Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents
Fuente:
arXiv
Guardado en:
| Autores principales: | Wang, Haoyu, Dai, Sunhao, Zhao, Haiyuan, Pang, Liang, Zhang, Xiao, Wang, Gang, Dong, Zhenhua, Xu, Jun, Wen, Ji-Rong |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration
por: Dai, Sunhao, et al.
Publicado: (2024)
por: Dai, Sunhao, et al.
Publicado: (2024)
Exploring the Escalation of Source Bias in User, Data, and Recommender System Feedback Loop
por: Zhou, Yuqi, et al.
Publicado: (2024)
por: Zhou, Yuqi, et al.
Publicado: (2024)
Length-Induced Embedding Collapse in PLM-based Models
por: Zhou, Yuqi, et al.
Publicado: (2024)
por: Zhou, Yuqi, et al.
Publicado: (2024)
Learning to Retrieve from Agent Trajectories
por: Zhou, Yuqi, et al.
Publicado: (2026)
por: Zhou, Yuqi, et al.
Publicado: (2026)
Bias and Unfairness in Information Retrieval Systems: New Challenges in the LLM Era
por: Dai, Sunhao, et al.
Publicado: (2024)
por: Dai, Sunhao, et al.
Publicado: (2024)
Unbiased Top-k Learning to Rank with Causal Likelihood Decomposition
por: Zhao, Haiyuan, et al.
Publicado: (2022)
por: Zhao, Haiyuan, et al.
Publicado: (2022)
Counteracting Duration Bias in Video Recommendation via Counterfactual Watch Time
por: Zhao, Haiyuan, et al.
Publicado: (2024)
por: Zhao, Haiyuan, et al.
Publicado: (2024)
Neural Retrievers are Biased Towards LLM-Generated Content
por: Dai, Sunhao, et al.
Publicado: (2023)
por: Dai, Sunhao, et al.
Publicado: (2023)
A Survey of Long-Document Retrieval in the PLM and LLM Era
por: Li, Minghan, et al.
Publicado: (2025)
por: Li, Minghan, et al.
Publicado: (2025)
Towards Completeness-Oriented Tool Retrieval for Large Language Models
por: Qu, Changle, et al.
Publicado: (2024)
por: Qu, Changle, et al.
Publicado: (2024)
NExT-Search: Rebuilding User Feedback Ecosystem for Generative AI Search
por: Dai, Sunhao, et al.
Publicado: (2025)
por: Dai, Sunhao, et al.
Publicado: (2025)
Inference Computation Scaling for Feature Augmentation in Recommendation Systems
por: Liu, Weihao, et al.
Publicado: (2025)
por: Liu, Weihao, et al.
Publicado: (2025)
When LLM Judges Inflate Scores: Exploring Overrating in Relevance Assessment
por: Yu, Chuting, et al.
Publicado: (2026)
por: Yu, Chuting, et al.
Publicado: (2026)
CreAgent: Towards Long-Term Evaluation of Recommender System under Platform-Creator Information Asymmetry
por: Ye, Xiaopeng, et al.
Publicado: (2025)
por: Ye, Xiaopeng, et al.
Publicado: (2025)
Efficient and Effective Retrieval of Dense-Sparse Hybrid Vectors using Graph-based Approximate Nearest Neighbor Search
por: Zhang, Haoyu, et al.
Publicado: (2024)
por: Zhang, Haoyu, et al.
Publicado: (2024)
Perplexed by Perplexity: Perplexity-Based Data Pruning With Small Reference Models
por: Ankner, Zachary, et al.
Publicado: (2024)
por: Ankner, Zachary, et al.
Publicado: (2024)
ReCODE: Modeling Repeat Consumption with Neural ODE
por: Dai, Sunhao, et al.
Publicado: (2024)
por: Dai, Sunhao, et al.
Publicado: (2024)
Is Architectural Complexity Overrated? Competitive and Interpretable Knowledge Graph Completion with RelatE
por: Chakraborty, Abhijit, et al.
Publicado: (2025)
por: Chakraborty, Abhijit, et al.
Publicado: (2025)
Rethinking Perplexity: Revealing the Impact of Input Length on Perplexity Evaluation in LLMs
por: Cheng, Letian, et al.
Publicado: (2026)
por: Cheng, Letian, et al.
Publicado: (2026)
HtmlRAG: HTML is Better Than Plain Text for Modeling Retrieved Knowledge in RAG Systems
por: Tan, Jiejun, et al.
Publicado: (2024)
por: Tan, Jiejun, et al.
Publicado: (2024)
UOEP: User-Oriented Exploration Policy for Enhancing Long-Term User Experiences in Recommender Systems
por: Zhang, Changshuo, et al.
