Image de couverture de livre

Unveiling the Hidden: Movie Genre and User Bias in Spoiler Detection

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zhang, Haokai, Zhang, Shengtao, Cai, Zijian, Wang, Heng, Zhu, Ruixuan, Zeng, Zinan, Luo, Minnan
Format:	Preprint
Publié:	2025
Sujets:	Information Retrieval Computation and Language
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

MMoE: Robust Spoiler Detection with Multi-modal Information and Domain-aware Mixture-of-Experts
par: Zeng, Zinan, et autres
Publié: (2024)

Predicting Movie Hits Before They Happen with LLMs
par: Agah, Shaghayegh, et autres
Publié: (2025)

Citation Recommendation based on Argumentative Zoning of User Queries
par: Ma, Shutian, et autres
Publié: (2025)

Unveiling the Magic: Investigating Attention Distillation in Retrieval-augmented Generation
par: Li, Zizhong, et autres
Publié: (2024)

Large Language Models as Conversational Movie Recommenders: A User Study
par: Sun, Ruixuan, et autres
Publié: (2024)

Is Semantic Chunking Worth the Computational Cost?
par: Qu, Renyi, et autres
Publié: (2024)

Adaptive Data-Resilient Multi-Modal Hierarchical Multi-Label Book Genre Identification
par: Nareti, Utsav Kumar, et autres
Publié: (2025)

PJB: A Reasoning-Aware Benchmark for Person-Job Retrieval
par: Wang, Guangzhi, et autres
Publié: (2026)

LLM-based Embeddings: Attention Values Encode Sentence Semantics Better Than Hidden States
par: Zhang, Yeqin, et autres
Publié: (2026)

iAgent: LLM Agent as a Shield between User and Recommender Systems
par: Xu, Wujiang, et autres
Publié: (2025)

Towards Fair Rankings: Leveraging LLMs for Gender Bias Detection and Measurement
par: Mousavian, Maryam, et autres
Publié: (2025)

UserGPT Technical Report
par: Xuan, Yunyi, et autres
Publié: (2026)

Exploring the Escalation of Source Bias in User, Data, and Recommender System Feedback Loop
par: Zhou, Yuqi, et autres
Publié: (2024)

Large Language Model Empowered Recommendation Meets All-domain Continual Pre-Training
par: Ma, Haokai, et autres
Publié: (2025)

G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation
par: Li, Yuhan, et autres
Publié: (2025)

Bridging Textual Profiles and Latent User Embeddings for Personalization
par: Tan, Zhaoxuan, et autres
Publié: (2026)

Reformulating Sequential Recommendation: Learning Dynamic User Interest with Content-enriched Language Modeling
par: Jiang, Junzhe, et autres
Publié: (2023)

Hallucination Detection and Evaluation of Large Language Model
par: Zhang, Chenggong, et autres
Publié: (2025)

LLM-ESR: Large Language Models Enhancement for Long-tailed Sequential Recommendation
par: Liu, Qidong, et autres
Publié: (2024)

HetaRAG: Hybrid Deep Retrieval-Augmented Generation across Heterogeneous Data Stores
par: Yan, Guohang, et autres
Publié: (2025)

Planning Ahead in Generative Retrieval: Guiding Autoregressive Generation through Simultaneous Decoding
par: Zeng, Hansi, et autres
Publié: (2024)

ORBIT -- Open Recommendation Benchmark for Reproducible Research with Hidden Tests
par: He, Jingyuan, et autres
Publié: (2025)

An Early FIRST Reproduction and Improvements to Single-Token Decoding for Fast Listwise Reranking
par: Chen, Zijian, et autres
Publié: (2024)

Learning User Interests via Reasoning and Distillation for Cross-Domain News Recommendation
par: Zhu, Mengdan, et autres
Publié: (2026)

Automated Generation of Research Workflows from Academic Papers: A Full-text Mining Framework
par: Zhang, Heng, et autres
Publié: (2025)

Few-Shot Query Intent Detection via Relation-Aware Prompt Learning
par: Zhang, Liang, et autres
Publié: (2025)

Measuring and Addressing Indexical Bias in Information Retrieval
par: Ziems, Caleb, et autres
Publié: (2024)

No Free Lunch: Retrieval-Augmented Generation Undermines Fairness in LLMs, Even for Vigilant Users
par: Hu, Mengxuan, et autres
Publié: (2024)

Aligning Multimodal Sequential Recommendations via Robust Direct Preference Optimization with Sparse MoE
par: Huang, Hejin, et autres
Publié: (2026)

Can Synthetic Query Rewrites Capture User Intent Better than Humans in Retrieval-Augmented Generation?
par: Zheng, JiaYing, et autres
Publié: (2025)

Exposing Product Bias in LLM Investment Recommendation
par: Zhi, Yuhan, et autres
Publié: (2025)

Positional Bias in Long-Document Ranking: Impact, Assessment, and Mitigation
par: Boytsov, Leonid, et autres
Publié: (2022)

Do RAG Systems Really Suffer From Positional Bias?
par: Cuconasu, Florin, et autres
Publié: (2025)

Argument-Centric Causal Intervention Method for Mitigating Bias in Cross-Document Event Coreference Resolution
par: Yao, Long, et autres
Publié: (2025)

Query as Anchor: Scenario-Adaptive User Representation via Large Language Model
par: Yuan, Jiahao, et autres
Publié: (2026)

Enhancing Abstractive Summarization of Scientific Papers Using Structure Information
par: Bao, Tong, et autres
Publié: (2025)

Enhancing Academic Paper Recommendations Using Fine-Grained Knowledge Entities and Multifaceted Document Embeddings
par: Xi, Haixu, et autres
Publié: (2026)

Large Language Model Can Be a Foundation for Hidden Rationale-Based Retrieval
par: Ji, Luo, et autres
Publié: (2024)

Enhancing Document Retrieval in COVID-19 Research: Leveraging Large Language Models for Hidden Relation Extraction
par: Trieu, Hoang-An, et autres
Publié: (2025)

Prompt-Based LLMs for Position Bias-Aware Reranking in Personalized Recommendations
par: Islam, Md Aminul, et autres
Publié: (2025)