Papers Review Generation
“Review Generation” 태그가 달린 논문 51편 · 필터 해제
AutoRev: Automatic Peer Review System for Academic Research Papers
Generating a review for an academic research paper is a complex task that requires a deep understanding of the document's content and the interdependencies between its sections. It demands not only insight into technical…
Question AnsweringReview GenerationLLM-Based User Simulation for Low-Knowledge Shilling Attacks on Recommender Systems
Recommender systems (RS) are increasingly vulnerable to shilling attacks, where adversaries inject fake user profiles to manipulate system outputs. Traditional attack strategies often rely on simplistic heuristics, requi…
Language ModelingLanguage ModellingLarge Language ModelRecommendation Systems+2Patience is all you need! An agentic system for performing scientific literature review
Large language models (LLMs) have grown in their usage to provide support for question answering across numerous disciplines. The models on their own have already shown promise for answering basic questions, however fail…
AllArticlesQuestion AnsweringRetrieval+1Bridging Social Psychology and LLM Reasoning: Conflict-Aware Meta-Review Generation via Cognitive Alignment
The rapid growth of scholarly submissions has overwhelmed traditional peer review systems, driving the need for intelligent automation to preserve scientific rigor. While large language models (LLMs) show promise in auto…
Review GenerationCombining Large Language Models with Static Analyzers for Code Review Generation
Code review is a crucial but often complex, subjective, and time-consuming activity in software development. Over the past decades, significant efforts have been made to automate this process. Early approaches focused on…
RAGRetrieval-augmented GenerationReview GenerationSurvey on Vision-Language-Action Models
This paper presents an AI-generated review of Vision-Language-Action (VLA) models, summarizing key methodologies, findings, and future directions. The content is produced using large language models (LLMs) and is intende…
Review GenerationSurveyVision-Language-ActionLeveraging Large Language Models for Comparative Literature Summarization with Reflective Incremental Mechanisms
In this paper, we introduce ChatCite, a novel method leveraging large language models (LLMs) for generating comparative literature summaries. The ability to summarize research papers with a focus on key comparisons betwe…
Review GenerationMixture of Knowledge Minigraph Agents for Literature Review Generation
Literature reviews play a crucial role in scientific research for understanding the current state of research, identifying gaps, and guiding future studies on specific topics. However, the process of conducting a compreh…
Review GenerationDeep Transfer Learning Based Peer Review Aggregation and Meta-review Generation for Scientific Articles
Peer review is the quality assessment of a manuscript by one or more peer experts. Papers are submitted by the authors to scientific venues, and these papers must be reviewed by peers or other authors. The meta-reviewers…
ArticlesReview GenerationTransfer LearningHiReview: Hierarchical Taxonomy-Driven Automatic Literature Review Generation
In this work, we present HiReview, a novel framework for hierarchical taxonomy-driven automatic literature review generation. With the exponential growth of academic documents, manual literature reviews have become incre…
ClusteringReview GenerationMAPLE: Enhancing Review Generation with Multi-Aspect Prompt LEarning in Explainable Recommendation
Explainable Recommendation task is designed to receive a pair of user and item and output explanations to justify why an item is recommended to a user. Many models treat review-generation as a proxy of explainable recomm…
DiversityExplainable RecommendationHallucinationLanguage Modeling+5Automated Review Generation Method Based on Large Language Models
Literature research, vital for scientific work, faces the challenge of surging information volumes exceeding researchers' processing capabilities. We present an automated review generation method based on large language …
ArticlesHallucinationReview GenerationReview-LLM: Harnessing Large Language Models for Personalized Review Generation
Product review generation is an important task in recommender systems, which could provide explanation and persuasiveness for the recommendation. Recently, Large Language Models (LLMs, e.g., ChatGPT) have shown superior …
PersuasivenessRecommendation SystemsReview GenerationPeer Review as A Multi-Turn and Long-Context Dialogue with Role-Based Interactions
Large Language Models (LLMs) have demonstrated wide-ranging applications across various fields and have shown significant potential in the academic peer-review process. However, existing applications are primarily limite…
Review GenerationA Sentiment Consolidation Framework for Meta-Review Generation
Modern natural language generation systems with Large Language Models (LLMs) exhibit the capability to generate a plausible summary of multiple documents; however, it is uncertain if they truly possess the capability of …
Review GenerationText GenerationReviewer2: Optimizing Review Generation Through Prompt Generation
Recent developments in LLMs offer new opportunities for assisting authors in improving their work. In this paper, we envision a use case where authors can receive LLM-generated reviews that uncover weak points in the cur…
Review GenerationCan Large Language Model Summarizers Adapt to Diverse Scientific Communication Goals?
In this work, we investigate the controllability of large language models (LLMs) on scientific summarization tasks. We identify key stylistic and content coverage factors that characterize different types of summaries su…
Language ModelingLanguage ModellingLarge Language ModelReview GenerationMARG: Multi-Agent Review Generation for Scientific Papers
We study the ability of LLMs to generate feedback for scientific papers and develop MARG, a feedback generation approach using multiple LLM instances that engage in internal discussion. By distributing paper text across …
Review GenerationSpecificityDiffusion-EXR: Controllable Review Generation for Explainable Recommendation via Diffusion Models
Denoising Diffusion Probabilistic Model (DDPM) has shown great competence in image and audio generation tasks. However, there exist few attempts to employ DDPM in the text generation, especially review generation under r…
Audio GenerationDenoisingExplainable RecommendationRecommendation Systems+3Privately Aligning Language Models with Reinforcement Learning
Positioned between pre-training and user deployment, aligning large language models (LLMs) through reinforcement learning (RL) has emerged as a prevailing strategy for training instruction following-models such as ChatGP…
Instruction FollowingPrivacy Preservingreinforcement-learningReinforcement Learning+2