Publicado: (2024)
por: Zhang, Changshuo, et al.
Publicado: (2024)
MMSRARec: Summarization and Retrieval Augumented Sequential Recommendation Based on Multimodal Large Language Model
por: Wang, Haoyu, et al.
Publicado: (2025)
por: Wang, Haoyu, et al.
Publicado: (2025)
CART: A Generative Cross-Modal Retrieval Framework with Coarse-To-Fine Semantic Modeling
por: Fang, Minghui, et al.
Publicado: (2024)
por: Fang, Minghui, et al.
Publicado: (2024)
Regret-aware Re-ranking for Guaranteeing Two-sided Fairness and Accuracy in Recommender Systems
por: Ye, Xiaopeng, et al.
Publicado: (2025)
por: Ye, Xiaopeng, et al.
Publicado: (2025)
Guaranteeing Accuracy and Fairness under Fluctuating User Traffic: A Bankruptcy-Inspired Re-ranking Approach
por: Ye, Xiaopeng, et al.
Publicado: (2024)
por: Ye, Xiaopeng, et al.
Publicado: (2024)
Semantics-Aware Denoising: A PLM-Guided Sample Reweighting Strategy for Robust Recommendation
por: Yang, Xikai, et al.
Publicado: (2026)
por: Yang, Xikai, et al.
Publicado: (2026)
Perplexity
por: Mahmoud, Abdalla
Publicado: (2026)
por: Mahmoud, Abdalla
Publicado: (2026)
Perplexed
por: Tarek Zieneldien
Publicado: (2024)
por: Tarek Zieneldien
Publicado: (2024)
Hi-Gen: Generative Retrieval For Large-Scale Personalized E-commerce Search
por: Wu, Yanjing, et al.
Publicado: (2024)
por: Wu, Yanjing, et al.
Publicado: (2024)
KuaiLive: A Real-time Interactive Dataset for Live Streaming Recommendation
por: Qu, Changle, et al.
Publicado: (2025)
por: Qu, Changle, et al.
Publicado: (2025)
REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering
por: Wang, Yuhao, et al.
Publicado: (2024)
por: Wang, Yuhao, et al.
Publicado: (2024)
Revisiting Reciprocal Recommender Systems: Metrics, Formulation, and Method
por: Yang, Chen, et al.
Publicado: (2024)
por: Yang, Chen, et al.
Publicado: (2024)
Effective Knowledge Transfer for Multi-Task Recommendation Models
por: Cai, Guohao, et al.
Publicado: (2026)
por: Cai, Guohao, et al.
Publicado: (2026)
A Contextual-Aware Position Encoding for Sequential Recommendation
por: Yuan, Jun, et al.
Publicado: (2025)
por: Yuan, Jun, et al.
Publicado: (2025)
Enhancing Document Retrieval for Curating N-ary Relations in Knowledge Bases
por: Wang, Xing David, et al.
Publicado: (2025)
por: Wang, Xing David, et al.
Publicado: (2025)
Test-Time Alignment for Tracking User Interest Shifts in Sequential Recommendation
por: Zhang, Changshuo, et al.
Publicado: (2025)
por: Zhang, Changshuo, et al.
Publicado: (2025)
Logic Rules as Explanations for Legal Case Retrieval
por: Sun, Zhongxiang, et al.
Publicado: (2024)
por: Sun, Zhongxiang, et al.
Publicado: (2024)
DiffuGR: Generative Document Retrieval with Diffusion Language Models
por: Zhao, Xinpeng, et al.
Publicado: (2025)
por: Zhao, Xinpeng, et al.
Publicado: (2025)
The Serial Perplex.
por: Blackwell, Maree Macon, et al.
Publicado: (1978)
por: Blackwell, Maree Macon, et al.
Publicado: (1978)
Fishing for Answers: Exploring One-shot vs. Iterative Retrieval Strategies for Retrieval Augmented Generation
por: Lin, Huifeng, et al.
Publicado: (2025)
por: Lin, Huifeng, et al.
Publicado: (2025)
Ejemplares similares
-
Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration
por: Dai, Sunhao, et al.
Publicado: (2024) -
Exploring the Escalation of Source Bias in User, Data, and Recommender System Feedback Loop
por: Zhou, Yuqi, et al.
Publicado: (2024) -
Length-Induced Embedding Collapse in PLM-based Models
por: Zhou, Yuqi, et al.
Publicado: (2024) -
Learning to Retrieve from Agent Trajectories
por: Zhou, Yuqi, et al.
Publicado: (2026) -
Bias and Unfairness in Information Retrieval Systems: New Challenges in the LLM Era
por: Dai, Sunhao, et al.
Publicado: (2024)