PRIMO: Progressive Induction for Multi-hop Open Rule Generation
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Jianyu, Bi, Sheng, Qi, Guilin |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
MATEval: A Multi-Agent Discussion Framework for Advancing Open-Ended Text Evaluation
by: Li, Yu, et al.
Published: (2024)
by: Li, Yu, et al.
Published: (2024)
MFORT-QA: Multi-hop Few-shot Open Rich Table Question Answering
by: Guan, Che, et al.
Published: (2024)
by: Guan, Che, et al.
Published: (2024)
C$^3$TG: Conflict-aware, Composite, and Collaborative Controlled Text Generation
by: Li, Yu, et al.
Published: (2025)
by: Li, Yu, et al.
Published: (2025)
From Superficial to Deep: Integrating External Knowledge for Follow-up Question Generation Using Knowledge Graph and LLM
by: Liu, Jianyu, et al.
Published: (2025)
by: Liu, Jianyu, et al.
Published: (2025)
SentGraph: Hierarchical Sentence Graph for Multi-hop Retrieval-Augmented Question Answering
by: Liang, Junli, et al.
Published: (2026)
by: Liang, Junli, et al.
Published: (2026)
Cross-Granularity Hypergraph Retrieval-Augmented Generation for Multi-hop Question Answering
by: Wang, Changjian, et al.
Published: (2025)
by: Wang, Changjian, et al.
Published: (2025)
CIRAG: Construction-Integration Retrieval and Adaptive Generation for Multi-hop Question Answering
by: Wei, Zili, et al.
Published: (2026)
by: Wei, Zili, et al.
Published: (2026)
Improve Rule Retrieval and Reasoning with Self-Induction and Relevance ReEstimate
by: Huang, Ziyang, et al.
Published: (2025)
by: Huang, Ziyang, et al.
Published: (2025)
Kinship Data Benchmark for Multi-hop Reasoning
by: Sun, Tianda, et al.
Published: (2026)
by: Sun, Tianda, et al.
Published: (2026)
Avoiding Knowledge Edit Skipping in Multi-hop Question Answering with Guided Decomposition
by: Liu, Yi, et al.
Published: (2025)
by: Liu, Yi, et al.
Published: (2025)
HANRAG: Heuristic Accurate Noise-resistant Retrieval-Augmented Generation for Multi-hop Question Answering
by: Sun, Duolin, et al.
Published: (2025)
by: Sun, Duolin, et al.
Published: (2025)
Multi-hop Question Answering
by: Mavi, Vaibhav, et al.
Published: (2022)
by: Mavi, Vaibhav, et al.
Published: (2022)
Omne-R1: Learning to Reason with Memory for Multi-hop Question Answering
by: Liu, Boyuan, et al.
Published: (2025)
by: Liu, Boyuan, et al.
Published: (2025)
IDEA: Enhancing the Rule Learning Ability of Large Language Model Agent through Induction, Deduction, and Abduction
by: He, Kaiyu, et al.
Published: (2024)
by: He, Kaiyu, et al.
Published: (2024)
Knowledge Fusion via Bidirectional Information Aggregation
by: Zhai, Songlin, et al.
Published: (2025)
by: Zhai, Songlin, et al.
Published: (2025)
MARCH: Evaluating the Intersection of Ambiguity Interpretation and Multi-hop Inference
by: Park, Jeonghyun, et al.
Published: (2025)
by: Park, Jeonghyun, et al.
Published: (2025)
M$^3$KG-RAG: Multi-hop Multimodal Knowledge Graph-enhanced Retrieval-Augmented Generation
by: Park, Hyeongcheol, et al.
Published: (2025)
by: Park, Hyeongcheol, et al.
Published: (2025)
MSynFD: Multi-hop Syntax aware Fake News Detection
by: Xiao, Liang, et al.
Published: (2024)
by: Xiao, Liang, et al.
Published: (2024)
DEEPAMBIGQA: Ambiguous Multi-hop Questions for Benchmarking LLM Answer Completeness
by: Ji, Jiabao, et al.
Published: (2025)
by: Ji, Jiabao, et al.
Published: (2025)
Multimodal Cognitive Reframing Therapy via Multi-hop Psychotherapeutic Reasoning
by: Kim, Subin, et al.
Published: (2025)
by: Kim, Subin, et al.
Published: (2025)
Benchmarking Chinese Commonsense Reasoning with a Multi-hop Reasoning Perspective
by: You, Wangjie, et al.
Published: (2025)
by: You, Wangjie, et al.
Published: (2025)
FamilyTool: A Multi-hop Personalized Tool Use Benchmark
by: Wang, Yuxin, et al.
Published: (2025)
by: Wang, Yuxin, et al.
