DualView: Adaptive Local-Global Fusion for Multi-Hop Document Reranking
Fuente:
arXiv
Guardado en:
| Autores principales: | Zhang, Litong, Li, Jiaxin, Zhao, Kuo |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
GRADA: Graph-based Reranking against Adversarial Documents Attack
por: Zheng, Jingjie, et al.
Publicado: (2025)
por: Zheng, Jingjie, et al.
Publicado: (2025)
DTKG: Dual-Track Knowledge Graph-Verified Reasoning Framework for Multi-Hop QA
por: Wang, Changhao, et al.
Publicado: (2025)
por: Wang, Changhao, et al.
Publicado: (2025)
Adaptive Multi-Agent Reasoning for Text-to-Video Retrieval
por: Wu, Jiaxin, et al.
Publicado: (2025)
por: Wu, Jiaxin, et al.
Publicado: (2025)
E2Rank: Your Text Embedding can Also be an Effective and Efficient Listwise Reranker
por: Liu, Qi, et al.
Publicado: (2025)
por: Liu, Qi, et al.
Publicado: (2025)
Non-autoregressive Generative Models for Reranking Recommendation
por: Ren, Yuxin, et al.
Publicado: (2024)
por: Ren, Yuxin, et al.
Publicado: (2024)
Optimizing Multi-Hop Document Retrieval Through Intermediate Representations
por: Lin, Jiaen, et al.
Publicado: (2025)
por: Lin, Jiaen, et al.
Publicado: (2025)
FinCARDS: Card-Based Analyst Reranking for Financial Document Question Answering
por: Zhou, Yixi, et al.
Publicado: (2026)
por: Zhou, Yixi, et al.
Publicado: (2026)
Efficient Personalized Reranking with Semi-Autoregressive Generation and Online Knowledge Distillation
por: Cheng, Kai, et al.
Publicado: (2026)
por: Cheng, Kai, et al.
Publicado: (2026)
GReF: A Unified Generative Framework for Efficient Reranking via Ordered Multi-token Prediction
por: Lin, Zhijie, et al.
Publicado: (2025)
por: Lin, Zhijie, et al.
Publicado: (2025)
RRRA: Resampling and Reranking through a Retriever Adapter
por: Kim, Bongsu
Publicado: (2025)
por: Kim, Bongsu
Publicado: (2025)
MMBee: Live Streaming Gift-Sending Recommendations via Multi-Modal Fusion and Behaviour Expansion
por: Deng, Jiaxin, et al.
Publicado: (2024)
por: Deng, Jiaxin, et al.
Publicado: (2024)
RALLM-POI: Retrieval-Augmented LLM for Zero-shot Next POI Recommendation with Geographical Reranking
por: Li, Kunrong, et al.
Publicado: (2025)
por: Li, Kunrong, et al.
Publicado: (2025)
QBD-RankedDataGen: Generating Custom Ranked Datasets for Improving Query-By-Document Search Using LLM-Reranking with Reduced Human Effort
por: Gopalakrishnan, Sriram, et al.
Publicado: (2025)
por: Gopalakrishnan, Sriram, et al.
Publicado: (2025)
Agentic RAG with Knowledge Graphs for Complex Multi-Hop Reasoning in Real-World Applications
por: Lelong, Jean, et al.
Publicado: (2025)
por: Lelong, Jean, et al.
Publicado: (2025)
NLGR: Utilizing Neighbor Lists for Generative Rerank in Personalized Recommendation Systems
por: Wang, Shuli, et al.
Publicado: (2025)
por: Wang, Shuli, et al.
Publicado: (2025)
Calibration-Disentangled Learning and Relevance-Prioritized Reranking for Calibrated Sequential Recommendation
por: Jeon, Hyunsik, et al.
Publicado: (2024)
por: Jeon, Hyunsik, et al.
Publicado: (2024)
HeadRank: Decoding-Free Passage Reranking via Preference-Aligned Attention Heads
por: Wang, Juyuan, et al.
Publicado: (2026)
por: Wang, Juyuan, et al.
Publicado: (2026)
OPERA: A Reinforcement Learning--Enhanced Orchestrated Planner-Executor Architecture for Reasoning-Oriented Multi-Hop Retrieval
por: Liu, Yu, et al.
Publicado: (2025)
por: Liu, Yu, et al.
Publicado: (2025)
PankRAG: Enhancing Graph Retrieval via Globally Aware Query Resolution and Dependency-Aware Reranking Mechanism
por: Li, Ningyuan, et al.
Publicado: (2025)
por: Li, Ningyuan, et al.
Publicado: (2025)
DeGRe: Dense-supervised Generative Reranking for Recommendation
por: Song, Chaotian, et al.
Publicado: (2026)
por: Song, Chaotian, et al.
Publicado: (2026)
StratRAG: A Multi-Hop Retrieval Evaluation Dataset for Retrieval-Augmented Generation Systems
por: Patodiya, Aryan
Publicado: (2026)
por: Patodiya, Aryan
Publicado: (2026)
Beyond Reproducibility: Advancing Zero-shot LLM Reranking Efficiency with Setwise Insertion
por: Podolak, Jakub, et al.
