Papers with Code 아카이브
Review Generation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 0
- 보존된 평가 기록
- 0
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
LLM-Based User Simulation for Low-Knowledge Shilling Attacks on Recommender Systems
Patience is all you need! An agentic system for performing scientific literature review
Bridging Social Psychology and LLM Reasoning: Conflict-Aware Meta-Review Generation via Cognitive Alignment
Combining Large Language Models with Static Analyzers for Code Review Generation
Survey on Vision-Language-Action Models
Leveraging Large Language Models for Comparative Literature Summarization with Reflective Incremental Mechanisms
Mixture of Knowledge Minigraph Agents for Literature Review Generation
Deep Transfer Learning Based Peer Review Aggregation and Meta-review Generation for Scientific Articles
HiReview: Hierarchical Taxonomy-Driven Automatic Literature Review Generation
MAPLE: Enhancing Review Generation with Multi-Aspect Prompt LEarning in Explainable Recommendation
Automated Review Generation Method Based on Large Language Models
Review-LLM: Harnessing Large Language Models for Personalized Review Generation
Peer Review as A Multi-Turn and Long-Context Dialogue with Role-Based Interactions
A Sentiment Consolidation Framework for Meta-Review Generation
Reviewer2: Optimizing Review Generation Through Prompt Generation
Can Large Language Model Summarizers Adapt to Diverse Scientific Communication Goals?
MARG: Multi-Agent Review Generation for Scientific Papers
Diffusion-EXR: Controllable Review Generation for Explainable Recommendation via Diffusion Models
Privately Aligning Language Models with Reinforcement Learning
The role of causality in explainable artificial intelligence
Shilling Black-box Review-based Recommender Systems through Fake Review Generation
Scientific Opinion Summarization: Paper Meta-review Generation Dataset, Methods, and Evaluation
SciReviewGen: A Large-scale Dataset for Automatic Literature Review Generation
Summarizing Multiple Documents with Conversational Structure for Meta-Review Generation
Hierarchical Catalogue Generation for Literature Review: A Benchmark
MOPRD: A multidisciplinary open peer review dataset
Investigating Fairness Disparities in Peer Review: A Language Model Enhanced Approach
On Faithfulness and Coherence of Language Explanations for Recommendation Systems
Factual and Informative Review Generation for Explainable Recommendation
Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)
Dynamic Review-based Recommenders
Knowledge-based Review Generation by Coherence Enhanced Text Planning
Can We Automate Scientific Reviewing?
ReviewRobot: Explainable Paper Review Generation based on Knowledge Synthesis
Knowledge-Enhanced Personalized Review Generation with Capsule Graph Neural Network
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.