Published: (2025)
SAFE: Stepwise Atomic Feedback for Error correction in Multi-hop Reasoning
by: Kwon, Daeyong, et al.
Published: (2026)
by: Kwon, Daeyong, et al.
Published: (2026)
BeamAggR: Beam Aggregation Reasoning over Multi-source Knowledge for Multi-hop Question Answering
by: Chu, Zheng, et al.
Published: (2024)
by: Chu, Zheng, et al.
Published: (2024)
Leveraging Grammar Induction for Language Understanding and Generation
by: Kai, Jushi, et al.
Published: (2024)
by: Kai, Jushi, et al.
Published: (2024)
Hierarchical Retrieval-Augmented Generation Model with Rethink for Multi-hop Question Answering
by: Zhang, Xiaoming, et al.
Published: (2024)
by: Zhang, Xiaoming, et al.
Published: (2024)
Retrieve, Summarize, Plan: Advancing Multi-hop Question Answering with an Iterative Approach
by: Jiang, Zhouyu, et al.
Published: (2024)
by: Jiang, Zhouyu, et al.
Published: (2024)
Embedding Ontologies via Incorporating Extensional and Intensional Knowledge
by: Wang, Keyu, et al.
Published: (2024)
by: Wang, Keyu, et al.
Published: (2024)
Think Twice, Generate Once: Safeguarding by Progressive Self-Reflection
by: Phan, Hoang, et al.
Published: (2025)
by: Phan, Hoang, et al.
Published: (2025)
DaPT: A Dual-Path Framework for Multilingual Multi-hop Question Answering
by: Wang, Yilin, et al.
Published: (2026)
by: Wang, Yilin, et al.
Published: (2026)
Shattering the Shortcut: A Topology-Regularized Benchmark for Multi-hop Medical Reasoning in LLMs
by: Zi, Xing, et al.
Published: (2026)
by: Zi, Xing, et al.
Published: (2026)
Bactrainus: Optimizing Large Language Models for Multi-hop Complex Question Answering Tasks
by: Barati, Iman, et al.
Published: (2025)
by: Barati, Iman, et al.
Published: (2025)
Strategy-Induct: Task-Level Strategy Induction for Instruction Generation
by: Chen, Po-Chun, et al.
Published: (2026)
by: Chen, Po-Chun, et al.
Published: (2026)
Diverge to Induce Prompting: Multi-Rationale Induction for Zero-Shot Reasoning
by: Chen, Po-Chun, et al.
Published: (2026)
by: Chen, Po-Chun, et al.
Published: (2026)
Improving Multi-hop Logical Reasoning in Knowledge Graphs with Context-Aware Query Representation Learning
by: Kim, Jeonghoon, et al.
Published: (2024)
by: Kim, Jeonghoon, et al.
Published: (2024)
GlobalRAG: Enhancing Global Reasoning in Multi-hop Question Answering via Reinforcement Learning
by: Luo, Jinchang, et al.
Published: (2025)
by: Luo, Jinchang, et al.
Published: (2025)
Can Large Language Models Understand DL-Lite Ontologies? An Empirical Study
by: Wang, Keyu, et al.
Published: (2024)
by: Wang, Keyu, et al.
Published: (2024)
KG-o1: Enhancing Multi-hop Question Answering in Large Language Models via Knowledge Graph Integration
by: Wang, Nan, et al.
Published: (2025)
by: Wang, Nan, et al.
Published: (2025)
HeGTa: Leveraging Heterogeneous Graph-enhanced Large Language Models for Few-shot Complex Table Understanding
by: Jin, Rihui, et al.
Published: (2024)
by: Jin, Rihui, et al.
Published: (2024)
GRADE: Generating multi-hop QA and fine-gRAined Difficulty matrix for RAG Evaluation
by: Lee, Jeongsoo, et al.
Published: (2025)
by: Lee, Jeongsoo, et al.
Published: (2025)
Similar Items
-
MATEval: A Multi-Agent Discussion Framework for Advancing Open-Ended Text Evaluation
by: Li, Yu, et al.
Published: (2024) -
MFORT-QA: Multi-hop Few-shot Open Rich Table Question Answering
by: Guan, Che, et al.
Published: (2024) -
C$^3$TG: Conflict-aware, Composite, and Collaborative Controlled Text Generation
by: Li, Yu, et al.
Published: (2025) -
From Superficial to Deep: Integrating External Knowledge for Follow-up Question Generation Using Knowledge Graph and LLM
by: Liu, Jianyu, et al.
Published: (2025) -
SentGraph: Hierarchical Sentence Graph for Multi-hop Retrieval-Augmented Question Answering
by: Liang, Junli, et al.
Published: (2026)