Event GDR: Event-Centric Generative Document Retrieval
Fuente:
arXiv
Saved in:
| Main Authors: | Guan, Yong, Liu, Dingxiao, Ma, Jinchen, Peng, Hao, Wang, Xiaozhi, Hou, Lei, Li, Ru |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
DEGAP: Dual Event-Guided Adaptive Prefixes for Templated-Based Event Argument Extraction with Slot Querying
by: Wang, Guanghui, et al.
Published: (2024)
by: Wang, Guanghui, et al.
Published: (2024)
Within-Document Event Coreference with BERT-Based Contextualized Representations
by: Ahmed, Shafiuddin Rehan, et al.
Published: (2021)
by: Ahmed, Shafiuddin Rehan, et al.
Published: (2021)
MARA: A Multimodal Adaptive Retrieval-Augmented Framework for Document Question Answering
by: Wu, Hui, et al.
Published: (2026)
by: Wu, Hui, et al.
Published: (2026)
InfoGain-RAG: Boosting Retrieval-Augmented Generation via Document Information Gain-based Reranking and Filtering
by: Wang, Zihan, et al.
Published: (2025)
by: Wang, Zihan, et al.
Published: (2025)
DyG-RAG: Dynamic Graph Retrieval-Augmented Generation with Event-Centric Reasoning
by: Sun, Qingyun, et al.
Published: (2025)
by: Sun, Qingyun, et al.
Published: (2025)
Document-Level Event Extraction with Definition-Driven ICL
by: Liu, Zhuoyuan, et al.
Published: (2024)
by: Liu, Zhuoyuan, et al.
Published: (2024)
CtrlA: Adaptive Retrieval-Augmented Generation via Inherent Control
by: Liu, Huanshuo, et al.
Published: (2024)
by: Liu, Huanshuo, et al.
Published: (2024)
R^2AG: Incorporating Retrieval Information into Retrieval Augmented Generation
by: Ye, Fuda, et al.
Published: (2024)
by: Ye, Fuda, et al.
Published: (2024)
Political Events using RAG with LLMs
by: Arslan, Muhammad, et al.
Published: (2025)
by: Arslan, Muhammad, et al.
Published: (2025)
EventCast: Hybrid Demand Forecasting in E-Commerce with LLM-Based Event Knowledge
by: Hu, Congcong, et al.
Published: (2026)
by: Hu, Congcong, et al.
Published: (2026)
Neural Retrievers are Biased Towards LLM-Generated Content
by: Dai, Sunhao, et al.
Published: (2023)
by: Dai, Sunhao, et al.
Published: (2023)
GOLFer: Smaller LM-Generated Documents Hallucination Filter & Combiner for Query Expansion in Information Retrieval
by: Liu, Lingyuan, et al.
Published: (2025)
by: Liu, Lingyuan, et al.
Published: (2025)
Retro*: Optimizing LLMs for Reasoning-Intensive Document Retrieval
by: Lan, Junwei, et al.
Published: (2025)
by: Lan, Junwei, et al.
Published: (2025)
Advancing Event Causality Identification via Heuristic Semantic Dependency Inquiry Network
by: Li, Haoran, et al.
Published: (2024)
by: Li, Haoran, et al.
Published: (2024)
Cross-Document Topic-Aligned Chunking for Retrieval-Augmented Generation
by: Stankovic, Mile
Published: (2025)
by: Stankovic, Mile
Published: (2025)
Distillation Enhanced Generative Retrieval
by: Li, Yongqi, et al.
Published: (2024)
by: Li, Yongqi, et al.
Published: (2024)
Optimizing Multi-Hop Document Retrieval Through Intermediate Representations
by: Lin, Jiaen, et al.
Published: (2025)
by: Lin, Jiaen, et al.
Published: (2025)
VersionRAG: Version-Aware Retrieval-Augmented Generation for Evolving Documents
by: Huwiler, Daniel, et al.
Published: (2025)
by: Huwiler, Daniel, et al.
Published: (2025)
DIRAS: Efficient LLM Annotation of Document Relevance in Retrieval Augmented Generation
by: Ni, Jingwei, et al.
Published: (2024)
by: Ni, Jingwei, et al.
Published: (2024)
Graph Retrieval-Augmented Generation: A Survey
by: Peng, Boci, et al.
Published: (2024)
by: Peng, Boci, et al.
Published: (2024)
Enhancing Speech-to-Speech Dialogue Modeling with End-to-End Retrieval-Augmented Generation
by: Feng, Pengchao, et al.
Published: (2025)
by: Feng, Pengchao, et al.
Published: (2025)
Multi-Source Knowledge Pruning for Retrieval-Augmented Generation: A Benchmark and Empirical Study
by: Yu, Shuo, et al.
