Guardado en:
| Autores principales: | Zhu, Yijie, Zhou, Haojie, Hong, Wanting, Liu, Tailin, Wang, Ning |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2511.09966 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Credible Plan-Driven RAG Method for Multi-Hop Question Answering
por: Zhang, Ningning, et al.
Publicado: (2025)
por: Zhang, Ningning, et al.
Publicado: (2025)
ConRAG: Consensus-Driven Multi-View Retrieval for Multi-Hop Question Answering
por: Zhu, Yikai, et al.
Publicado: (2026)
por: Zhu, Yikai, et al.
Publicado: (2026)
EfficientRAG: Efficient Retriever for Multi-Hop Question Answering
por: Zhuang, Ziyuan, et al.
Publicado: (2024)
por: Zhuang, Ziyuan, et al.
Publicado: (2024)
ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering
por: Wu, Ruofan, et al.
Publicado: (2025)
por: Wu, Ruofan, et al.
Publicado: (2025)
FrugalRAG: Less is More in RL Finetuning for Multi-Hop Question Answering
por: Java, Abhinav, et al.
Publicado: (2025)
por: Java, Abhinav, et al.
Publicado: (2025)
Inference Scaled GraphRAG: Improving Multi Hop Question Answering on Knowledge Graphs
por: Thompson, Travis, et al.
Publicado: (2025)
por: Thompson, Travis, et al.
Publicado: (2025)
Fine-Tuning vs. RAG for Multi-Hop Question Answering with Novel Knowledge
por: Yang, Zhuoyi, et al.
Publicado: (2026)
por: Yang, Zhuoyi, et al.
Publicado: (2026)
Question Calibration and Multi-Hop Modeling for Temporal Question Answering
por: Xue, Chao, et al.
Publicado: (2024)
por: Xue, Chao, et al.
Publicado: (2024)
Knowledge Editing with Dynamic Knowledge Graphs for Multi-Hop Question Answering
por: Lu, Yifan, et al.
Publicado: (2024)
por: Lu, Yifan, et al.
Publicado: (2024)
Mitigating Lost-in-Retrieval Problems in Retrieval Augmented Multi-Hop Question Answering
por: Zhu, Rongzhi, et al.
Publicado: (2025)
por: Zhu, Rongzhi, et al.
Publicado: (2025)
StepChain GraphRAG: Reasoning Over Knowledge Graphs for Multi-Hop Question Answering
por: Ni, Tengjun, et al.
Publicado: (2025)
por: Ni, Tengjun, et al.
Publicado: (2025)
CompactRAG: Reducing LLM Calls and Token Overhead in Multi-Hop Question Answering
por: Yang, Hao, et al.
Publicado: (2026)
por: Yang, Hao, et al.
Publicado: (2026)
MultiCube-RAG for Multi-hop Question Answering
por: Shi, Jimeng, et al.
Publicado: (2026)
por: Shi, Jimeng, et al.
Publicado: (2026)
End-to-End Beam Retrieval for Multi-Hop Question Answering
por: Zhang, Jiahao, et al.
Publicado: (2023)
por: Zhang, Jiahao, et al.
Publicado: (2023)
Resource-Friendly Dynamic Enhancement Chain for Multi-Hop Question Answering
por: Ji, Binquan, et al.
Publicado: (2025)
por: Ji, Binquan, et al.
Publicado: (2025)
Multi-Hop Reasoning for Question Answering with Hyperbolic Representations
por: Welz, Simon, et al.
Publicado: (2025)
por: Welz, Simon, et al.
Publicado: (2025)
S-Path-RAG: Semantic-Aware Shortest-Path Retrieval Augmented Generation for Multi-Hop Knowledge Graph Question Answering
por: Fu, Rong, et al.
Publicado: (2026)
por: Fu, Rong, et al.
Publicado: (2026)
Retrieval-enhanced Knowledge Editing in Language Models for Multi-Hop Question Answering
por: Shi, Yucheng, et al.
Publicado: (2024)
por: Shi, Yucheng, et al.
Publicado: (2024)
MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge
por: He, Jie, et al.
Publicado: (2024)
por: He, Jie, et al.
Publicado: (2024)
Memory-Aware and Uncertainty-Guided Retrieval for Multi-Hop Question Answering
por: Ji, Yuelyu, et al.
Publicado: (2025)
por: Ji, Yuelyu, et al.
Publicado: (2025)
DPRM: A Dual Implicit Process Reward Model in Multi-Hop Question Answering
por: Wang, Xinyi, et al.
Publicado: (2025)
por: Wang, Xinyi, et al.
Publicado: (2025)
BELLE: A Bi-Level Multi-Agent Reasoning Framework for Multi-Hop Question Answering
por: Zhang, Taolin, et al.
Publicado: (2025)
por: Zhang, Taolin, et al.
