#Peer Review

12개의 포스트

[논문리뷰] FactReview: Evidence-Grounded Reviews with Literature Positioning and Execution-Based Claim Verification

arXiv에 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 Agent

2026년 4월 7일

[논문리뷰] RbtAct: Rebuttal as Supervision for Actionable Review Feedback Generation

arXiv에 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 Generation

2026년 3월 11일

[논문리뷰] APRES: An Agentic Paper Revision and Evaluation System

arXiv에 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 Communication

2026년 3월 3일

[논문리뷰] HalluCitation Matters: Revealing the Impact of Hallucinated References with 300 Hallucinated Papers in ACL Conferences

Taro 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)#Bibliometrics

2026년 1월 27일

[논문리뷰] Paper2Rebuttal: A Multi-Agent Framework for Transparent Author Response Assistance

arXiv에 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-loop

2026년 1월 21일

[논문리뷰] Insights from the ICLR Peer Review and Rebuttal Process

Nedjma 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 #OpenReview

2025년 11월 23일

[논문리뷰] PRISMM-Bench: A Benchmark of Peer-Review Grounded Multimodal Inconsistencies

James 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 #Reasoning

2025년 10월 22일

[논문리뷰] ReviewerToo: Should AI Join The Program Committee? A Look At The Future of Peer Review

Christopher 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 Metrics

2025년 10월 13일

[논문리뷰] Who's Your Judge? On the Detectability of LLM-Generated Judgments

arXiv에 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 #Evaluation

2025년 10월 1일

[논문리뷰] ReviewScore: Misinformed Peer Review Detection with Large Language Models

arXiv에 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 Evaluation

2025년 9월 29일

[논문리뷰] aiXiv: A Next-Generation Open Access Ecosystem for Scientific Discovery Generated by AI Scientists

Heng 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 Refinement

2025년 8월 22일

[논문리뷰] Position: The Current AI Conference Model is Unsustainable! Diagnosing the Crisis of Centralized AI Conference

Jiaying 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 Model

2025년 8월 7일