Imagen de Portada

Upcycling Candidate Tokens of Large Language Models for Query Expansion

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Kim, Jinseok, Cho, Sukmin, Jeong, Soyeong, Kim, Sangyeop, Cho, Sungzoon
Formato:	Preprint
Publicado:	2025
Materias:	Information Retrieval
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

The RAG Paradox: A Black-Box Attack Exploiting Unintentional Vulnerabilities in Retrieval-Augmented Generation Systems
por: Choi, Chanwoo, et al.
Publicado: (2025)

Database-Augmented Query Representation for Information Retrieval
por: Jeong, Soyeong, et al.
Publicado: (2024)

Measuring Recency Bias In Sequential Recommendation Systems
por: Oh, Jeonglyul, et al.
Publicado: (2024)

EXIT: Context-Aware Extractive Compression for Enhancing Retrieval-Augmented Generation
por: Hwang, Taeho, et al.
Publicado: (2024)

Temporal Information Retrieval via Time-Specifier Model Merging
por: Han, SeungYoon, et al.
Publicado: (2025)

Effects of Vertex Merging & Splitting on Large Coauthorship Networks: A Counterfactual Analysis
por: Kim, Jinseok
Publicado: (2026)

HEISIR: Hierarchical Expansion of Inverted Semantic Indexing for Training-free Retrieval of Conversational Data using LLMs
por: Kim, Sangyeop, et al.
Publicado: (2025)

DALDALL: Data Augmentation for Lexical and Semantic Diverse in Legal Domain by leveraging LLM-Persona
por: Choi, Janghyeok, et al.
Publicado: (2026)

Exploring the Best Practices of Query Expansion with Large Language Models
por: Zhang, Le, et al.
Publicado: (2024)

Knowledge-Aware Query Expansion with Large Language Models for Textual and Relational Retrieval
por: Xia, Yu, et al.
Publicado: (2024)

Query, Decompose, Compress: Structured Query Expansion for Efficient Multi-Hop Retrieval
por: Yun, JungMin, et al.
Publicado: (2026)

Corpus-Steered Query Expansion with Large Language Models
por: Lei, Yibin, et al.
Publicado: (2024)

Query Expansion in the Age of Pre-trained and Large Language Models: A Comprehensive Survey
por: Li, Minghan, et al.
Publicado: (2025)

TCDE: Topic-Centric Dual Expansion of Queries and Documents with Large Language Models for Information Retrieval
por: Yang, Yu, et al.
Publicado: (2025)

LLM-guided Plan and Retrieval: A Strategic Alignment for Interpretable User Satisfaction Estimation in Dialogue
por: Kim, Sangyeop, et al.
Publicado: (2025)

Safe-Embed: Unveiling the Safety-Critical Knowledge of Sentence Encoders
por: Kim, Jinseok, et al.
Publicado: (2024)

Aligned Query Expansion: Efficient Query Expansion for Information Retrieval through LLM Alignment
por: Yang, Adam, et al.
Publicado: (2025)

Ontology-Guided Query Expansion for Biomedical Document Retrieval using Large Language Models
por: Nazi, Zabir Al, et al.
Publicado: (2025)

Chain of Retrieval: Multi-Aspect Iterative Search Expansion and Post-Order Search Aggregation for Full Paper Retrieval
por: Park, Sangwoo, et al.
Publicado: (2025)

MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion
por: Jia, Pengyue, et al.
Publicado: (2023)

CheX-GPT: Harnessing Large Language Models for Enhanced Chest X-ray Report Labeling
por: Gu, Jawook, et al.
Publicado: (2024)

EXPERT: An Explainable Image Captioning Evaluation Metric with Structured Explanations
por: Kim, Hyunjong, et al.
Publicado: (2025)

RRADistill: Distilling LLMs' Passage Ranking Ability for Long-Tail Queries Document Re-Ranking on a Search Engine
por: Choi, Nayoung, et al.
Publicado: (2024)

Event-based Product Carousel Recommendation with Query-Click Graph
por: Ma, Luyi, et al.
Publicado: (2024)

MiLQ: Benchmarking IR Models for Bilingual Web Search with Mixed Language Queries
por: Kim, Jonghwi, et al.
Publicado: (2025)

A Reproducibility and Generalizability Study of Large Language Models for Query Generation
por: Staudinger, Moritz, et al.
Publicado: (2024)

Leveraging Large Language Models for Medical Information Extraction and Query Generation
por: Peikos, Georgios, et al.
Publicado: (2024)

Data Fusion of Synthetic Query Variants With Generative Large Language Models
por: Breuer, Timo
Publicado: (2024)

Multi-intent-aware Session-based Recommendation
por: Choi, Minjin, et al.
Publicado: (2024)

Training Large Recommendation Models via Graph-Language Token Alignment
por: Yang, Mingdai, et al.
Publicado: (2025)

Large Language Model based Long-tail Query Rewriting in Taobao Search
por: Peng, Wenjun, et al.
Publicado: (2023)

Context-Driven Interactive Query Simulations Based on Generative Large Language Models
por: Engelmann, Björn, et al.
Publicado: (2023)

Progressive Query Expansion for Retrieval Over Cost-constrained Data Sources
por: Rashid, Muhammad Shihab, et al.
Publicado: (2024)

Comparative Analysis of Large Language Models in Generating Telugu Responses for Maternal Health Queries
por: Bhanusree, Anagani, et al.
Publicado: (2026)

Enhancing Legal Case Retrieval via Scaling High-quality Synthetic Query-Candidate Pairs
por: Gao, Cheng, et al.
Publicado: (2024)

Optimizing Query Generation for Enhanced Document Retrieval in RAG
por: Koo, Hamin, et al.
Publicado: (2024)

VideoRAG: Retrieval-Augmented Generation over Video Corpus
por: Jeong, Soyeong, et al.
Publicado: (2025)

Lost in Sequence: Do Large Language Models Understand Sequential Recommendation?
por: Kim, Sein, et al.
Publicado: (2025)

Simplified Longitudinal Retrieval Experiments: A Case Study on Query Expansion and Document Boosting
por: Keller, Jüri, et al.
Publicado: (2025)

Personalize Before Retrieve: LLM-based Personalized Query Expansion for User-Centric Retrieval
por: Zhang, Yingyi, et al.
Publicado: (2025)