Buchumschlag

A Learn-Then-Reason Model Towards Generalization in Knowledge Base Question Answering

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Zhang, Lingxi, Zhang, Jing, Wang, Yanling, Li, Cuiping, Chen, Hong
Format:	Preprint
Veröffentlicht:	2024
Schlagworte:	Computation and Language Artificial Intelligence
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

SGSH: Stimulate Large Language Models with Skeleton Heuristics for Knowledge Base Question Generation
von: Guo, Shasha, et al.
Veröffentlicht: (2024)

Diversifying Question Generation over Knowledge Base via External Natural Questions
von: Guo, Shasha, et al.
Veröffentlicht: (2023)

PCQPR: Proactive Conversational Question Planning with Reflection
von: Guo, Shasha, et al.
Veröffentlicht: (2024)

Code-Style In-Context Learning for Knowledge-Based Question Answering
von: Nie, Zhijie, et al.
Veröffentlicht: (2023)

Streamlining Redundant Layers to Compress Large Language Models
von: Chen, Xiaodong, et al.
Veröffentlicht: (2024)

P$^2$ Law: Scaling Law for Post-Training After Model Pruning
von: Chen, Xiaodong, et al.
Veröffentlicht: (2024)

Towards Building a Robust Knowledge Intensive Question Answering Model with Large Language Models
von: Hong, Xingyun, et al.
Veröffentlicht: (2024)

Mitigating Knowledge Conflicts in Language Model-Driven Question Answering
von: Cao, Han, et al.
Veröffentlicht: (2024)

EPERM: An Evidence Path Enhanced Reasoning Model for Knowledge Graph Question and Answering
von: Long, Xiao, et al.
Veröffentlicht: (2025)

Temporal Knowledge Question Answering via Abstract Reasoning Induction
von: Chen, Ziyang, et al.
Veröffentlicht: (2023)

Contrastive Learning for Knowledge-Based Question Generation in Large Language Models
von: Zhang, Zhenhong, et al.
Veröffentlicht: (2024)

Knowledgeable Preference Alignment for LLMs in Domain-specific Question Answering
von: Zhang, Yichi, et al.
Veröffentlicht: (2023)

From Retrieval to Generation: Unifying External and Parametric Knowledge for Medical Question Answering
von: Li, Lei, et al.
Veröffentlicht: (2025)

iQUEST: An Iterative Question-Guided Framework for Knowledge Base Question Answering
von: Wang, Shuai, et al.
Veröffentlicht: (2025)

Cost-efficient Knowledge-based Question Answering with Large Language Models
von: Dong, Junnan, et al.
Veröffentlicht: (2024)

Efficient Medical Question Answering with Knowledge-Augmented Question Generation
von: Khlaut, Julien, et al.
Veröffentlicht: (2024)

Multi-Agents Based on Large Language Models for Knowledge-based Visual Question Answering
von: Hu, Zhongjian, et al.
Veröffentlicht: (2024)

NeuroSymActive: Differentiable Neural-Symbolic Reasoning with Active Exploration for Knowledge Graph Question Answering
von: Fu, Rong, et al.
Veröffentlicht: (2026)

FiDeLiS: Faithful Reasoning in Large Language Model for Knowledge Graph Question Answering
von: Sui, Yuan, et al.
Veröffentlicht: (2024)

Towards Better Generalization in Open-Domain Question Answering by Mitigating Context Memorization
von: Zhang, Zixuan, et al.
Veröffentlicht: (2024)

Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks
von: Yuen, Sizhe, et al.
Veröffentlicht: (2025)

RTQA : Recursive Thinking for Complex Temporal Knowledge Graph Question Answering with Large Language Models
von: Gong, Zhaoyan, et al.
Veröffentlicht: (2025)

ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Models
von: Luo, Haoran, et al.
Veröffentlicht: (2023)

ReasoningLM: Enabling Structural Subgraph Reasoning in Pre-trained Language Models for Question Answering over Knowledge Graph
von: Jiang, Jinhao, et al.
Veröffentlicht: (2023)

To Reason or Not to: Selective Chain-of-Thought in Medical Question Answering
von: Zhan, Zaifu, et al.
Veröffentlicht: (2026)

Few-shot Transfer Learning for Knowledge Base Question Answering: Fusing Supervised Models with In-Context Learning
von: Patidar, Mayur, et al.
Veröffentlicht: (2023)

MKRAG: Medical Knowledge Retrieval Augmented Generation for Medical Question Answering
von: Shi, Yucheng, et al.
Veröffentlicht: (2023)

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering
von: Jiang, Longquan, et al.
Veröffentlicht: (2025)

SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs
von: Wang, Hao, et al.
Veröffentlicht: (2025)

A Survey on Neural Question Generation: Methods, Applications, and Prospects
von: Guo, Shasha, et al.
Veröffentlicht: (2024)

Seek and Solve Reasoning for Table Question Answering
von: Jiang, Ruya, et al.
Veröffentlicht: (2024)

Enhancing Temporal Sensitivity and Reasoning for Time-Sensitive Question Answering
von: Yang, Wanqi, et al.
Veröffentlicht: (2024)

MediQAl: A French Medical Question Answering Dataset for Knowledge and Reasoning Evaluation
von: Bazoge, Adrien
Veröffentlicht: (2025)

Joint Multi-Facts Reasoning Network For Complex Temporal Question Answering Over Knowledge Graph
von: Huang, Rikui, et al.
Veröffentlicht: (2024)

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering
von: Long, Xiao, et al.
Veröffentlicht: (2025)

LB-KBQA: Large-language-model and BERT based Knowledge-Based Question and Answering System
von: Zhao, Yan, et al.
Veröffentlicht: (2024)

MCTS-KBQA: Monte Carlo Tree Search for Knowledge Base Question Answering
von: Xiong, Guanming, et al.
Veröffentlicht: (2025)

Reasoning on Efficient Knowledge Paths:Knowledge Graph Guides Large Language Model for Domain Question Answering
von: Wang, Yuqi, et al.
Veröffentlicht: (2024)

Exploring the Role of Knowledge Graph-Based RAG in Japanese Medical Question Answering with Small-Scale LLMs
von: Chen, Yingjian, et al.
Veröffentlicht: (2025)

BeamAggR: Beam Aggregation Reasoning over Multi-source Knowledge for Multi-hop Question Answering
von: Chu, Zheng, et al.
Veröffentlicht: (2024)