https://github.com/CogComp/iclr_database
공식 코드Investigating Fairness Disparities in Peer Review: A Language Model Enhanced Approach
Papers with Code 아카이브
Review Generation
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Crista23/JudgeTheJudges
공식 코드https://github.com/EagleW/ReviewRobot
공식 코드ReviewRobot: Explainable Paper Review Generation based on Knowledge Synthesis
https://github.com/allenai/marg-reviewer
공식 코드https://github.com/chengtan9907/reviewmt
공식 코드Peer Review as A Multi-Turn and Long-Context Dialogue with Role-Based Interactions
https://github.com/imenjaoua/hybrid-code-review
공식 코드Combining Large Language Models with Static Analyzers for Code Review Generation
https://github.com/ixlan/CopyCat-abstractive-opinion-summarizer
공식 코드Unsupervised Opinion Summarization as Copycat-Review Generation
https://github.com/jeykigung/P5
공식 코드https://github.com/lancopku/DPGAN
공식 코드https://github.com/mankeerat/orsum-meta-review-generation
공식 코드Scientific Opinion Summarization: Paper Meta-review Generation Dataset, Methods, and Evaluation
https://github.com/neulab/ReviewAdvisor
공식 코드https://github.com/oaimli/metareviewinglogic
공식 코드A Sentiment Consolidation Framework for Meta-Review Generation
https://github.com/oaimli/peersum
공식 코드Summarizing Multiple Documents with Conversational Structure for Meta-Review Generation
https://github.com/tetsu9923/scireviewgen
공식 코드SciReviewGen: A Large-scale Dataset for Automatic Literature Review Generation
https://github.com/tju-ecat-ai/automaticreviewgeneration
공식 코드Automated Review Generation Method Based on Large Language Models
https://github.com/turboLJY/CapsGNN-Review-Generation
공식 코드Knowledge-Enhanced Personalized Review Generation with Capsule Graph Neural Network
https://github.com/turboLJY/Coarse-to-Fine-Review-Generation
공식 코드Generating Long and Informative Reviews with Aspect-Aware Coarse-to-Fine Decoding
https://github.com/zhukun1020/hicad
공식 코드Hierarchical Catalogue Generation for Literature Review: A Benchmark
https://github.com/AIJoris/DPAC-DialogueGAN
https://github.com/abrazinskas/Copycat-abstractive-opinion-summarizer
Unsupervised Opinion Summarization as Copycat-Review Generation
https://github.com/agiresearch/openp5
https://github.com/jsbaan/DPAC-DialogueGAN
https://github.com/maria-liakata-nlp-group/wassos
Unsupervised Opinion Summarization as Copycat-Review Generation
https://github.com/zhaolingao/reviewer2
Reviewer2: Optimizing Review Generation Through Prompt Generation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.