Imagen de Portada

Improving Scientific Document Retrieval with Academic Concept Index

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Lee, Jeyun, Lee, Junhyoung, Kweon, Wonbin, Jin, Bowen, Zhang, Yu, Yoon, Susik, Lee, Dongha, Yu, Hwanjo, Han, Jiawei, Kang, Seongku
Formato:	Preprint
Publicado:	2026
Materias:	Information Retrieval Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Improving Scientific Document Retrieval with Concept Coverage-based Query Set Generation
por: Kang, SeongKu, et al.
Publicado: (2025)

PairSem: LLM-Guided Pairwise Semantic Matching for Scientific Document Retrieval
por: Kweon, Wonbin, et al.
Publicado: (2025)

Improving Retrieval in Theme-specific Applications using a Corpus Topical Taxonomy
por: Kang, SeongKu, et al.
Publicado: (2024)

Continual Collaborative Distillation for Recommender System
por: Lee, Gyuseok, et al.
Publicado: (2024)

Doubly Calibrated Estimator for Recommendation on Data Missing Not At Random
por: Kweon, Wonbin, et al.
Publicado: (2024)

Taxonomy-guided Semantic Indexing for Academic Paper Search
por: Kang, SeongKu, et al.
Publicado: (2024)

Why These Documents? Explainable Generative Retrieval with Hierarchical Category Paths
por: Lee, Sangam, et al.
Publicado: (2024)

Controlling Diversity at Inference: Guiding Diffusion Recommender Models with Targeted Category Preferences
por: Han, Gwangseok, et al.
Publicado: (2024)

Personalized Federated Recommendation With Knowledge Guidance
por: Lim, Jaehyung, et al.
Publicado: (2025)

Top-Personalized-K Recommendation
por: Kweon, Wonbin, et al.
Publicado: (2024)

Deep Rating Elicitation for New Users in Collaborative Filtering
por: Kweon, Wonbin, et al.
Publicado: (2024)

Uncertainty Quantification and Decomposition for LLM-based Recommendation
por: Kweon, Wonbin, et al.
Publicado: (2025)

SPRINT: Scalable and Predictive Intent Refinement for LLM-Enhanced Session-based Recommendation
por: Lee, Gyuseok, et al.
Publicado: (2025)

BPL: Bias-adaptive Preference Distillation Learning for Recommender System
por: Kang, SeongKu, et al.
Publicado: (2025)

Confidence Calibration for Recommender Systems and Its Applications
por: Kweon, Wonbin
Publicado: (2024)

Imagine All The Relevance: Scenario-Profiled Indexing with Knowledge Expansion for Dense Retrieval
por: Lee, Sangam, et al.
Publicado: (2025)

CREAM: Continual Retrieval on Dynamic Streaming Corpora with Adaptive Soft Memory
por: Son, HuiJeong, et al.
Publicado: (2026)

Towards Unified and Adaptive Cross-Domain Collaborative Filtering via Graph Signal Processing
por: Lee, Jeongeun, et al.
Publicado: (2024)

Multi-Domain Recommendation to Attract Users via Domain Preference Modeling
por: Ju, Hyunjun, et al.
Publicado: (2024)

CoRank: LLM-Based Compact Reranking with Document Features for Scientific Retrieval
por: Tian, Runchu, et al.
Publicado: (2025)

Federated Continual Recommendation
por: Lim, Jaehyung, et al.
Publicado: (2025)

MUDY: Multi-Granular Dynamic Candidate Contextualization for Unsupervised Keyphrase Extraction
por: Kang, Hyeongu, et al.
Publicado: (2026)

Capturing User Interests from Data Streams for Continual Sequential Recommendation
por: Lee, Gyuseok, et al.
Publicado: (2025)

Filling the Gaps: Selective Knowledge Augmentation for LLM Recommenders
por: Lee, Jaehyun, et al.
Publicado: (2026)

Offline Reasoning for Efficient Recommendation: LLM-Empowered Persona-Profiled Item Indexing
por: Kim, Deogyong, et al.
Publicado: (2026)

VLM2Rec: Resolving Modality Collapse in Vision-Language Model Embedders for Multimodal Sequential Recommendation
por: Kim, Junyoung, et al.
Publicado: (2026)

Towards Personalized Conversational Sales Agents: Contextual User Profiling for Strategic Action
por: Kim, Tongyoung, et al.
Publicado: (2025)

Collaborative Diffusion Model for Recommender System
por: Lee, Gyuseok, et al.
Publicado: (2025)

MVIGER: Multi-View Variational Integration of Complementary Knowledge for Generative Recommender
por: Kim, Tongyoung, et al.
Publicado: (2024)

GLEN: Generative Retrieval via Lexical Index Learning
por: Lee, Sunkyung, et al.
Publicado: (2023)

Subtraction Gets You More: Gap-Aware Retrieval for Multimodal Multi-Hop QA
por: O, Sunah, et al.
Publicado: (2026)

LLM Alignment as Retriever Optimization: An Information Retrieval Perspective
por: Jin, Bowen, et al.
Publicado: (2025)

BESPOKE: Benchmark for Search-Augmented Large Language Model Personalization via Diagnostic Feedback
por: Kim, Hyunseo, et al.
Publicado: (2025)

CASPER: Concept-integrated Sparse Representation for Scientific Retrieval
por: Do, Lam Thanh, et al.
Publicado: (2025)

Fusion-in-T5: Unifying Document Ranking Signals for Improved Information Retrieval
por: Yu, Shi, et al.
Publicado: (2023)

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

Adaptive Retrieval for Reasoning-Intensive Retrieval
por: Kim, Jongho, et al.
Publicado: (2026)

IterCQR: Iterative Conversational Query Reformulation with Retrieval Guidance
por: Jang, Yunah, et al.
Publicado: (2023)

A Gradient Accumulation Method for Dense Retriever under Memory Constraint
por: Kim, Jaehee, et al.
Publicado: (2024)

Is Position Bias in Dense Retrievers Built In-or Learned from Data?
por: Yu, Daegon, et al.
Publicado: (2026)