Published: (2024)
by: Yu, Shuo, et al.
Published: (2024)
Improving Retrieval-Augmented Generation without Taxonomy-based Error Categorization
by: Zhang, Gongbo, et al.
Published: (2026)
by: Zhang, Gongbo, et al.
Published: (2026)
Generative Retrieval and Alignment Model: A New Paradigm for E-commerce Retrieval
by: Pang, Ming, et al.
Published: (2025)
by: Pang, Ming, et al.
Published: (2025)
RuleRAG: Rule-Guided Retrieval-Augmented Generation with Language Models for Question Answering
by: Chen, Zhongwu, et al.
Published: (2024)
by: Chen, Zhongwu, et al.
Published: (2024)
Utility-Focused LLM Annotation for Retrieval and Retrieval-Augmented Generation
by: Zhang, Hengran, et al.
Published: (2025)
by: Zhang, Hengran, et al.
Published: (2025)
Knowledge Compression via Question Generation: Enhancing Multihop Document Retrieval without Fine-tuning
by: Eponon, Anvi Alex, et al.
Published: (2025)
by: Eponon, Anvi Alex, et al.
Published: (2025)
Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents
by: Wang, Haoyu, et al.
Published: (2025)
by: Wang, Haoyu, et al.
Published: (2025)
Trustworthiness in Retrieval-Augmented Generation Systems: A Survey
by: Zhou, Yujia, et al.
Published: (2024)
by: Zhou, Yujia, et al.
Published: (2024)
Unified Multimodal Interleaved Document Representation for Retrieval
by: Lee, Jaewoo, et al.
Published: (2024)
by: Lee, Jaewoo, et al.
Published: (2024)
Bridge-RAG: An Abstract Bridge Tree Based Retrieval Augmented Generation Algorithm
by: Li, Zihang, et al.
Published: (2026)
by: Li, Zihang, et al.
Published: (2026)
RouteRAG: Efficient Retrieval-Augmented Generation from Text and Graph via Reinforcement Learning
by: Guo, Yucan, et al.
Published: (2025)
by: Guo, Yucan, et al.
Published: (2025)
LLatrieval: LLM-Verified Retrieval for Verifiable Generation
by: Li, Xiaonan, et al.
Published: (2023)
by: Li, Xiaonan, et al.
Published: (2023)
Document-as-Image Representations Fall Short for Scientific Retrieval
by: Khalighinejad, Ghazal, et al.
Published: (2026)
by: Khalighinejad, Ghazal, et al.
Published: (2026)
Pistis-RAG: Enhancing Retrieval-Augmented Generation with Human Feedback
by: Bai, Yu, et al.
Published: (2024)
by: Bai, Yu, et al.
Published: (2024)
Beyond Chunking: Discourse-Aware Hierarchical Retrieval for Long Document Question Answering
by: Chen, Huiyao, et al.
Published: (2025)
by: Chen, Huiyao, et al.
Published: (2025)
Resolving the Robustness-Precision Trade-off in Financial RAG through Hybrid Document-Routed Retrieval
by: Cheng, Zhiyuan, et al.
Published: (2026)
by: Cheng, Zhiyuan, et al.
Published: (2026)
Rethinking the Necessity of Adaptive Retrieval-Augmented Generation through the Lens of Adaptive Listwise Ranking
by: Feng, Jun, et al.
Published: (2026)
by: Feng, Jun, et al.
Published: (2026)
S-Path-RAG: Semantic-Aware Shortest-Path Retrieval Augmented Generation for Multi-Hop Knowledge Graph Question Answering
by: Fu, Rong, et al.
Published: (2026)
by: Fu, Rong, et al.
Published: (2026)
Beyond Relevance: Utility-Centric Retrieval in the LLM Era
by: Zhang, Hengran, et al.
Published: (2026)
by: Zhang, Hengran, et al.
Published: (2026)
Similar Items
-
DEGAP: Dual Event-Guided Adaptive Prefixes for Templated-Based Event Argument Extraction with Slot Querying
by: Wang, Guanghui, et al.
Published: (2024) -
Within-Document Event Coreference with BERT-Based Contextualized Representations
by: Ahmed, Shafiuddin Rehan, et al.
Published: (2021) -
MARA: A Multimodal Adaptive Retrieval-Augmented Framework for Document Question Answering
by: Wu, Hui, et al.
Published: (2026) -
InfoGain-RAG: Boosting Retrieval-Augmented Generation via Document Information Gain-based Reranking and Filtering
by: Wang, Zihan, et al.
Published: (2025) -
DyG-RAG: Dynamic Graph Retrieval-Augmented Generation with Event-Centric Reasoning
by: Sun, Qingyun, et al.
Published: (2025)