[논문리뷰] FactReview: Evidence-Grounded Reviews with Literature Positioning and Execution-Based Claim VerificationarXiv에 게시된 'FactReview: Evidence-Grounded Reviews with Literature Positioning and Execution-Based Claim Verification' 논문에 대한 자세한 리뷰입니다.#Review#Peer Review#Evidence-Grounded#Claim Verification#Reproducibility#LLM Agent2026년 4월 7일댓글 수 로딩 중
[논문리뷰] RbtAct: Rebuttal as Supervision for Actionable Review Feedback GenerationarXiv에 게시된 'RbtAct: Rebuttal as Supervision for Actionable Review Feedback Generation' 논문에 대한 자세한 리뷰입니다.#Review#Peer Review#Rebuttal#Actionable Feedback#Large Language Models (LLMs)#Supervised Fine-tuning (SFT)#Direct Preference Optimization (DPO)#RMR-75K Dataset#Review Feedback Generation2026년 3월 11일댓글 수 로딩 중
[논문리뷰] APRES: An Agentic Paper Revision and Evaluation SystemarXiv에 게시된 'APRES: An Agentic Paper Revision and Evaluation System' 논문에 대한 자세한 리뷰입니다.#Review#Large Language Models#Peer Review#Automated Revision#Citation Prediction#Agentic AI#Rubric Discovery#Scholarly Communication2026년 3월 3일댓글 수 로딩 중
[논문리뷰] HalluCitation Matters: Revealing the Impact of Hallucinated References with 300 Hallucinated Papers in ACL ConferencesTaro Watanabe이 arXiv에 게시한 'HalluCitation Matters: Revealing the Impact of Hallucinated References with 300 Hallucinated Papers in ACL Conferences' 논문에 대한 자세한 리뷰입니다.#Review#Hallucinated Citations#NLP Conferences#Citation Detection#Academic Integrity#Peer Review#Large Language Models (LLMs)#Bibliometrics2026년 1월 27일댓글 수 로딩 중
[논문리뷰] Paper2Rebuttal: A Multi-Agent Framework for Transparent Author Response AssistancearXiv에 게시된 'Paper2Rebuttal: A Multi-Agent Framework for Transparent Author Response Assistance' 논문에 대한 자세한 리뷰입니다.#Review#Multi-Agent Framework#LLM Agents#Peer Review#Rebuttal Generation#Evidence-centric Planning#Transparency#Human-in-the-loop2026년 1월 21일댓글 수 로딩 중
[논문리뷰] Insights from the ICLR Peer Review and Rebuttal ProcessNedjma Ousidhoum이 arXiv에 게시한 'Insights from the ICLR Peer Review and Rebuttal Process' 논문에 대한 자세한 리뷰입니다.#Review#Peer Review#Rebuttal Process#ICLR#Score Dynamics#LLM Analysis#Reviewer Engagement#Academic Publishing#OpenReview2025년 11월 23일댓글 수 로딩 중
[논문리뷰] PRISMM-Bench: A Benchmark of Peer-Review Grounded Multimodal InconsistenciesJames Glass이 arXiv에 게시한 'PRISMM-Bench: A Benchmark of Peer-Review Grounded Multimodal Inconsistencies' 논문에 대한 자세한 리뷰입니다.#Review#Large Multimodal Models (LMMs)#Scientific Document Analysis#Multimodal Inconsistencies#Peer Review#Benchmark#Debiasing#JSON-based Representation#Reasoning2025년 10월 22일댓글 수 로딩 중
[논문리뷰] ReviewerToo: Should AI Join The Program Committee? A Look At The Future of Peer ReviewChristopher Pal이 arXiv에 게시한 'ReviewerToo: Should AI Join The Program Committee? A Look At The Future of Peer Review' 논문에 대한 자세한 리뷰입니다.#Review#Peer Review#AI-Assisted Review#Large Language Models#LLM Agents#Meta-Review#Conference Submissions#Reviewer Personas#Evaluation Metrics2025년 10월 13일댓글 수 로딩 중
[논문리뷰] Who's Your Judge? On the Detectability of LLM-Generated JudgmentsarXiv에 게시된 'Who's Your Judge? On the Detectability of LLM-Generated Judgments' 논문에 대한 자세한 리뷰입니다.#Review#LLM-as-a-judge#Judgment Detection#Bias Quantification#Feature Engineering#Interpretability#Peer Review#AI Ethics#Evaluation2025년 10월 1일댓글 수 로딩 중
[논문리뷰] ReviewScore: Misinformed Peer Review Detection with Large Language ModelsarXiv에 게시된 'ReviewScore: Misinformed Peer Review Detection with Large Language Models' 논문에 대한 자세한 리뷰입니다.#Review#Peer Review#Review Quality#Large Language Models (LLMs)#Misinformed Review#Argument Reconstruction#Factuality Evaluation#Natural Language Processing#Automated Evaluation2025년 9월 29일댓글 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
[논문리뷰] Position: The Current AI Conference Model is Unsustainable! Diagnosing the Crisis of Centralized AI ConferenceJiaying Wu이 arXiv에 게시한 'Position: The Current AI Conference Model is Unsustainable! Diagnosing the Crisis of Centralized AI Conference' 논문에 대한 자세한 리뷰입니다.#Review#AI Conferences#Sustainability#Peer Review#Community Building#Environmental Impact#Mental Health#Centralized Model#Decentralized Model2025년 8월 7일댓글 수 로딩 중