Image de couverture de livre

From Unstructured to Structured: LLM-Guided Attribute Graphs for Entity Search and Ranking

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zhu, Yilun, Vedula, Nikhita, Malmasi, Shervin
Format:	Preprint
Publié:	2026
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

Hint-Augmented Re-ranking: Efficient Product Search using LLM-Based Query Decomposition
par: Zhu, Yilun, et autres
Publié: (2025)

Generative Product Recommendations for Implicit Superlative Queries
par: Dhole, Kaustubh D., et autres
Publié: (2025)

Bridging the Gap Between Information Seeking and Product Search Systems: Q&A Recommendation for E-commerce
par: Kuzi, Saar, et autres
Publié: (2024)

Breaking the Autoregressive Chain: Hyper-Parallel Decoding for Efficient LLM-Based Attribute Value Extraction
par: Glavas, Theodore, et autres
Publié: (2026)

Identifying High Consideration E-Commerce Search Queries
par: Chen, Zhiyu, et autres
Publié: (2024)

Question Suggestion for Conversational Shopping Assistants Using Product Metadata
par: Vedula, Nikhita, et autres
Publié: (2024)

A Modular LLM Framework for Explainable Price Outlier Detection
par: Sartipi, Shadi, et autres
Publié: (2026)

Unstructured Evidence Attribution for Long Context Query Focused Summarization
par: Wright, Dustin, et autres
Publié: (2025)

REGENT: Relevance-Guided Attention for Entity-Aware Multi-Vector Neural Re-Ranking
par: Chatterjee, Shubham
Publié: (2025)

SRAG: Structured Retrieval-Augmented Generation for Multi-Entity Question Answering over Wikipedia Graph
par: Lin, Teng, et autres
Publié: (2025)

Leveraging Interesting Facts to Enhance User Engagement with Conversational Interfaces
par: Vedula, Nikhita, et autres
Publié: (2024)

Disease Identification From Unstructured User Input
par: Faisal, Fahim, et autres
Publié: (2019)

Block-Diagonal Orthogonal Relation and Matrix Entity for Knowledge Graph Embedding
par: Zhu, Yihua, et autres
Publié: (2024)

LimRank: Less is More for Reasoning-Intensive Information Reranking
par: Song, Tingyu, et autres
Publié: (2025)

Conversational Search: From Fundamentals to Frontiers in the LLM Era
par: Mo, Fengran, et autres
Publié: (2025)

QDER: Query-Specific Document and Entity Representations for Multi-Vector Document Re-Ranking
par: Chatterjee, Shubham, et autres
Publié: (2025)

Towards Self-Contained Answers: Entity-Based Answer Rewriting in Conversational Search
par: Sekulić, Ivan, et autres
Publié: (2024)

Controlling Output Rankings in Generative Engines for LLM-based Search
par: Jin, Haibo, et autres
Publié: (2026)

From Retrieval to Generation: Efficient and Effective Entity Set Expansion
par: Huang, Shulin, et autres
Publié: (2023)

Entity Retrieval for Answering Entity-Centric Questions
par: Shavarani, Hassan S., et autres
Publié: (2024)

Entity Disambiguation via Fusion Entity Decoding
par: Wang, Junxiong, et autres
Publié: (2024)

Instant Answering in E-Commerce Buyer-Seller Messaging using Message-to-Question Reformulation
par: Fetahu, Besnik, et autres
Publié: (2024)

Scientific Paper Retrieval with LLM-Guided Semantic-Based Ranking
par: Zhang, Yunyi, et autres
Publié: (2025)

From Isolated Scoring to Collaborative Ranking: A Comparison-Native Framework for LLM-Based Paper Evaluation
par: Zheng, Pujun, et autres
Publié: (2026)

Rethinking Reasoning-Intensive Retrieval: Evaluating and Advancing Retrievers in Agentic Search Systems
par: Zhao, Yilun, et autres
Publié: (2026)

A Trio Neural Model for Dynamic Entity Relatedness Ranking
par: Nguyen, Tu, et autres
Publié: (2018)

CoRanking: Collaborative Ranking with Small and Large Ranking Agents
par: Liu, Wenhan, et autres
Publié: (2025)

SAFE: Improving LLM Systems using Sentence-Level In-generation Attribution
par: Batista, João Eduardo, et autres
Publié: (2025)

BeLink: Biomedical Entity Linking Meets Generative Re-Ranking
par: Shlyk, Darya, et autres
Publié: (2026)

DemoRank: Selecting Effective Demonstrations for Large Language Models in Ranking Task
par: Liu, Wenhan, et autres
Publié: (2024)

Best Practices for Distilling Large Language Models into BERT for Web Search Ranking
par: Ye, Dezhi, et autres
Publié: (2024)

Quantile Regression with Large Language Models for Price Prediction
par: Vedula, Nikhita, et autres
Publié: (2025)

Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents
par: Sun, Weiwei, et autres
Publié: (2023)

LLM-RankFusion: Mitigating Intrinsic Inconsistency in LLM-based Ranking
par: Zeng, Yifan, et autres
Publié: (2024)

CoRank: LLM-Based Compact Reranking with Document Features for Scientific Retrieval
par: Tian, Runchu, et autres
Publié: (2025)

Aug2Search: Enhancing Facebook Marketplace Search with LLM-Generated Synthetic Data Augmentation
par: Xi, Ruijie, et autres
Publié: (2025)

STRUM-LLM: Attributed and Structured Contrastive Summarization
par: Gunel, Beliz, et autres
Publié: (2024)

KGMEL: Knowledge Graph-Enhanced Multimodal Entity Linking
par: Kim, Juyeon, et autres
Publié: (2025)

Towards a Search Engine for Machines: Unified Ranking for Multiple Retrieval-Augmented Large Language Models
par: Salemi, Alireza, et autres
Publié: (2024)

RUST-BENCH: Benchmarking LLM Reasoning on Unstructured Text within Structured Tables
par: Abhyankar, Nikhil, et autres
Publié: (2025)