Publicado: (2025)
MedHopQA: A Disease-Centered Multi-Hop Reasoning Benchmark and Evaluation Framework for LLM-Based Biomedical Question Answering
por: Islamaj, Rezarta, et al.
Publicado: (2026)
por: Islamaj, Rezarta, et al.
Publicado: (2026)
Reasoning in Trees: Improving Retrieval-Augmented Generation for Multi-Hop Question Answering
por: Shi, Yuling, et al.
Publicado: (2026)
por: Shi, Yuling, et al.
Publicado: (2026)
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)
CRAFT: Calibrated Reasoning with Answer-Faithful Traces via Reinforcement Learning for Multi-Hop Question Answering
por: Liu, Yu, et al.
Publicado: (2026)
por: Liu, Yu, et al.
Publicado: (2026)
Few-Shot Data Synthesis for Open Domain Multi-Hop Question Answering
por: Chen, Mingda, et al.
Publicado: (2023)
por: Chen, Mingda, et al.
Publicado: (2023)
Enhancing Document-Level Question Answering via Multi-Hop Retrieval-Augmented Generation with LLaMA 3
por: Huang, Xinyue, et al.
Publicado: (2025)
por: Huang, Xinyue, et al.
Publicado: (2025)
Efficient Multi-Hop Question Answering over Knowledge Graphs via LLM Planning and Embedding-Guided Search
por: Shrestha, Manil, et al.
Publicado: (2025)
por: Shrestha, Manil, et al.
Publicado: (2025)
BYOKG-RAG: Multi-Strategy Graph Retrieval for Knowledge Graph Question Answering
por: Mavromatis, Costas, et al.
Publicado: (2025)
por: Mavromatis, Costas, et al.
Publicado: (2025)
FanOutQA: A Multi-Hop, Multi-Document Question Answering Benchmark for Large Language Models
por: Zhu, Andrew, et al.
Publicado: (2024)
por: Zhu, Andrew, et al.
Publicado: (2024)
An Analysis of Decoding Methods for LLM-based Agents for Faithful Multi-Hop Question Answering
por: Murphy, Alexander, et al.
Publicado: (2025)
por: Murphy, Alexander, et al.
Publicado: (2025)
Consistency-Aware Parameter-Preserving Knowledge Editing Framework for Multi-Hop Question Answering
por: Deng, Lingwen, et al.
Publicado: (2025)
por: Deng, Lingwen, et al.
Publicado: (2025)
$π$-CoT: Prolog-Initialized Chain-of-Thought Prompting for Multi-Hop Question-Answering
por: Wan, Chao, et al.
Publicado: (2025)
por: Wan, Chao, et al.
Publicado: (2025)
Review-Then-Refine: A Dynamic Framework for Multi-Hop Question Answering with Temporal Adaptability
por: Chen, Xiangsen, et al.
Publicado: (2024)
por: Chen, Xiangsen, et al.
Publicado: (2024)
LLM-Based Multi-Hop Question Answering with Knowledge Graph Integration in Evolving Environments
por: Chen, Ruirui, et al.
Publicado: (2024)
por: Chen, Ruirui, et al.
Publicado: (2024)
A Method for Multi-Hop Question Answering on Persian Knowledge Graph
por: Ghafouri, Arash, et al.
Publicado: (2025)
por: Ghafouri, Arash, et al.
Publicado: (2025)
MDER-DR: Multi-Hop Question Answering with Entity-Centric Summaries
por: Campi, Riccardo, et al.
Publicado: (2026)
por: Campi, Riccardo, et al.
Publicado: (2026)
Self-Reflective Planning with Knowledge Graphs: Enhancing LLM Reasoning Reliability for Question Answering
por: Zhu, Jiajun, et al.
Publicado: (2025)
por: Zhu, Jiajun, et al.
Publicado: (2025)
GlobalRAG: Enhancing Global Reasoning in Multi-hop Question Answering via Reinforcement Learning
por: Luo, Jinchang, et al.
Publicado: (2025)
por: Luo, Jinchang, et al.
Publicado: (2025)
Ejemplares similares
-
Credible Plan-Driven RAG Method for Multi-Hop Question Answering
por: Zhang, Ningning, et al.
Publicado: (2025) -
ConRAG: Consensus-Driven Multi-View Retrieval for Multi-Hop Question Answering
por: Zhu, Yikai, et al.
Publicado: (2026) -
EfficientRAG: Efficient Retriever for Multi-Hop Question Answering
por: Zhuang, Ziyuan, et al.
Publicado: (2024) -
ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering
por: Wu, Ruofan, et al.
Publicado: (2025) -
FrugalRAG: Less is More in RL Finetuning for Multi-Hop Question Answering
por: Java, Abhinav, et al.
Publicado: (2025)