm Design#Single-Cell Analysis2026년 1월 22일댓글 수 로딩 중
[논문리뷰] Training AI Co-Scientists Using Rubric RewardsarXiv에 게시된 'Training AI Co-Scientists Using Rubric Rewards' 논문에 대한 자세한 리뷰입니다.#Review#AI Co-Scientists#Research Plan Generation#Reinforcement Learning (RL)#Self-Grading#Rubric Rewards#Language Models (LLMs)#Scientific Discovery2025년 12월 29일댓글 수 로딩 중
[논문리뷰] Large Language Models for Scientific Idea Generation: A Creativity-Centered SurveyMohammad Hossein Rohban이 arXiv에 게시한 'Large Language Models for Scientific Idea Generation: A Creativity-Centered Survey' 논문에 대한 자세한 리뷰입니다.#Review#Large Language Models#Scientific Discovery#Idea Generation#Creativity#Survey#AI in Science#Prompt Engineering#Multi-agent Systems#Evaluation Metrics2025년 11월 16일댓글 수 로딩 중
[논문리뷰] The Station: An Open-World Environment for AI-Driven Discoverywydu이 arXiv에 게시한 'The Station: An Open-World Environment for AI-Driven Discovery' 논문에 대한 자세한 리뷰입니다.#Review#Multi-Agent System#Open-World Environment#Scientific Discovery#AI-Driven Research#Large Language Models#Emergent Behavior#State-of-the-Art (SOTA)2025년 11월 10일댓글 수 로딩 중
[논문리뷰] Foundation Models for Scientific Discovery: From Paradigm Enhancement to Paradigm TransitionarXiv에 게시된 'Foundation Models for Scientific Discovery: From Paradigm Enhancement to Paradigm Transition' 논문에 대한 자세한 리뷰입니다.#Review#Foundation Models#Scientific Discovery#Paradigm Shift#Human-AI Collaboration#Autonomous Agents#Meta-Science#Experimental Design#Hypothesis Generation2025년 10월 20일댓글 수 로딩 중
[논문리뷰] From What to Why: A Multi-Agent System for Evidence-based Chemical Reaction Condition ReasoningFeiwei Qin이 arXiv에 게시한 'From What to Why: A Multi-Agent System for Evidence-based Chemical Reaction Condition Reasoning' 논문에 대한 자세한 리뷰입니다.#Review#Multi-Agent System#Chemical Reaction Prediction#Explainable AI#Evidence-Based Reasoning#Large Language Models#Tool-Augmented LLMs#Scientific Discovery2025년 10월 10일댓글 수 로딩 중
[논문리뷰] SciReasoner: Laying the Scientific Reasoning Ground Across DisciplinesJiabei Xiao이 arXiv에 게시한 'SciReasoner: Laying the Scientific Reasoning Ground Across Disciplines' 논문에 대한 자세한 리뷰입니다.#Review#Scientific Reasoning#Foundation Models#Multi-modal Learning#Cross-domain Generalization#Chain-of-Thought#Reinforcement Learning#Scientific Discovery#Molecular Design2025년 9월 26일댓글 수 로딩 중
[논문리뷰] Spacer: Towards Engineered Scientific Inspirationzerojun48이 arXiv에 게시한 'Spacer: Towards Engineered Scientific Inspiration' 논문에 대한 자세한 리뷰입니다.#Review#Scientific Discovery#Large Language Models (LLMs)#Decontextualization#Keyword Graph#Multi-Agent System#Scientific Ideation#Research Automation#Inspiration Engine2025년 8월 27일댓글 수 로딩 중
[논문리뷰] aiXiv: A Next-Generation Open Access Ecosystem for Scientific Discovery Generated by AI ScientistsHeng Zhang이 arXiv에 게시한 'aiXiv: A Next-Generation Open Access Ecosystem for Scientific Discovery Generated by AI Scientists' 논문에 대한 자세한 리뷰입니다.#Review#AI Agents#Open Access#Scientific Discovery#Peer Review#LLMs#Multi-agent Systems#Prompt Injection#Iterative Refinement2025년 8월 22일댓글 수 로딩 중