Image de couverture de livre

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

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zhang, Lingxi, Zhang, Jing, Wang, Yanling, Li, Cuiping, Chen, Hong
Format:	Preprint
Publié:	2024
Sujets:	Computation and Language Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

SGSH: Stimulate Large Language Models with Skeleton Heuristics for Knowledge Base Question Generation
par: Guo, Shasha, et autres
Publié: (2024)

Diversifying Question Generation over Knowledge Base via External Natural Questions
par: Guo, Shasha, et autres
Publié: (2023)

PCQPR: Proactive Conversational Question Planning with Reflection
par: Guo, Shasha, et autres
Publié: (2024)

Code-Style In-Context Learning for Knowledge-Based Question Answering
par: Nie, Zhijie, et autres
Publié: (2023)

Streamlining Redundant Layers to Compress Large Language Models
par: Chen, Xiaodong, et autres
Publié: (2024)

P$^2$ Law: Scaling Law for Post-Training After Model Pruning
par: Chen, Xiaodong, et autres
Publié: (2024)

Towards Building a Robust Knowledge Intensive Question Answering Model with Large Language Models
par: Hong, Xingyun, et autres
Publié: (2024)

Mitigating Knowledge Conflicts in Language Model-Driven Question Answering
par: Cao, Han, et autres
Publié: (2024)

EPERM: An Evidence Path Enhanced Reasoning Model for Knowledge Graph Question and Answering
par: Long, Xiao, et autres
Publié: (2025)

Temporal Knowledge Question Answering via Abstract Reasoning Induction
par: Chen, Ziyang, et autres
Publié: (2023)

Contrastive Learning for Knowledge-Based Question Generation in Large Language Models
par: Zhang, Zhenhong, et autres
Publié: (2024)

Knowledgeable Preference Alignment for LLMs in Domain-specific Question Answering
par: Zhang, Yichi, et autres
Publié: (2023)

From Retrieval to Generation: Unifying External and Parametric Knowledge for Medical Question Answering
par: Li, Lei, et autres
Publié: (2025)

iQUEST: An Iterative Question-Guided Framework for Knowledge Base Question Answering
par: Wang, Shuai, et autres
Publié: (2025)

Cost-efficient Knowledge-based Question Answering with Large Language Models
par: Dong, Junnan, et autres
Publié: (2024)

Efficient Medical Question Answering with Knowledge-Augmented Question Generation
par: Khlaut, Julien, et autres
Publié: (2024)

Multi-Agents Based on Large Language Models for Knowledge-based Visual Question Answering
par: Hu, Zhongjian, et autres
Publié: (2024)

NeuroSymActive: Differentiable Neural-Symbolic Reasoning with Active Exploration for Knowledge Graph Question Answering
par: Fu, Rong, et autres
Publié: (2026)

FiDeLiS: Faithful Reasoning in Large Language Model for Knowledge Graph Question Answering
par: Sui, Yuan, et autres
Publié: (2024)

Towards Better Generalization in Open-Domain Question Answering by Mitigating Context Memorization
par: Zhang, Zixuan, et autres
Publié: (2024)

Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks
par: Yuen, Sizhe, et autres
Publié: (2025)

RTQA : Recursive Thinking for Complex Temporal Knowledge Graph Question Answering with Large Language Models
par: Gong, Zhaoyan, et autres
Publié: (2025)

ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Models
par: Luo, Haoran, et autres
Publié: (2023)

ReasoningLM: Enabling Structural Subgraph Reasoning in Pre-trained Language Models for Question Answering over Knowledge Graph
par: Jiang, Jinhao, et autres
Publié: (2023)

To Reason or Not to: Selective Chain-of-Thought in Medical Question Answering
par: Zhan, Zaifu, et autres
Publié: (2026)

Few-shot Transfer Learning for Knowledge Base Question Answering: Fusing Supervised Models with In-Context Learning
par: Patidar, Mayur, et autres
Publié: (2023)

MKRAG: Medical Knowledge Retrieval Augmented Generation for Medical Question Answering
par: Shi, Yucheng, et autres
Publié: (2023)

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering
par: Jiang, Longquan, et autres
Publié: (2025)

SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs
par: Wang, Hao, et autres
Publié: (2025)

A Survey on Neural Question Generation: Methods, Applications, and Prospects
par: Guo, Shasha, et autres
Publié: (2024)

Seek and Solve Reasoning for Table Question Answering
par: Jiang, Ruya, et autres
Publié: (2024)

Enhancing Temporal Sensitivity and Reasoning for Time-Sensitive Question Answering
par: Yang, Wanqi, et autres
Publié: (2024)

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

Joint Multi-Facts Reasoning Network For Complex Temporal Question Answering Over Knowledge Graph
par: Huang, Rikui, et autres
Publié: (2024)

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering
par: Long, Xiao, et autres
Publié: (2025)

LB-KBQA: Large-language-model and BERT based Knowledge-Based Question and Answering System
par: Zhao, Yan, et autres
Publié: (2024)

MCTS-KBQA: Monte Carlo Tree Search for Knowledge Base Question Answering
par: Xiong, Guanming, et autres
Publié: (2025)

Reasoning on Efficient Knowledge Paths:Knowledge Graph Guides Large Language Model for Domain Question Answering
par: Wang, Yuqi, et autres
Publié: (2024)

Exploring the Role of Knowledge Graph-Based RAG in Japanese Medical Question Answering with Small-Scale LLMs
par: Chen, Yingjian, et autres
Publié: (2025)

BeamAggR: Beam Aggregation Reasoning over Multi-source Knowledge for Multi-hop Question Answering
par: Chu, Zheng, et autres
Publié: (2024)