Publicado: (2025)
por: Podolak, Jakub, et al.
Publicado: (2025)
Evaluating Multi-Hop Reasoning in RAG Systems: A Comparison of LLM-Based Retriever Evaluation Strategies
por: Brehme, Lorenz, et al.
Publicado: (2026)
por: Brehme, Lorenz, et al.
Publicado: (2026)
MHTS: Multi-Hop Tree Structure Framework for Generating Difficulty-Controllable QA Datasets for RAG Evaluation
por: Lee, Jeongsoo, et al.
Publicado: (2025)
por: Lee, Jeongsoo, et al.
Publicado: (2025)
Beyond Single-Score Ranking: Facet-Aware Reranking for Controllable Diversity in Paper Recommendation
por: Tao, Duan Ming
Publicado: (2026)
por: Tao, Duan Ming
Publicado: (2026)
UniRank: End-to-End Domain-Specific Reranking of Hybrid Text-Image Candidates
por: Yang, Yupei, et al.
Publicado: (2026)
por: Yang, Yupei, et al.
Publicado: (2026)
The Evolution of Reranking Models in Information Retrieval: From Heuristic Methods to Large Language Models
por: Pandit, Tejul, et al.
Publicado: (2025)
por: Pandit, Tejul, et al.
Publicado: (2025)
Why not Collaborative Filtering in Dual View? Bridging Sparse and Dense Models
por: Guo, Hanze, et al.
Publicado: (2026)
por: Guo, Hanze, et al.
Publicado: (2026)
InfoGain-RAG: Boosting Retrieval-Augmented Generation via Document Information Gain-based Reranking and Filtering
por: Wang, Zihan, et al.
Publicado: (2025)
por: Wang, Zihan, et al.
Publicado: (2025)
ResRank: Unifying Retrieval and Listwise Reranking via End-to-End Joint Training with Residual Passage Compression
por: Ke, Xiaojie, et al.
Publicado: (2026)
por: Ke, Xiaojie, et al.
Publicado: (2026)
EviRerank: Adaptive Evidence Construction for Long-Document LLM Reranking
por: Li, Minghan, et al.
Publicado: (2024)
por: Li, Minghan, et al.
Publicado: (2024)
Does Reasoning Make Search More Fair? Comparing Fairness in Reasoning and Non-Reasoning Rerankers
por: Samuel, Saron, et al.
Publicado: (2026)
por: Samuel, Saron, et al.
Publicado: (2026)
Ocean4Rec: Offline LLM-Derived OCEAN Profiles for Request-Time VOD Reranking
por: Kim, Wonkyun, et al.
Publicado: (2026)
por: Kim, Wonkyun, et al.
Publicado: (2026)
L2Rec: Towards Dual-View Understanding of LLMs for Personalized Recommendation
por: Pan, Pingjun, et al.
Publicado: (2026)
por: Pan, Pingjun, et al.
Publicado: (2026)
Test-Time Training for Zero-Resource Dense Retrieval Reranking
por: Liu, Shiyan, et al.
Publicado: (2026)
por: Liu, Shiyan, et al.
Publicado: (2026)
Hierarchical Lexical Graph for Enhanced Multi-Hop Retrieval
por: Ghassel, Abdellah, et al.
Publicado: (2025)
por: Ghassel, Abdellah, et al.
Publicado: (2025)
OSCAR: Online Soft Compression And Reranking
por: Louis, Maxime, et al.
Publicado: (2025)
por: Louis, Maxime, et al.
Publicado: (2025)
AcuRank: Uncertainty-Aware Adaptive Computation for Listwise Reranking
por: Yoon, Soyoung, et al.
Publicado: (2025)
por: Yoon, Soyoung, et al.
Publicado: (2025)
M^2VAE: Multi-Modal Multi-View Variational Autoencoder for Cold-start Item Recommendation
por: He, Chuan, et al.
Publicado: (2025)
por: He, Chuan, et al.
Publicado: (2025)
PRISM: Agentic Retrieval with LLMs for Multi-Hop Question Answering
por: Nahid, Md Mahadi Hasan, et al.
Publicado: (2025)
por: Nahid, Md Mahadi Hasan, et al.
Publicado: (2025)
Ejemplares similares
-
GRADA: Graph-based Reranking against Adversarial Documents Attack
por: Zheng, Jingjie, et al.
Publicado: (2025) -
DTKG: Dual-Track Knowledge Graph-Verified Reasoning Framework for Multi-Hop QA
por: Wang, Changhao, et al.
Publicado: (2025) -
Adaptive Multi-Agent Reasoning for Text-to-Video Retrieval
por: Wu, Jiaxin, et al.
Publicado: (2025) -
E2Rank: Your Text Embedding can Also be an Effective and Efficient Listwise Reranker
por: Liu, Qi, et al.
Publicado: (2025) -
Non-autoregressive Generative Models for Reranking Recommendation
por: Ren, Yuxin, et al.
Publicado: (2024)