Imagen de Portada

LB-KBQA: Large-language-model and BERT based Knowledge-Based Question and Answering System

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Zhao, Yan, Li, Zhongyun, Pan, Yushan, Wang, Jiaxing, Wang, Yihong
Formato:	Preprint
Publicado:	2024
Materias:	Computation and Language Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

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

FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answering
por: Li, Zhenyu, et al.
Publicado: (2023)

Interactive-KBQA: Multi-Turn Interactions for Knowledge Base Question Answering with Large Language Models
por: Xiong, Guanming, et al.
Publicado: (2024)

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

KBQA-o1: Agentic Knowledge Base Question Answering with Monte Carlo Tree Search
por: Luo, Haoran, et al.
Publicado: (2025)

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

KBQA-R1: Reinforcing Large Language Models for Knowledge Base Question Answering
por: Sun, Xin, et al.
Publicado: (2025)

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

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

LingYi: Medical Conversational Question Answering System based on Multi-modal Knowledge Graphs
por: Xia, Fei, et al.
Publicado: (2022)

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

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

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

A Learn-Then-Reason Model Towards Generalization in Knowledge Base Question Answering
por: Zhang, Lingxi, et al.
Publicado: (2024)

Optimized Biomedical Question-Answering Services with LLM and Multi-BERT Integration
por: Qian, Cheng, et al.
Publicado: (2024)

Rationale-guided Prompting for Knowledge-based Visual Question Answering
por: Hu, Zhongjian, et al.
Publicado: (2024)

Ontology-Guided Reverse Thinking Makes Large Language Models Stronger on Knowledge Graph Question Answering
por: Liu, Runxuan, et al.
Publicado: (2025)

KnowCoder-A1: Incentivizing Agentic Reasoning Capability with Outcome Supervision for KBQA
por: Chen, Zhuo, et al.
Publicado: (2025)

Conversational Question Answering with Reformulations over Knowledge Graph
por: Liu, Lihui, et al.
Publicado: (2023)

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

TrustUQA: A Trustful Framework for Unified Structured Data Question Answering
por: Zhang, Wen, et al.
Publicado: (2024)

Self-Correction Distillation for Structured Data Question Answering
por: Zhu, Yushan, et al.
Publicado: (2025)

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

Enhancing Large Language Models with Pseudo- and Multisource- Knowledge Graphs for Open-ended Question Answering
por: Liu, Jiaxiang, et al.
Publicado: (2024)

Knowledge Graph-Guided Multi-Agent Distillation for Reliable Industrial Question Answering with Datasets
por: Pan, Jiqun, et al.
Publicado: (2025)

Never Lost in the Middle: Mastering Long-Context Question Answering with Position-Agnostic Decompositional Training
por: He, Junqing, et al.
Publicado: (2023)

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

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

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

Reliable Academic Conference Question Answering: A Study Based on Large Language Model
por: Huang, Zhiwei, et al.
Publicado: (2023)

Enhancing Question Answering for Enterprise Knowledge Bases using Large Language Models
por: Jiang, Feihu, et al.
Publicado: (2024)

BERTologyNavigator: Advanced Question Answering with BERT-based Semantics
por: Rajpal, Shreya, et al.
Publicado: (2024)

Large Language Models Meet Knowledge Graphs for Question Answering: Synthesis and Opportunities
por: Ma, Chuangtao, et al.
Publicado: (2025)

UniOQA: A Unified Framework for Knowledge Graph Question Answering with Large Language Models
por: Li, Zhuoyang, et al.
Publicado: (2024)

Differentiating Choices via Commonality for Multiple-Choice Question Answering
por: Deng, Wenqing, et al.
Publicado: (2024)

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

MedicalBERT: enhancing biomedical natural language processing using pretrained BERT-based model
por: Reddy, K. Sahit, et al.
Publicado: (2025)

Fine-Tuning BERT for Domain-Specific Question Answering: Toward Educational NLP Resources at University Scale
por: Montfrond, Aurélie
Publicado: (2025)

Perception of Knowledge Boundary for Large Language Models through Semi-open-ended Question Answering
por: Wen, Zhihua, et al.
Publicado: (2024)

DAMR: Efficient and Adaptive Context-Aware Knowledge Graph Question Answering with LLM-Guided MCTS
por: Wang, Yingxu, et al.
Publicado: (2025)