Copertina

ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Luo, Haoran, E, Haihong, Tang, Zichen, Peng, Shiyao, Guo, Yikai, Zhang, Wentai, Ma, Chenghao, Dong, Guanting, Song, Meina, Lin, Wei, Zhu, Yifan, Tuan, Luu Anh
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Computation and Language Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

Text2NKG: Fine-Grained N-ary Relation Extraction for N-ary relational Knowledge Graph Construction
di: Luo, Haoran, et al.
Pubblicazione: (2023)

HyperGraphRAG: Retrieval-Augmented Generation via Hypergraph-Structured Knowledge Representation
di: Luo, Haoran, et al.
Pubblicazione: (2025)

Graph-R1: Towards Agentic GraphRAG Framework via End-to-end Reinforcement Learning
di: Luo, Haoran, et al.
Pubblicazione: (2025)

Ride the Wave: Precision-Allocated Sparse Attention for Smooth Video Generation
di: Zhang, Wentai, et al.
Pubblicazione: (2026)

Fine-Grained Knowledge Structuring and Retrieval for Visual Question Answering
di: Zhang, Zhengxuan, et al.
Pubblicazione: (2025)

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

MRAG: A Modular Retrieval Framework for Time-Sensitive Question Answering
di: Siyue, Zhang, et al.
Pubblicazione: (2024)

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

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

ChatGPT as a Math Questioner? Evaluating ChatGPT on Generating Pre-university Math Questions
di: Van Long, Phuoc Pham, et al.
Pubblicazione: (2023)

SynTQA: Synergistic Table-based Question Answering via Mixture of Text-to-SQL and E2E TQA
di: Zhang, Siyue, et al.
Pubblicazione: (2024)

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

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

More Bias, Less Bias: BiasPrompting for Enhanced Multiple-Choice Question Answering
di: Vu, Duc Anh, et al.
Pubblicazione: (2025)

KERAG: Knowledge-Enhanced Retrieval-Augmented Generation for Advanced Question Answering
di: Sun, Yushi, et al.
Pubblicazione: (2025)

Towards Mixed-Modal Retrieval for Universal Retrieval-Augmented Generation
di: Zhang, Chenghao, et al.
Pubblicazione: (2025)

As Simple as Fine-tuning: LLM Alignment via Bidirectional Negative Feedback Loss
di: Mao, Xin, et al.
Pubblicazione: (2024)

Encoding and Controlling Global Semantics for Long-form Video Question Answering
di: Nguyen, Thong Thanh, et al.
Pubblicazione: (2024)

PDF Retrieval Augmented Question Answering
di: Hoang, Thi Thu Uyen, et al.
Pubblicazione: (2025)

KaFT: Knowledge-aware Fine-tuning for Boosting LLMs' Domain-specific Question-Answering Performance
di: Zhong, Qihuang, et al.
Pubblicazione: (2025)

From Stimuli to Minds: Enhancing Psychological Reasoning in LLMs via Bilateral Reinforcement Learning
di: Feng, Yichao, et al.
Pubblicazione: (2025)

BenchBench: Benchmarking Automated Benchmark Generation
di: Zheng, Yandan, et al.
Pubblicazione: (2026)

Fine-tuning Multi-hop Question Answering with Hierarchical Graph Network
di: Xiong, Guanming
Pubblicazione: (2020)

HiFlow: Hierarchical Feedback-Driven Optimization for Constrained Long-Form Text Generation
di: Zhu, Yifan, et al.
Pubblicazione: (2026)

ConRAG: Consensus-Driven Multi-View Retrieval for Multi-Hop Question Answering
di: Zhu, Yikai, et al.
Pubblicazione: (2026)

KG2QA: Knowledge Graph-enhanced Retrieval-augmented Generation for Communication Standards Question Answering
di: Luo, Zhongze, et al.
Pubblicazione: (2025)

Knowledge Compression via Question Generation: Enhancing Multihop Document Retrieval without Fine-tuning
di: Eponon, Anvi Alex, et al.
Pubblicazione: (2025)

Fine-tuning Smaller Language Models for Question Answering over Financial Documents
di: Phogat, Karmvir Singh, et al.
Pubblicazione: (2024)

Fine-tune the Entire RAG Architecture (including DPR retriever) for Question-Answering
di: Siriwardhana, Shamane, et al.
Pubblicazione: (2021)

Fine-tuning Large Language Models for Improving Factuality in Legal Question Answering
di: Hu, Yinghao, et al.
Pubblicazione: (2025)

Object Retrieval for Visual Question Answering with Outside Knowledge
di: Kan, Shichao, et al.
Pubblicazione: (2024)

AKEW: Assessing Knowledge Editing in the Wild
di: Wu, Xiaobao, et al.
Pubblicazione: (2024)

Enhancing Complex Question Answering over Knowledge Graphs through Evidence Pattern Retrieval
di: Ding, Wentao, et al.
Pubblicazione: (2024)

Benchmarking Retrieval-Augmented Multimodal Generation for Document Question Answering
di: Dong, Kuicai, et al.
Pubblicazione: (2025)

Progressive Multimodal Reasoning via Active Retrieval
di: Dong, Guanting, et al.
Pubblicazione: (2024)

Question-Answering System for Bangla: Fine-tuning BERT-Bangla for a Closed Domain
di: Roy, Subal Chandra, et al.
Pubblicazione: (2024)

A Comprehensive Evaluation of Transformer-Based Question Answering Models and RAG-Enhanced Design
di: Zhang, Zichen, et al.
Pubblicazione: (2025)

Risk Profiling and Modulation for LLMs
di: Wang, Yikai, et al.
Pubblicazione: (2025)

ChatR1: Reinforcement Learning for Conversational Reasoning and Retrieval Augmented Question Answering
di: Lupart, Simon, et al.
Pubblicazione: (2025)