Imagen de Portada

Reverse-Engineering the Retrieval Process in GenIR Models

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Reusch, Anja, Belinkov, Yonatan
Formato:	Preprint
Publicado:	2025
Materias:	Information Retrieval H.3.3
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

A Voronoi Cell Formulation for Principled Token Pruning in Late-Interaction Retrieval Models
por: Kankanampati, Yash, et al.
Publicado: (2026)

Information Retrieval for Climate Impact
por: de Rijke, Maarten, et al.
Publicado: (2025)

AmharicIR+Instr: A Two-Dataset Resource for Neural Retrieval and Instruction Tuning
por: Yeshambel, Tilahun, et al.
Publicado: (2026)

Relevance Filtering for Embedding-based Retrieval
por: Rossi, Nicholas, et al.
Publicado: (2024)

An Intrinsic Framework of Information Retrieval Evaluation Measures
por: Giner, Fernando
Publicado: (2023)

Enhancing Relevance of Embedding-based Retrieval at Walmart
por: Lin, Juexin, et al.
Publicado: (2024)

Improving E-commerce Search with Category-Aligned Retrieval
por: Aliev, Rauf
Publicado: (2025)

Dynamic Superblock Pruning for Fast Learned Sparse Retrieval
por: Carlson, Parker, et al.
Publicado: (2025)

MIRA: An LLM-Assisted Benchmark for Multi-Category Integrated Retrieval
por: Türkmen, Mehmet Deniz, et al.
Publicado: (2026)

ESANS: Effective and Semantic-Aware Negative Sampling for Large-Scale Retrieval Systems
por: Xing, Haibo, et al.
Publicado: (2025)

Response Quality Assessment for Retrieval-Augmented Generation via Conditional Conformal Factuality
por: Feng, Naihe, et al.
Publicado: (2025)

Beyond the Geometric Curse: High-Dimensional N-Gram Hashing for Dense Retrieval
por: Sharma, Sangeet
Publicado: (2026)

CSMF: Cascaded Selective Mask Fine-Tuning for Multi-Objective Embedding-Based Retrieval
por: Deng, Hao, et al.
Publicado: (2025)

Value Function Decomposition in Markov Recommendation Process
por: Wang, Xiaobei, et al.
Publicado: (2025)

RAD-DPO: Robust Adaptive Denoising Direct Preference Optimization for Generative Retrieval in E-commerce
por: Chen, Zhiguo, et al.
Publicado: (2026)

KamerRaad: Enhancing Information Retrieval in Belgian National Politics through Hierarchical Summarization and Conversational Interfaces
por: Rogiers, Alexander, et al.
Publicado: (2024)

Selective Query Processing: a Risk-Sensitive Selection of System Configurations
por: Mothe, Josiane, et al.
Publicado: (2023)

Doc2Query++: Topic-Coverage based Document Expansion and its Application to Dense Retrieval via Dual-Index Fusion
por: Kuo, Tzu-Lin, et al.
Publicado: (2025)

Diagnosing LLM-based Rerankers in Cold-Start Recommender Systems: Coverage, Exposure and Practical Mitigations
por: Lemdiasova, Ekaterina, et al.
Publicado: (2026)

The Layout Is the Model: On Action-Item Coupling in Generative Recommendation
por: Wei, Xiaokai, et al.
Publicado: (2025)

Text-like Encoding of Collaborative Information in Large Language Models for Recommendation
por: Zhang, Yang, et al.
Publicado: (2024)

Formalized Information Needs Improve Large-Language-Model Relevance Judgments
por: Keller, Jüri, et al.
Publicado: (2026)

FIM: Frequency-Aware Multi-View Interest Modeling for Local-Life Service Recommendation
por: Wang, Guoquan, et al.
Publicado: (2025)

Multi-Granularity Distribution Modeling for Video Watch Time Prediction via Exponential-Gaussian Mixture Network
por: Zhao, Xu, et al.
Publicado: (2025)

Multi-stage Large Language Model Pipelines Can Outperform GPT-4o in Relevance Assessment
por: Schnabel, Julian A., et al.
Publicado: (2025)

CreAgent: Towards Long-Term Evaluation of Recommender System under Platform-Creator Information Asymmetry
por: Ye, Xiaopeng, et al.
Publicado: (2025)

HeterRec: Heterogeneous Information Transformer for Scalable Sequential Recommendation
por: Deng, Hao, et al.
Publicado: (2025)

Comprehensive List Generation for Multi-Generator Reranking
por: Yang, Hailan, et al.
Publicado: (2025)

LLM-based Query Expansion Fails for Unfamiliar and Ambiguous Queries
por: Abe, Kenya, et al.
Publicado: (2025)

LLM-Evaluation Tropes: Perspectives on the Validity of LLM-Evaluations
por: Dietz, Laura, et al.
Publicado: (2025)

JointRank: Rank Large Set with Single Pass
por: Dedov, Evgeny
Publicado: (2025)

PUB: An LLM-Enhanced Personality-Driven User Behaviour Simulator for Recommender System Evaluation
por: Ma, Chenglong, et al.
Publicado: (2025)

Evaluating Contrastive Feedback for Effective User Simulations
por: Kruff, Andreas Konstantin, et al.
Publicado: (2025)

Online Item Cold-Start Recommendation with Popularity-Aware Meta-Learning
por: Luo, Yunze, et al.
Publicado: (2024)

Exploring Content-Based and Meta-Data Analysis for Detecting Fake News Infodemic: A case study on COVID-19
por: Ajao, Oluwaseun, et al.
Publicado: (2024)

Content-Aware Tweet Location Inference using Quadtree Spatial Partitioning and Jaccard-Cosine Word Embedding
por: Ajao, Oluwaseun, et al.
Publicado: (2024)

ColBERT's [MASK]-based Query Augmentation: Effects of Quadrupling the Query Input Length
por: Giacalone, Ben, et al.
Publicado: (2024)

Cluster-based Graph Collaborative Filtering
por: Liu, Fan, et al.
Publicado: (2024)

Hyena Operator for Fast Sequential Recommendation
por: Liu, Jiahao, et al.
Publicado: (2026)

Graph Reasoning for Explainable Cold Start Recommendation
por: Frej, Jibril, et al.
Publicado: (2024)